Jeremy Dahl
Associate Professor of Radiology (Pediatric Radiology)
Radiology - Pediatric Radiology
Web page: http://ultrasound.stanford.edu
Bio
My laboratory develops and implements ultrasonic beamforming methods, ultrasonic imaging modalities, and ultrasonic devices. Our current focus is on beamforming methods that are capable of generating high-quality images in the difficult-to-image patient population. These methods include general B-mode and Doppler imaging techniques that utilize additional information from the ultrasonic wavefields. We attempt to build these imaging methods into real-time imaging systems in order to apply them to clinical applications. Other projects in our laboratory include the development of novel ultrasonic imaging devices, such as small, intravascular ultrasound arrays that are capable of generating high acoustic output. These arrays are capable of generating radiation force in order to push on tissue to elucidate the mechanical properties and structure of vascular plaques.
Academic Appointments
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Associate Professor, Radiology - Pediatric Radiology
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Member, Bio-X
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Member, Cardiovascular Institute
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Member, Stanford Cancer Institute
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Member, Wu Tsai Neurosciences Institute
Administrative Appointments
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Director, Research Academic Affairs, Department of Radiology (2020 - Present)
Honors & Awards
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Fellow, American Institute of Ultrasound in Medicine (2021)
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Senior Member, Institute of Electrical and Electronics Engineers (2020)
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Distinguished Investigator Award, The Academy for Radiology & Biomedical Imaging Research (2018)
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Outstanding Paper Award, IEEE Ultrasonics, Ferroelectrics, and Frequency Control Society (2011)
Boards, Advisory Committees, Professional Organizations
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Board of Governors, American Institute of Ultrasound in Medicine (2021 - Present)
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Chair, Basic Science & Instrumentation Community, American Institute of Ultrasound in Medicine (2018 - Present)
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Associate Editor, IEEE Transactions on Medical Imaging (2017 - Present)
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Associate Editor, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control (2013 - Present)
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Associate Editor, Ultrasonic Imaging (2013 - Present)
Professional Education
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B.S., University of Cincinnati, Electrical Engineering (1999)
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Ph.D., Duke University, Biomedical Engineering (2004)
Community and International Work
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Aberration Correction in the Minimum Variance Distortionless Response Beamformer, Lima, Perú
Topic
Adaptive Beamforming in Medical Ultrasound
Partnering Organization(s)
Pontificia Universidad Católica del Perú
Location
International
Ongoing Project
Yes
Opportunities for Student Involvement
Yes
Patents
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D. Hyun, L. Brickson, K. Looby, and J. J. Dahl. "United States Patent 11,030,780 Ultrasound speckle reduction and image reconstruction using deep learning techniques", Leland Stanford Junior University, Jun 8, 2021
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T. Lee, J. K. Willmann, and J. J. Dahl. "United States Patent 10,792,518 System and device for improved ultrasound cavitation mapping", The Board of Trustees of the Leland Stanford Junior University, Oct 6, 2020
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J. J. Dahl, D. Hyun, and J. K. Willmann. "United States Patent 10,751,028 Coherence-Based Beamforming for Improved Microbubble Detection in Contrast Enhanced Ultrasound", Leland Stanford Junior University, Aug 25, 2020
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J. J. Dahl and Y. L. Li. "United States Patent 10,111,644 A Method of Coherent Flow Imaging Using Synthetic Transmit Focusing and Acoustic Reciprocity", Leland Stanford Junior University, Oct 30, 2018
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J. Doherty, J. J. Dahl, K. R. Nightingale, and G. E. Trahey. "United States Patent 9,883,852 Ultrasound systems, methods and computer program products for estimating tissue deformation with harmonic signals", Duke University, Feb 6, 2018
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J. J. Dahl, M. A. Lediju Bell, and G. E. Trahey. "United States Patent 9,254,116 Methods, systems and apparatuses for Van-Cittert Zernike imaging", Duke University, Feb 9, 2016
Current Research and Scholarly Interests
Our laboratory is an ultrasound engineering laboratory that develops and implements ultrasonic beamforming methods, ultrasonic imaging modalities, and ultrasonic devices for diagnostic imaging applications. Our current focus is on beamforming methods that are capable of generating high-quality images in difficult-to-image patients and imaging conditions. These methods include general B-mode and Doppler imaging techniques that utilize additional information from the ultrasonic wavefields to improve image quality. We attempt to build these imaging methods into real-time imaging systems in order to apply them to clinical applications, such as cardiac, liver, and fetal imaging. In addition, our laboratory develops ultrasonic imaging devices, such as small, intravascular ultrasound (IVUS) arrays that are capable of generating high acoustic output. These arrays are capable of generating radiation force in order to push on tissue to elucidate the mechanical properties and structure of vascular plaques, but can be utilized for therapeutic applications of ultrasound as well.
Current projects in our laboratory involve the simulation of nonlinear, acoustic wave propagation under complex models of human anatomy and the impact of anatomy and acoustic parameters on the resulting images. Often, the anatomy and acoustic parameters are the source of aberration and diffuse reverberation of the wavefronts, both of which contribute to image clutter. In addition to modeling and understanding these sources of clutter, we have developed imaging methods that utilize the spatial coherence of the ultrasonic wavefields in order to mitigate the impact of reverberation noise (called short-lag spatial coherence [SLSC], short-lag angular coherence [SLAC], and coherent flow power Doppler [CFPD] imaging) and the estimation of local sound speed in order to mitigate wavefront distortion. These methods demonstrate significant improvement in image quality and the ability to detect slow flow under difficult-to-image scenarios. We have developed a prototype imaging system capable of implementing some of these techniques at up to 30-35 frames per second. We are currently developing methods and approximations to the spatial coherence functions in order to increase the real-time display and image quality. This system will be utilized in clinical studies of cardiac function and placental imaging.
We have recently integrated machine learning techniques to construct neural-network beamformers for a variety of imaging tasks. For example, we recently constructed a neural-network beamformer to output ultrasound images with speckle reduction. These images maintained the resolution of conventional ultrasound images while improving the visualization of tissue structures in human imaging. We have also demonstrated that this neural-network beamformer can be implemented in real-time imaging.
Other projects in our laboratory include molecular imaging techniques and B7-H3 targeted microbubbles, passive cavitation mapping, and therapeutic ultrasound systems for drug delivery.
Clinical Trials
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Serial Ultrasound in Metastatic Renal Cell Carcinoma (mRCC)
Not Recruiting
To assess whether changes in quantitative tumor perfusion parameters after 3 weeks of treatment, as measured by power Doppler ultrasound, can predict initial objective response, defined by current standard-of-care, to therapy at 12 weeks after start of treatment
Stanford is currently not accepting patients for this trial. For more information, please contact Christian Hoerner, PhD, 650-721-3206.
2024-25 Courses
- Medical Imaging Systems I
EE 369A (Spr) -
Independent Studies (10)
- Directed Investigation
BIOE 392 (Aut, Win, Spr, Sum) - Directed Reading in Radiology
RAD 299 (Aut, Win, Spr, Sum) - Directed Studies in Applied Physics
APPPHYS 290 (Aut, Win, Spr, Sum) - Directed Study
BIOE 391 (Aut, Win, Spr, Sum) - Early Clinical Experience in Radiology
RAD 280 (Aut, Win, Spr, Sum) - Graduate Research
BMP 399 (Aut, Win, Spr, Sum) - Graduate Research
RAD 399 (Aut, Win, Spr, Sum) - Medical Scholars Research
RAD 370 (Aut, Win, Spr, Sum) - Readings in Radiology Research
RAD 101 (Aut, Win, Spr, Sum) - Undergraduate Research
RAD 199 (Aut, Win, Spr, Sum)
- Directed Investigation
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Prior Year Courses
2023-24 Courses
- Advanced Ultrasound Imaging
BMP 235, RAD 235 (Win) - Medical Imaging Systems I
BMP 269A, EE 369A (Win)
2022-23 Courses
- Advanced Ultrasound Imaging
RAD 235 (Win) - Biomedical Signals II
BMP 212, RAD 212 (Win)
2021-22 Courses
- Advanced Ultrasound Imaging
RAD 235 (Win)
- Advanced Ultrasound Imaging
Stanford Advisees
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Doctoral Dissertation Reader (AC)
Junyi Wang, Brenda Yu -
Postdoctoral Faculty Sponsor
Jihye Baek, Hoda Hashemi, Junhong Park -
Doctoral Dissertation Advisor (AC)
Thurston Brevett, Benjamin Frey, Caelia Thomas, Louise Zhuang
All Publications
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Noninvasive estimation of local speed of sound by pulse-echo ultrasound in a rat model of nonalcoholic fatty liver.
Physics in medicine and biology
1800
Abstract
Objective:Speed of sound has previously been demonstrated to correlate with fat concentration in the liver. However, estimating speed of sound in the liver noninvasively can be biased by the speed of sound of the tissue layers overlying the liver. Here, we demonstrate a noninvasive local speed of sound estimator, which is based on a layered media assumption, that can accurately capture the speed of sound in the liver. We validate the estimator using an obese Zucker rat model of non-alcoholic fatty liver disease and correlate the local speed of sound with liver steatosis.Approach:We estimated the local and global average speed of sound noninvasively in 4 lean Zucker rats fed a normal diet and 16 obese Zucker rats fed a high fat diet for up to 8 weeks. The ground truth speed of sound and fat concentration were measured from the excised liver using established techniques.Main Results:The noninvasive, local speed of sound estimates of the livers were similar in value to their corresponding "ground truth'' measurements, having a slope ± standard error of the regression of 0.82 ± 0.15 (R2= 0.74 and p < 0.001). Measurement of the noninvasive global average speed of sound did not reliably capture the ``ground truth'' speed of sound in the liver, having a slope of 0.35 ± 0.07 (R2= 0.74 and p < 0.001). Decreasing local speed of sound was observed with increasing hepatic fat accumulation (approximately -1.7 m/s per 1% increase in hepatic fat) and histopathology steatosis grading (approximately -10 to -13 m/s per unit increase in steatosis grade). Local speed of sound estimates were highly correlated with steatosis grade, having Pearson and Spearman correlation coefficients both ranging from -0.87 to -0.78. In addition, a lobe-dependent speed of sound in the liver was observed by theex vivomeasurements, with speed of sound differences of up to 25 m/s (p < 0.003) observed between lobes in the liver of the same animal.Significance:The findings of this study suggest that local speed of sound estimation has the potential to be used to predict or assist in the measurement of hepatic fat concentration and that the global average speed of sound should be avoided in hepatic fat estimation due to significant bias in the speed of sound estimate.
View details for DOI 10.1088/1361-6560/ac4562
View details for PubMedID 34933288
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Passive Cavitation Mapping by Cavitation Source Localization From Aperture-Domain Signals-Part II: Phantom and In Vivo Experiments
IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL
2021; 68 (4): 1198–1212
Abstract
Passive cavitation mapping (PCM) techniques typically utilize a time-exposure acoustic (TEA) approach, where the received radio frequency data are beamformed, squared, and integrated over time. Such PCM-TEA cavitation maps typically suffer from long-tail artifacts and poor axial resolution with pulse-echo diagnostic arrays. Here, we utilize a recently developed PCM technique based on cavitation source localization (CSL), which fits a hyperbolic function to the received cavitation wavefront. A filtering method based on the root-mean-square error (rmse) of the hyperbolic fit is utilized to filter out spurious signals. We apply a wavefront correction technique to the signals with poor fit quality to recover additional cavitation signals and improve cavitation localization. Validation of the PCM-CSL technique with rmse filtering and wavefront correction was conducted in experiments with a tissue-mimicking flow phantom and an in vivo mouse model of cancer. It is shown that the quality of the hyperbolic fit, necessary for the PCM-CSL, requires an rmse < 0.05 mm2 in order to accurately localize the cavitation sources. A detailed study of the wavefront correction technique was carried out, and it was shown that, when applied to experiments with high noise and interference from multiple cavitating microbubbles, it was capable of effectively correcting noisy wavefronts without introducing spurious cavitation sources, thereby improving the quality of the PCM-CSL images. In phantom experiments, the PCM-CSL was capable of precisely localizing sources on the therapy beam axis and off-axis sources. In vivo cavitation experiments showed that PMC-CSL showed a significant improvement over PCM-TEA and yielded acceptable localization of cavitation signals in mice.
View details for DOI 10.1109/TUFFC.2020.3035709
View details for Web of Science ID 000634502600024
View details for PubMedID 33141666
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Reverberation Noise Suppression in Ultrasound Channel Signals Using a 3D Fully Convolutional Neural Network
IEEE TRANSACTIONS ON MEDICAL IMAGING
2021; 40 (4): 1184–95
Abstract
Diffuse reverberation is ultrasound image noise caused by multiple reflections of the transmitted pulse before returning to the transducer, which degrades image quality and impedes the estimation of displacement or flow in techniques such as elastography and Doppler imaging. Diffuse reverberation appears as spatially incoherent noise in the channel signals, where it also degrades the performance of adaptive beamforming methods, sound speed estimation, and methods that require measurements from channel signals. In this paper, we propose a custom 3D fully convolutional neural network (3DCNN) to reduce diffuse reverberation noise in the channel signals. The 3DCNN was trained with channel signals from simulations of random targets that include models of reverberation and thermal noise. It was then evaluated both on phantom and in-vivo experimental data. The 3DCNN showed improvements in image quality metrics such as generalized contrast to noise ratio (GCNR), lag one coherence (LOC) contrast-to-noise ratio (CNR) and contrast for anechoic regions in both phantom and in-vivo experiments. Visually, the contrast of anechoic regions was greatly improved. The CNR was improved in some cases, however the 3DCNN appears to strongly remove uncorrelated and low amplitude signal. In images of in-vivo carotid artery and thyroid, the 3DCNN was compared to short-lag spatial coherence (SLSC) imaging and spatial prediction filtering (FXPF) and demonstrated improved contrast, GCNR, and LOC, while FXPF only improved contrast and SLSC only improved CNR.
View details for DOI 10.1109/TMI.2021.3049307
View details for Web of Science ID 000637532800008
View details for PubMedID 33400649
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Nondestructive Detection of Targeted Microbubbles Using Dual-Mode Data and Deep Learning for Real-Time Ultrasound Molecular Imaging.
IEEE transactions on medical imaging
2020
Abstract
Ultrasound molecular imaging (UMI) is enabled by targeted microbubbles (MBs), which are highly reflective ultrasound contrast agents that bind to specific biomarkers. Distinguishing between adherent MBs and background signals can be challenging in vivo. The preferred preclinical technique is differential targeted enhancement (DTE), wherein a strong acoustic pulse is used to destroy MBs to verify their locations. However, DTE intrinsically cannot be used for real-time imaging and may cause undesirable bioeffects. In this work, we propose a simple 4-layer convolutional neural network to nondestructively detect adherent MB signatures. We investigated several types of input data to the network: "anatomy-mode" (fundamental frequency)", contrast-mode" (pulse-inversion harmonic frequency), or both, i.e.", dual-mode", using IQ channel signals, the channel sum, or the channel sum magnitude. Training and evaluation were performed on in vivo mouse tumor data and microvessel phantoms. The dual-mode channel signals yielded optimal performance, achieving a soft Dice coefficient of 0.45 and AUC of 0.91 in two test images. In a volumetric acquisition, the network best detected a breast cancer tumor, resulting in a generalized contrast-to-noise ratio (GCNR) of 0.93 and Kolmogorov-Smirnov statistic (KSS) of 0.86, outperforming both regular contrast mode imaging (GCNR=0.76, KSS=0.53) and DTE imaging (GCNR=0.81, KSS=0.62). Further development of the methodology is necessary to distinguish free from adherent MBs. These results demonstrate that neural networks can be trained to detect targeted MBs with DTE-like quality using nondestructive dual-mode data, and can be used to facilitate the safe and real-time translation of UMI to clinical applications.
View details for DOI 10.1109/TMI.2020.2986762
View details for PubMedID 32286963
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Efficacy of affibody-based ultrasound molecular imaging of vascular B7-H3 for breast cancer detection.
Clinical cancer research : an official journal of the American Association for Cancer Research
2020
Abstract
Human B7-H3 (hB7-H3) is a promising molecular imaging target differentially expressed on the neovasculature of breast cancer and has been validated for pre-clinical ultrasound (US) imaging with anti-B7-H3-antibody functionalized microbubbles (MB). However, smaller ligands such as affibodies (ABY) are more suitable for the design of clinical-grade targeted-MB.Binding of ABYB7-H3 was confirmed with soluble and cell-surface B7-H3 by flow-cytometry. MB were functionalized with ABYB7-H3 or anti-B7-H3-antibody (AbB7-H3). Control and targeted-MB were tested for binding to hB7-H3-expressing cells (MS1hB7-H3) under shear stress conditions. US imaging was performed with MBABY-B7-H3 in an orthotopic mouse model of human MDA-MB-231 co-implanted with MS1hB7-H3 or control MS1WT cells and a transgenic mouse model of breast cancer development.ABYB7-H3 specifically binds to MS1hB7-H3 and murine-B7-H3-expressing monocytes. MBABY-B7-H3 (8.5 ± 1.4 MB/cell) and MBAb-B7-H3 (9.8 ± 1.3 MB/cell) showed significantly higher (p<0.0001) binding to the MS1hB7-H3 cells compared to control MBNon-targeted (0.5 ± 0.1 MB/cell) under shear stress conditions. In vivo, MBABY-B7-H3 produced significantly higher (p<0.04) imaging signal in orthotopic tumors co-engrafted with MS1hB7-H3 (8.4 ± 3.3 a.u.) compared to tumors with MS1WT cells (1.4 ± 1.0 a.u.). In the transgenic mouse tumors, MBABY-B7-H3 (9.6 ± 2.0 a.u.) produced higher (p<0.0002) imaging signal compared to MBNon-targeted (1.3 ± 0.3 a.u.), while MBABY-B7-H3 signal in normal mammary glands and tumors with B7-H3-blocking significantly reduced (p<0.02) imaging signal.MBABY-B7-H3 enhances B7-H3 molecular signal in breast tumors, improving cancer detection, while offering the advantages of a small size ligand and easier production for clinical imaging.
View details for DOI 10.1158/1078-0432.CCR-19-1655
View details for PubMedID 31924738
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Beamforming and Speckle Reduction Using Neural Networks.
IEEE transactions on ultrasonics, ferroelectrics, and frequency control
2019; 66 (5): 898–910
Abstract
With traditional beamforming methods, ultrasound B-mode images contain speckle noise caused by the random interference of subresolution scatterers. In this paper, we present a framework for using neural networks to beamform ultrasound channel signals into speckle-reduced B-mode images. We introduce log-domain normalization-independent loss functions that are appropriate for ultrasound imaging. A fully convolutional neural network was trained with the simulated channel signals that were coregistered spatially to ground-truth maps of echogenicity. Networks were designed to accept 16 beamformed subaperture radio frequency (RF) signals. Training performance was compared as a function of training objective, network depth, and network width. The networks were then evaluated on the simulation, phantom, and in vivo data and compared against the existing speckle reduction techniques. The most effective configuration was found to be the deepest (16 layer) and widest (32 filter) networks, trained to minimize a normalization-independent mixture of the l1 and multiscale structural similarity (MS-SSIM) losses. The neural network significantly outperformed delay-and-sum (DAS) and receive-only spatial compounding in speckle reduction while preserving resolution and exhibited improved detail preservation over a nonlocal means method. This work demonstrates that ultrasound B-mode image reconstruction using machine-learned neural networks is feasible and establishes that networks trained solely in silico can be generalized to real-world imaging in vivo to produce images with significantly reduced speckle.
View details for DOI 10.1109/TUFFC.2019.2903795
View details for PubMedID 30869612
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Local speed of sound estimation in tissue using pulse-echo ultrasound: Model-based approach.
The Journal of the Acoustical Society of America
2018; 144 (1): 254
Abstract
A model and method to accurately estimate the local speed of sound in tissue from pulse-echo ultrasound data is presented. The model relates the local speeds of sound along a wave propagation path to the average speed of sound over the path, and allows one to avoid bias in the sound-speed estimates that can result from overlying layers of subcutaneous fat and muscle tissue. Herein, the average speed of sound using the approach by Anderson and Trahey is measured, and then the authors solve the proposed model for the local sound-speed via gradient descent. The sound-speed estimator was tested in a series of simulation and ex vivo phantom experiments using two-layer media as a simple model of abdominal tissue. The bias of the local sound-speed estimates from the bottom layers is less than 6.2m/s, while the bias of the matched Anderson's estimates is as high as 66m/s. The local speed-of-sound estimates have higher standard deviation than the Anderson's estimates. When the mean local estimate is computed over a 5-by-5mm region of interest, its standard deviation is reduced to less than 7m/s.
View details for PubMedID 30075660
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Longitudinal assessment of ultrasound-guided complementary microRNA therapy of hepatocellular carcinoma.
Journal of controlled release : official journal of the Controlled Release Society
2018
Abstract
Hepatocellular carcinoma (HCC) is the second-leading cause of cancer related deaths worldwide and new strategies to efficiently treat HCC are critically needed. The aim of this study was to assess the longitudinal treatment effects of two complementary miRNAs (miRNA-122 and antimiR-21) encapsulated in biodegradable poly lactic-co-glycolic acid (PLGA) - poly ethylene glycol (PEG) nanoparticles (PLGA-PEG-NPs), administered by an ultrasound-guided and microbubble-mediated delivery approach in doxorubicin-resistant and non-resistant human HCC xenografts. Using in vitro assays, we show that repeated miRNA treatments resulted in gradual reduction of HCC cell proliferation and reversal of doxorubicin resistance. Optimized US parameters resulted in a 9-16 fold increase (p = 0.03) in miRNA delivery in vivo in HCC tumors after two US treatments compared to tumors without US treatment. Furthermore, when combined with doxorubicin (10 mg/kg), longitudinal miRNA delivery showed a significant inhibition of tumor growth in both resistant and non-resistant tumors compared to non-treated, and doxorubicin treated controls. We also found that ultrasound-guided miRNA therapy was not only effective in inhibiting HCC tumor growth but also allowed lowering the dose of doxorubicin needed to induce apoptosis. In conclusion, the results of this study suggest that ultrasound-guided and MB-mediated delivery of miRNA-122 and antimiR-21, when combined with doxorubicin, is a highly effective approach to treat resistant HCC while reducing doxorubicin doses needed for treating non-resistant HCC in longitudinal treatment experiments. Further refinement of this strategy could potentially lead to better treatment outcomes for patients with HCC.
View details for PubMedID 29758233
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Coherent Flow Power Doppler (CFPD): Flow Detection Using Spatial Coherence Beamforming
IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL
2015; 62 (6): 1022-1035
Abstract
Power Doppler imaging is a widely used method of flow detection for tissue perfusion monitoring, inflammatory hyperemia detection, deep vein thrombosis diagnosis, and other clinical applications. However, thermal noise and clutter limit its sensitivity and ability to detect slow flow. In addition, large ensembles are required to obtain sufficient sensitivity, which limits frame rate and yields flash artifacts during moderate tissue motion. We propose an alternative method of flow detection using the spatial coherence of backscattered ultrasound echoes. The method enhances slow flow detection and frame rate, while maintaining or improving the signal quality of conventional power Doppler techniques. The feasibility of this method is demonstrated with simulations, flow-phantom experiments, and an in vivo human thyroid study. In comparison with conventional power Doppler imaging, the proposed method can produce Doppler images with 15- to 30-dB SNR improvement. Therefore, the method is able to detect flow with velocities approximately 50% lower than conventional power Doppler, or improve the frame rate by a factor of 3 with comparable image quality. The results show promise for clinical applications of the method.
View details for DOI 10.1109/TUFFC.2014.006793
View details for Web of Science ID 000356162000005
View details for PubMedID 26067037
View details for PubMedCentralID PMC4467462
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Sources of Image Degradation in Fundamental and Harmonic Ultrasound Imaging: A Nonlinear, Full-Wave, Simulation Study (vol 58, pg 754, 2011)
IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL
2011; 58 (6): 1272-1283
Abstract
A full-wave equation that describes nonlinear propagation in a heterogeneous attenuating medium is solved numerically with finite differences in the time domain. This numerical method is used to simulate propagation of a diagnostic ultrasound pulse through a measured representation of the human abdomen with heterogeneities in speed of sound, attenuation, density, and nonlinearity. Conventional delay-and-sum beamforming is used to generate point spread functions (PSFs) that display the effects of these heterogeneities. For the particular imaging configuration that is modeled, these PSFs reveal that the primary source of degradation in fundamental imaging is due to reverberation from near-field structures. Compared with fundamental imaging, reverberation clutter in harmonic imaging is 27.1 dB lower. Simulated tissue with uniform velocity but unchanged impedance characteristics indicates that for harmonic imaging, the primary source of degradation is phase aberration.
View details for DOI 10.1109/TUFFC.2011.1938
View details for Web of Science ID 000291880200021
View details for PubMedID 21693410
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Investigating pulse-echo sound speed estimation in breast ultrasound with deep learning.
Ultrasonics
2023; 137: 107179
Abstract
Ultrasound is an adjunct tool to mammography that can quickly and safely aid physicians in diagnosing breast abnormalities. Clinical ultrasound often assumes a constant sound speed to form diagnostic B-mode images. However, the components of breast tissue, such as glandular tissue, fat, and lesions, differ in sound speed. Given a constant sound speed assumption, these differences can degrade the quality of reconstructed images via phase aberration. Sound speed images can be a powerful tool for improving image quality and identifying diseases if properly estimated. To this end, we propose a supervised deep-learning approach for sound speed estimation from analytic ultrasound signals. We develop a large-scale simulated ultrasound dataset that generates representative breast tissue samples by modeling breast gland, skin, and lesions with varying echogenicity and sound speed. We adopt a fully convolutional neural network architecture trained on a simulated dataset to produce an estimated sound speed map. The simulated tissue is interrogated with a plane wave transmit sequence, and the complex-value reconstructed images are used as input for the convolutional network. The network is trained on the sound speed distribution map of the simulated data, and the trained model can estimate sound speed given reconstructed pulse-echo signals. We further incorporate thermal noise augmentation during training to enhance model robustness to artifacts found in real ultrasound data. To highlight the ability of our model to provide accurate sound speed estimations, we evaluate it on simulated, phantom, and in-vivo breast ultrasound data.
View details for DOI 10.1016/j.ultras.2023.107179
View details for PubMedID 37939413
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Fast volumetric ultrasound facilitates high-resolution 3D mapping of tissue compartments.
Science advances
2023; 9 (22): eadg8176
Abstract
Volumetric ultrasound imaging has the potential for operator-independent acquisition and enhanced field of view. Panoramic acquisition has many applications across ultrasound; spanning musculoskeletal, liver, breast, and pediatric imaging; and image-guided therapy. Challenges in high-resolution human imaging, such as subtle motion and the presence of bone or gas, have limited such acquisition. These issues can be addressed with a large transducer aperture and fast acquisition and processing. Programmable, ultrafast ultrasound scanners with a high channel count provide an unprecedented opportunity to optimize volumetric acquisition. In this work, we implement nonlinear processing and develop distributed beamformation to achieve fast acquisition over a 47-centimeter aperture. As a result, we achieve a 50-micrometer -6-decibel point spread function at 5 megahertz and resolve in-plane targets. A large volume scan of a human limb is completed in a few seconds, and in a 2-millimeter dorsal vein, the image intensity difference between the vessel center and surrounding tissue was ~50 decibels, facilitating three-dimensional reconstruction of the vasculature.
View details for DOI 10.1126/sciadv.adg8176
View details for PubMedID 37256942
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Synthesis and Evaluation of Clinically Translatable Targeted Microbubbles Using a Microfluidic Device for In Vivo Ultrasound Molecular Imaging.
International journal of molecular sciences
2023; 24 (10)
Abstract
The main aim of this study is to synthesize contrast microbubbles (MB) functionalized with engineered protein ligands using a microfluidic device to target breast cancer specific vascular B7-H3 receptor in vivo for diagnostic ultrasound imaging. We used a high-affinity affibody (ABY) selected against human/mouse B7-H3 receptor for engineering targeted MBs (TMBs). We introduced a C-terminal cysteine residue to this ABY ligand for facilitating site-specific conjugation to DSPE-PEG-2K-maleimide (M. Wt = 2.9416 kDa) phospholipid for MB formulation. We optimized the reaction conditions of bioconjugations and applied it for microfluidic based synthesis of TMBs using DSPE-PEG-ABY and DPPC liposomes (5:95 mole %). The binding affinity of TMBs to B7-H3 (MBB7-H3) was tested in vitro in MS1 endothelial cells expressing human B7-H3 (MS1B7-H3) by flow chamber assay, and by ex vivo in the mammary tumors of a transgenic mouse model (FVB/N-Tg (MMTV-PyMT)634Mul/J), expressing murine B7-H3 in the vascular endothelial cells by immunostaining analyses. We successfully optimized the conditions needed for generating TMBs using a microfluidic system. The synthesized MBs showed higher affinity to MS1 cells engineered to express higher level of hB7-H3, and in the endothelial cells of mouse tumor tissue upon injecting TMBs in a live animal. The average number (mean ± SD) of MBB7-H3 binding to MS1B7-H3 cells was estimated to be 354.4 ± 52.3 per field of view (FOV) compared to wild-type control cells (MS1WT; 36.2 ± 7.5/FOV). The non-targeted MBs did not show any selective binding affinity to both the cells (37.7 ± 7.8/FOV for MS1B7-H3 and 28.3 ± 6.7/FOV for MS1WT cells). The fluorescently labeled MBB7-H3 upon systemic injection in vivo co-localized to tumor vessels, expressing B7-H3 receptor, as validated by ex vivo immunofluorescence analyses. We have successfully synthesized a novel MBB7-H3 via microfluidic device, which allows us to produce on demand TMBs for clinical applications. This clinically translatable MBB7-H3 showed significant binding affinity to vascular endothelial cells expressing B7-H3 both in vitro and in vivo, which shows its potential for clinical translation as a molecular ultrasound contrast agent for human applications.
View details for DOI 10.3390/ijms24109048
View details for PubMedID 37240396
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Optimal transmit apodization for the maximization of lag-one coherence with applications to aberration delay estimation.
Ultrasonics
2023; 132: 107010
Abstract
Phase aberration is one of the major sources of image degradation in medical ultrasound imaging. One of the earliest and simplest techniques to correct for phase aberration involves nearest-neighbor cross correlation to estimate delays between neighboring receive channels and the compensation of aberration delays in a delay-and-sum beamformer. The main challenge is that neighboring receive channels may not have sufficient signal correlation to accurately estimate the aberration delays. Although algorithms such as the translating transmit aperture or the common midpoint gather are designed to perfectly maximize signal correlations between received signals, these algorithms require the use of different transmit apertures for each received signal. Instead, this work proposes the use of a single globally-applicable transmit apodization function that optimizes the lag-one coherence based on the van Cittert-Zernike theorem. For the application to phase aberration correction, it is shown across 20 different zero-mean Gaussian-random aberrators that the proposed optimal apodization function reduces the estimation error in the aberration delay profile from 22.85% to 15.72%.
View details for DOI 10.1016/j.ultras.2023.107010
View details for PubMedID 37105021
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Sound Speed Estimation for Distributed Aberration Correction in Laterally Varying Media.
IEEE transactions on computational imaging
2023; 9: 367-382
Abstract
Spatial variation in sound speed causes aberration in medical ultrasound imaging. Although our previous work has examined aberration correction in the presence of a spatially varying sound speed, practical implementations were limited to layered media due to the sound speed estimation process involved. Unfortunately, most models of layered media do not capture the lateral variations in sound speed that have the greatest aberrative effect on the image. Building upon a Fourier split-step migration technique from geophysics, this work introduces an iterative sound speed estimation and distributed aberration correction technique that can model and correct for aberrations resulting from laterally varying media. We first characterize our approach in simulations where the scattering in the media is known a-priori. Phantom and in-vivo experiments further demonstrate the capabilities of the iterative correction technique. As a result of the iterative correction scheme, point target resolution improves by up to a factor of 4 and lesion contrast improves by up to 10.0 dB in the phantom experiments presented.
View details for DOI 10.1109/tci.2023.3261507
View details for PubMedID 37997603
View details for PubMedCentralID PMC10665028
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Rapid beamforming of ultrasound chirp signals in frequency domain using the chirp scaling algorithm
ACOUSTICAL SOC AMER AMER INST PHYSICS. 2023
View details for DOI 10.1121/10.0018774
View details for Web of Science ID 001000287901325
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Aberration correction in diagnostic ultrasound: A review of the prior field and current directions.
Zeitschrift fur medizinische Physik
2023
Abstract
Medical ultrasound images are reconstructed with simplifying assumptions on wave propagation, with one of the most prominent assumptions being that the imaging medium is composed of a constant sound speed. When the assumption of a constant sound speed are violated, which is true in most in vivoor clinical imaging scenarios, distortion of the transmitted and received ultrasound wavefronts appear and degrade the image quality. This distortion is known as aberration, and the techniques used to correct for the distortion are known as aberration correction techniques. Several models have been proposed to understand and correct for aberration. In this review paper, aberration and aberration correction are explored from the early models and correction techniques, including the near-field phase screen model and its associated correction techniques such as nearest-neighbor cross-correlation, to more recent models and correction techniques that incorporate spatially varying aberration and diffractive effects, such as models and techniques that rely on the estimation of the sound speed distribution in the imaging medium. In addition to historical models, future directions of ultrasound aberration correction are proposed.
View details for DOI 10.1016/j.zemedi.2023.01.003
View details for PubMedID 36849295
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Differentiable Beamforming for Ultrasound Autofocusing
SPRINGER INTERNATIONAL PUBLISHING AG. 2023: 428-437
View details for DOI 10.1007/978-3-031-43999-5_41
View details for Web of Science ID 001109641000041
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Sound Speed Estimation for Distributed Aberration Correction in Laterally Varying Media
IEEE TRANSACTIONS ON COMPUTATIONAL IMAGING
2023; 9: 367-382
View details for DOI 10.1109/TCI.2023.3261507
View details for Web of Science ID 000972134300001
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Distributed Aberration Correction in Handheld Ultrasound Based on Tomographic Estimates of the Speed of Sound
SPIE-INT SOC OPTICAL ENGINEERING. 2023
View details for DOI 10.1117/12.2653935
View details for Web of Science ID 001011440800004
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Correction: Immunotheranostic microbubbles (iMBs) - a modular platform for dendritic cell vaccine delivery applied to breast cancer immunotherapy.
Journal of experimental & clinical cancer research : CR
2022; 41 (1): 357
View details for DOI 10.1186/s13046-022-02577-x
View details for PubMedID 36564801
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Correction: Facilitating islet transplantation using a three-step approach with mesenchymal stem cells, encapsulation, and pulsed focused ultrasound.
Stem cell research & therapy
2022; 13 (1): 526
View details for DOI 10.1186/s13287-022-03210-6
View details for PubMedID 36536426
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Separation of mainlobe and sidelobe contributions to B-mode ultrasound images based on the aperture spectrum.
Journal of medical imaging (Bellingham, Wash.)
2022; 9 (6): 067001
Abstract
Isolating the mainlobe and sidelobe contribution to the ultrasound image can improve imaging contrast by removing off-axis clutter. Previous work achieves this separation of mainlobe and sidelobe contributions based on the covariance of received signals. However, the formation of a covariance matrix at each imaging point can be computationally burdensome and memory intensive for real-time applications. Our work demonstrates that the mainlobe and sidelobe contributions to the ultrasound image can be isolated based on the receive aperture spectrum, greatly reducing computational and memory requirements.The separation of mainlobe and sidelobe contributions to the ultrasound image is shown in simulation, in vitro, and in vivo using the aperture spectrum method and multicovariate imaging of subresolution targets (MIST). Contrast, contrast-to-noise-ratio (CNR), and speckle signal-to-noise-ratio are used to compare the aperture spectrum approach with MIST and conventional delay-and-sum (DAS) beamforming.The aperture spectrum approach improves contrast by 1.9 to 6.4 dB beyond MIST and 8.9 to 13.5 dB beyond conventional DAS B-mode imaging. However, the aperture spectrum approach yields speckle texture similar to DAS. As a result, the aperture spectrum-based approach has less CNR than MIST but greater CNR than conventional DAS. The CPU implementation of the aperture spectrum-based approach is shown to reduce computation time by a factor of 9 and memory consumption by a factor of 128 for a 128-element transducer.The mainlobe contribution to the ultrasound image can be isolated based on the receive aperture spectrum, which greatly reduces the computational cost and memory requirement of this approach as compared with MIST.
View details for DOI 10.1117/1.JMI.9.6.067001
View details for PubMedID 36337381
View details for PubMedCentralID PMC9626368
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Immunotheranostic microbubbles (iMBs) - a modular platform for dendritic cell vaccine delivery applied to breast cancer immunotherapy.
Journal of experimental & clinical cancer research : CR
2022; 41 (1): 299
Abstract
BACKGROUND: Therapeutic strategies engaging the immune system against malignant cells have revolutionized the field of oncology. Proficiency of dendritic cells (DCs) for antigen presentation and immune response has spurred interest on DC-based vaccines for anti-cancer therapy. However, despite favorable safety profiles in patients, current DC-vaccines have not yet presented significant outcome due to technical barriers in active DC delivery, tumor progression, and immune dysfunction. To maximize the therapeutic response, we present here a unique cell-free DC-based vaccine capable of lymphoid organ targeting and eliciting T-cell-mediated anti-tumor effect.METHODS: We developed this novel immunotheranostic platform using plasma membranes derived from activated DCs incorporated into ultrasound contrast microbubbles (MBs), thereby offering real-time visualization of MBs' trafficking and homing in vivo. Human PBMC-derived DCs were cultured ex vivo for controlled maturation and activation using cell membrane antigens from breast cancer cells. Following DC membrane isolation, immunotheranostic microbubbles, called DC-iMBs, were formed for triple negative breast cancer treatment in a mouse model harboring a human reconstituted immune system.RESULTS: Our results demonstrated that DC-iMBs can accumulate in lymphoid organs and induce anti-tumor immune response, which significantly reduced tumor growth via apoptosis while increasing survival length of the treated animals. The phenotypic changes in immune cell populations upon DC-iMBs delivery further confirmed the T-cell-mediated anti-tumor effect.CONCLUSION: These early findings strongly support the potential of DC-iMBs as a novel immunotherapeutic cell-free vaccine for anti-cancer therapy.
View details for DOI 10.1186/s13046-022-02501-3
View details for PubMedID 36224614
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Adaptation of Range-Doppler Algorithm for Efficient Beamforming of Monostatic and Multistatic Ultrasound Signals.
IEEE transactions on ultrasonics, ferroelectrics, and frequency control
2022; PP
Abstract
Algorithmic changes that increase beamforming speed have become increasingly relevant to processing synthetic aperture (SA) ultrasound data. In particular, beamforming SA data in a spatio-temporal frequency domain using F-k (Stolt) migration has been shown to reduce beamforming time by up to two orders of magnitude compared to conventional delay-and-sum (DAS) beamforming, and it has been used in applications where large amounts of raw data make real-time frame rates difficult to attain, such as multistatic SA imaging and plane-wave Doppler imaging with large ensemble lengths. However, beamforming signals in a spatio-temporal Fourier space can require loading large blocks of data at once, making it memory intensive and less suited for parallel (i.e. multi-threaded) processing. As an alternative, we propose beamforming in a range-Doppler (RD) frequency domain using the range-Doppler algorithm (RDA) that has originally been developed for SA radar imaging. Through simulation and phantom experiments we show that RDA achieves similar lateral resolution and contrast compared to DAS and F-k migration. At the same time, higher axial sidelobes in RDA images can be reduced via (temporal) frequency binning. Like F-k migration, RDA significantly reduces the overall number of computations relative to DAS, and it achieves ten times lower processing time on a single CPU. Because RDA utilizes only a spatial Fourier Transform, it requires two times less memory than F-k migration to process the simulated multistatic data, and can be executed on as many as a thousand parallel threads (compared to eight parallel threads for F-k migration), making it more suitable for implementation on modern graphics processing units (GPUs). While RDA is not as parallelizable as DAS, it is expected to hold a significant speed advantage on devices with moderate parallel processing capabilities (up to several thousand cores), such as point-of-care and low-cost ultrasound devices.
View details for DOI 10.1109/TUFFC.2022.3205923
View details for PubMedID 36094975
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Comparative Study of Raw Ultrasound Data Representations in Deep Learning to Classify Hepatic Steatosis.
Ultrasound in medicine & biology
2022
Abstract
Adiposity accumulation in the liver is an early-stage indicator of non-alcoholic fatty liver disease. Analysis of ultrasound (US) backscatter echoes from liver parenchyma with deep learning (DL) may offer an affordable alternative for hepatic steatosis staging. The aim of this work was to compare DL classification scores for liver steatosis using different data representations constructed from raw US data. Steatosis in N = 31 patients with confirmed or suspected non-alcoholic fatty liver disease was stratified based on fat-fraction cutoff values using magnetic resonance imaging as a reference standard. US radiofrequency (RF) frames (raw data) and clinical B-mode images were acquired. Intermediate image formation stages were modeled from RF data. Power spectrum representations and phase representations were also calculated. Co-registered patches were used to independently train 1-, 2- and 3-D convolutional neural networks (CNNs), and classifications scores were compared with cross-validation. There were 67,800 patches available for 2-D/3-D classification and 1,830,600 patches for 1-D classification. The results were also compared with radiologist B-mode annotations and quantitative ultrasound (QUS) metrics. Patch classification scores (area under the receiver operating characteristic curve [AUROC]) revealed significant reductions along successive stages of the image formation process (p < 0.001). Patient AUROCs were 0.994 for RF data and 0.938 for clinical B-mode images. For all image formation stages, 2-D CNNs revealed higher patch and patient AUROCs than 1-D CNNs. CNNs trained with power spectrum representations converged faster than those trained with RF data. Phase information, which is usually discarded in the image formation process, provided a patient AUROC of 0.988. DL models trained with RF and power spectrum data (AUROC = 0.998) provided higher scores than conventional QUS metrics and multiparametric combinations thereof (AUROC = 0.986). Radiologist annotations indicated lower hepatic steatosis classification accuracies (Acc = 0.914) with respect to magnetic resonance imaging proton density fat fraction that DL models (Acc = 0.989). Access to raw ultrasound data combined with artificial intelligence techniques may offer superior opportunities for quantitative tissue diagnostics than conventional sonographic images.
View details for DOI 10.1016/j.ultrasmedbio.2022.05.031
View details for PubMedID 35914993
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Improving Transcranial Acoustic Targeting: The Limits of CT Based Velocity Estimates and The Role of MR.
IEEE transactions on ultrasonics, ferroelectrics, and frequency control
2022; PP
Abstract
Transcranial magnetic resonance (MR) guided focused ultrasound (tcMRgFUS) enables the non-invasive treatment of the deep brain. This capacity relies on the ability to focus acoustic energy through the in-tact skull, a feat that requires accurate estimates of the acoustic velocity in individual patient skulls. In current practice, these estimates are generated using a pre-treatment CT scan and then registered to an MR dataset on the day of the treatment. Treatment safety and efficacy can be improved by eliminating the need to register the CT data to the MR images and by improving the accuracy of acoustic velocity measurements. In this study we examine the capacity of MR to supplement or replace CT as a means of estimating velocity in the skull. We find that MR can predict velocity with less but comparable accuracy to CT. We then use micro CT imaging to better understand the limitations of Hounsfield Unit (HU) based estimates of velocity, demonstrating that the macrostructure of pores in the skull contributes to the acoustic velocity of the bone. We find evidence that detailed T2 measurements provide information about pore macrostructure similar to the information obtained with micro CT, offering a potential clinical mechanism for improving patient specific estimates of acoustic velocity in the human skull.
View details for DOI 10.1109/TUFFC.2022.3192224
View details for PubMedID 35853046
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Biomimetic nanobubbles for triple-negative breast cancer targeted ultrasound molecular imaging.
Journal of nanobiotechnology
2022; 20 (1): 267
Abstract
Triple-negative breast cancer (TNBC) is a highly heterogeneous breast cancer subtype with poor prognosis. Although anatomical imaging figures prominently for breast lesion screening, TNBC is often misdiagnosed, thus hindering early medical care. Ultrasound (US) molecular imaging using nanobubbles (NBs) capable of targeting tumor cells holds great promise for improved diagnosis and therapy. However, the lack of conventional biomarkers in TNBC impairs the development of current targeted agents. Here, we exploited the homotypic recognition of cancer cells to synthesize the first NBs based on TNBC cancer cell membrane (i.e., NBCCM) as a targeted diagnostic agent. We developed a microfluidic technology to synthesize NBCCM based on the self-assembly property of cell membranes in aqueous solutions. In vitro, optimal NBCCM had a hydrodynamic diameter of 683±162nm, showed long-lasting US contrast enhancements and homotypic affinity. In vivo, we demonstrated that NBCCM showed increased extravasation and retention in a TNBC mouse model compared to non-targeted NBs by US molecular imaging. Peak intensities and areas under the curves from time-intensity plots showed a significantly enhanced signal from NBCCM compared to non-targeted NBs (2.1-fold, P=0.004, and, 3.6-fold, P=0.0009, respectively). Immunofluorescence analysis further validated the presence of NBCCM in the tumor microenvironment. Circumventing the challenge for universal cancer biomarker identification, our approach could enable TNBC targeting regardless of tumor tissue heterogeneity, thus improving diagnosis and potentially gene/drug targeted delivery. Ultimately, our approach could be used to image many cancer types using biomimetic NBs prepared from their respective cancer cell membranes.
View details for DOI 10.1186/s12951-022-01484-9
View details for PubMedID 35689262
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Angular spectrum method for curvilinear arrays: Theory and application to Fourier beamforming.
JASA express letters
2022; 2 (5): 052001
Abstract
Fourier beamforming techniques for medical ultrasound imaging have largely been limited to linear transducer arrays. This work extends the angular spectrum method to curvilinear arrays and demonstrates a migration-based Fourier beamforming technique that has implications for sound speed estimation and distributed aberration correction for abdominal imaging applications. When compared to Field II simulations, the proposed angular spectrum method simulates the pressure field from a focused transmission to within 3.7% normalized root mean square error. The resulting Fourier beamforming technique is then compared to virtual source synthetic aperture using in vivo abdominal imaging examples where resolution and imaging quality improvements are observed.
View details for DOI 10.1121/10.0010536
View details for PubMedID 35601935
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Distributed Aberration Correction Techniques Based on Tomographic Sound Speed Estimates.
IEEE transactions on ultrasonics, ferroelectrics, and frequency control
2022; 69 (5): 1714-1726
Abstract
Phase aberration is widely considered a major source of image degradation in medical pulse-echo ultrasound. Traditionally, near-field phase aberration correction techniques are unable to account for distributed aberrations due to a spatially varying speed of sound in the medium, while most distributed aberration correction techniques require the use of point-like sources and are impractical for clinical applications where diffuse scattering is dominant. Here, we present two distributed aberration correction techniques that utilize sound speed estimates from a tomographic sound speed estimator that builds on our previous work with diffuse scattering in layered media. We first characterize the performance of our sound speed estimator and distributed aberration correction techniques in simulations where the scattering in the media is known a priori. Phantom and in vivo experiments further demonstrate the capabilities of the sound speed estimator and the aberration correction techniques. In phantom experiments, point target resolution improves from 0.58 to 0.26 and 0.27 mm, and lesion contrast improves from 17.7 to 23.5 and 25.9 dB, as a result of distributed aberration correction using the eikonal and wavefield correlation techniques, respectively.
View details for DOI 10.1109/TUFFC.2022.3162836
View details for PubMedID 35353699
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Cylindrical Transducer Array for Intravascular Shear Wave Elasticity Imaging: Preliminary Development.
IEEE transactions on ultrasonics, ferroelectrics, and frequency control
2022; 69 (3): 1077-1087
Abstract
We present an intravascular ultrasound (IVUS) transducer array designed to enable shear wave elasticity imaging (SWEI) of arteries for the detection and characterization of atherosclerotic soft plaques. Using a custom dicing fixture, we have fabricated single-element and axially-segmented array transducer prototypes from 4.6-Fr to 7.6-Fr piezoceramic tubes, respectively. Focused excitation of the array prototype at 4 MHz yielded a focal gain of 5* in intensity, for an estimated 60 mW/cm2 [Formula: see text] and 1.6-MPa negative peak pressure at 4.5-mm range in water. The single-element transducer generated a peak radial displacement of [Formula: see text] in a uniform elasticity phantom, with axial shear waves detectable by an external linear array probe up to 5 mm away from the excitation plane. In a vessel phantom with a soft inclusion, the array prototype generated peak displacements of 2.2 and [Formula: see text] in the soft inclusion and vessel wall regions, respectively. A SWEI image of the vessel phantom was reconstructed, with measured shear wave speed (SWS) of 1.66 ± 0.91 m/s and 0.97 ± 0.59 m/s for the soft inclusion and vessel wall regions, respectively. The array prototype was also used to obtain a SWEI image of an ex vivo porcine artery, with a mean SWS of 3.97 ± 1.12 m/s. These results suggest that a cylindrical intravascular ultrasound (IVUS) transducer array could be made capable of SWEI for atherosclerotic plaque detection in coronary arteries.
View details for DOI 10.1109/TUFFC.2022.3140976
View details for PubMedID 34990357
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Ultrasound Lesion Detectability as a Distance Between Probability Measures
IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL
2022; 69 (2): 732-743
Abstract
Lesion detectability (LD) quantifies how easily a lesion or target can be distinguished from the background. LD is commonly used to assess the performance of new ultrasound imaging methods. The contrast-to-noise ratio (CNR) is the most popular measure of LD; however, recent work has exposed its vulnerability to manipulations of dynamic range. The generalized CNR (gCNR) has been proposed as a robust histogram-based alternative that is invariant to such manipulations. Here, we identify key shortcomings of CNR and strengths of gCNR as LD metrics for modern beamformers. Using the measure theory, we pose LD as a distance between empirical probability measures (i.e., histograms) and prove that: 1) gCNR is equal to the total variation distance between probability measures and 2) gCNR is one minus the error rate of the ideal observer. We then explore several consequences of measure-theoretic LD in simulation studies. We find that histogram distances depend on bin selection that LD must be considered in the context of spatial resolution and that many histogram distances are invariant under measure-preserving isomorphisms of the sample space (e.g., dynamic range transformations). Finally, we provide a mathematical interpretation for why quantitative values such as contrast ratio (CR), CNR, and signal-to-noise ratio should not be compared between images with different dynamic ranges or underlying units and demonstrate how histogram matching can be used to reenable such quantitative comparisons.
View details for DOI 10.1109/TUFFC.2021.3138058
View details for Web of Science ID 000748372800030
View details for PubMedID 34941507
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Local Sound Speed Estimation for Pulse-Echo Ultrasound in Layered Media
IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL
2022; 69 (2): 500-511
Abstract
Our previous methodology in local sound speed estimation utilized time delays measured by the cross correlation of delayed full-synthetic aperture channel data to estimate the average speed of sound. However, focal distortions in this methodology lead to biased estimates of the average speed of sound, which, in turn, leads to biased estimates of the local speed of sound. Here, we demonstrate the bias in the previous methodology and introduce a coherence-based average sound speed estimator that eliminates this bias and is computationally much cheaper in practice. Because this coherence-based approach estimates the average sound speed in the medium over an equally spaced grid in depth rather than time, we derive a refined model that relates the local and average speeds of sound as a function of depth in layered media. A fast, closed-form inversion of this model yields highly accurate local sound speed estimates. The root-mean-square (rms) error of local sound speed reconstruction in simulations of two-layer media is 4.6 and 2.5 m/s at 4 and 8 MHz, respectively. This work examines the impact of frequency, f -number, aberration, and reverberation on sound speed estimation. Phantom and in vivo experiments in rats further validate the coherence-based sound speed estimator.
View details for DOI 10.1109/TUFFC.2021.3124479
View details for Web of Science ID 000748372800009
View details for PubMedID 34723801
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Separation of Mainlobe and Sidelobe Contributions to B-Mode Ultrasound Images Based on the Aperture Spectrum
SPIE-INT SOC OPTICAL ENGINEERING. 2022
View details for DOI 10.1117/12.2605712
View details for Web of Science ID 000836325500004
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Speed of Sound Estimation at Multiple Angles from Common Midpoint Gathers of Non-Beamformed Data
IEEE. 2022
View details for DOI 10.1109/IUS54386.2022.9958779
View details for Web of Science ID 000896080400519
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Direct Speed of Sound Reconstruction from Full-Synthetic Aperture Data with Dual Regularization
IEEE. 2022
View details for DOI 10.1109/IUS54386.2022.9958718
View details for Web of Science ID 000896080400502
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Speed of Sound Imaging with Curvilinear Probes from Full-Synthetic Aperture Data
IEEE. 2022
View details for DOI 10.1109/IUS54386.2022.9957632
View details for Web of Science ID 000896080400171
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Ultrasound-Guided Microbubble-Mediated Locoregional Delivery of Multiple MicroRNAs Improves Chemotherapy in Hepatocellular Carcinoma.
Nanotheranostics
1800; 6 (1): 62-78
Abstract
Rationale: To assess treatment effects of 4 complementary miRNAs (miRNA-100/miRNA-122/antimiRNA-10b/antimiRNA-21) encapsulated in a biodegradable PLGA-PEG nanoparticle, administered by an ultrasound-guided microbubble-mediated targeted delivery (UGMMTD) approach in mouse models of hepatocellular carcinoma (HCC). Methods: In vitro apoptotic index was measured in HepG2 and Hepa1-6 HCC cells treated with various combinations of the 4 miRNAs with doxorubicin. Three promising combinations were further tested in vivo by using UGMMTD. 63 HepG2 xenografts in mice were randomized into: group 1, miRNA-122/antimiRNA-10b/antimiRNA-21/US/doxorubicin; group 2, miRNA-100/miRNA-122/antimiRNA-10b/antimiRNA-21/US/doxorubicin; group 3, miRNA-100/miRNA-122/antimiRNA-10b/US/doxorubicin; group 4, miRNA-122/anitmiRNA-10b/antimiRNA-21/doxorubicin; group 5, miRNA-100/miRNA-122/antimiRNA-10b/antimiRNA-21/doxorubicin; group 6, miRNA-100/miRNA-122/antimiRNA-10b/doxorubicin; group 7, doxorubicin only treatment; and group 8, without any treatment. Tumor volumes were measured through 18 days. H&E staining, TUNEL assay, and qRT-PCR quantification for delivered miRNAs were performed. Results: In vivo results showed that UGMMTD of miRNAs with doxorubicin in groups 1-3 significantly (P<0.05) delayed tumor growth compared to control without any treatment, and doxorubicin only from day 7 to 18. On qRT-PCR, levels of delivered miRNAs were significantly (P<0.05) higher in groups 1-3 upon UGMMTD treatment compared to controls. TUNEL assay showed that upon UGMMTD, significantly higher levels of apoptotic cell populations were observed in groups 1-3 compared to controls. Toxicity was not observed in various organs of different groups. Conclusions: UGMMTD of miRNA-100/miRNA-122/antimiRNA-10b/antimiRNA-21 combination improved therapeutic outcome of doxorubicin chemotherapy in mouse models of HCC by substantial inhibition of tumor growth and significant increase in apoptotic index.
View details for DOI 10.7150/ntno.63320
View details for PubMedID 34976581
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APPLYING THE CHIRP SCALING ALGORITHM FOR EFFICIENT BEAMFORMING OF ULTRASOUND IMAGES
IEEE. 2022: 3011-3014
View details for DOI 10.1109/IGARSS46834.2022.9883630
View details for Web of Science ID 000920916603051
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Real-Time In Vivo Imaging of Human Liver Vasculature Using Coherent Flow Power Doppler: A Pilot Clinical Study
IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL
2021; 68 (9): 3027-3041
Abstract
Power Doppler (PD) is a commonly used technique for flow detection and vessel visualization in radiology clinics. Despite its broad set of applications, PD suffers from multiple noise sources and artifacts, such as thermal noise, clutter, and flash artifacts. In addition, a tradeoff exists between acquisition time and Doppler image quality. These limit the ability of clinical PD imaging in deep-lying and small-vessel detection and visualization, particularly among patients with high body mass indices (BMIs). To improve the Doppler vessel detection, we have previously proposed coherent flow PD (CFPD) imaging and demonstrated its performance on porcine vasculature. In this article, we report on a pilot clinical study of CFPD imaging on healthy human volunteers and patients with high BMI to assess the clinical feasibility of the technique in liver imaging. In this study, we built a real-time CFPD imaging system using a graphical processing unit (GPU)-based software beamformer and a CFPD processing module. Using the real-time CFPD imaging system, the liver vasculature of 15 healthy volunteers with normal BMI below 25 and 15 patients with BMI greater than 25 was imaged. Both PD and CFPD image streams were produced simultaneously. The generalized contrast-to-noise ratio (gCNR) of the PD and CFPD images was measured to provide the quantitative evaluation of image quality and vessel detectability. Comparison of PD and CFPD image shows that gCNR is improved by 35% in healthy volunteers and 28% in high BMI patients with CFPD compared to PD. Example images are provided to show that the improvement in the Doppler image gCNR leads to greater detection of small vessels in the liver. In addition, we show that CFPD can suppress in vivo reverberation clutter in clinical imaging.
View details for DOI 10.1109/TUFFC.2021.3081438
View details for Web of Science ID 000690441000022
View details for PubMedID 34003748
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Passive Cavitation Mapping by Cavitation Source Localization From Aperture-Domain Signals-Part I: Theory and Validation Through Simulations
IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL
2021; 68 (4): 1184–97
Abstract
Passive cavitation mapping (PCM) algorithms for diagnostic ultrasound arrays based on time exposure acoustics (TEA) exhibit poor axial resolution, which is in part due to the diffraction-limited point spread function of the imaging system and poor rejection by the delay-and-sum beamformer. In this article, we adapt a method for speed of sound estimation to be utilized as a cavitation source localization (CSL) approach. This method utilizes a hyperbolic fit to the arrival times of the cavitation signals in the aperture domain, and the coefficients of the fit are related to the position of the cavitation source. Wavefronts exhibiting poor fit to the hyperbolic function are corrected to yield improved source localization. We demonstrate through simulations that this method is capable of accurate estimation of the origin of coherent spherical waves radiating from cavitation/point sources. The average localization error from simulated microbubble sources was 0.12 ± 0.12mm ( 0.15 ± 0.14λ0 for a 1.78-MHz transmit frequency). In simulations of two simultaneous cavitation sources, the proposed technique had an average localization error of 0.2mm ( 0.23λ0 ), whereas conventional TEA had an average localization error of 0.81mm ( 0.97λ0 ). The reconstructed PCM-CSL image showed a significant improvement in resolution compared with the PCM-TEA approach.
View details for DOI 10.1109/TUFFC.2020.3035696
View details for Web of Science ID 000634502600023
View details for PubMedID 33141665
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Ultrasound Triggered Co-Delivery of Therapeutic MicroRNAs and a Triple Suicide Gene Therapy Vector by Using Biocompatible Polymer Nanoparticles for Improved Cancer Therapy in Mouse Models
ADVANCED THERAPEUTICS
2021
View details for DOI 10.1002/adtp.202000197
View details for Web of Science ID 000625355200001
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Blood Flow Imaging in the Neonatal Brain Using Angular Coherence Power Doppler
IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL
2021; 68 (1): 92–106
Abstract
Using ultrasound to image small vessels in the neonatal brain can be difficult in the presence of strong clutter from the surrounding tissue and with a neonate motion during the scan. We propose a coherence-based beamforming method, namely the short-lag angular coherence (SLAC) beamforming that suppresses incoherent noise and motion artifacts in Ultrafast data, and we demonstrate its applicability to improve detection of blood flow in the neonatal brain. Instead of estimating spatial coherence across the receive elements, SLAC utilizes the principle of acoustic reciprocity to estimate angular coherence from the beamsummed signals from different plane-wave transmits, which makes it computationally efficient and amenable to advanced beamforming techniques, such as f-k migration. The SLAC images of a simulated speckle phantom show similar edge resolution and texture size as the matching B-mode images, and reduced random noise in the background. We apply SLAC power Doppler (PD) to free-hand imaging of neonatal brain vasculature with long Doppler ensembles and show that: 1) it improves visualization of small vessels in the cortex compared to conventional PD and 2) it can be used for tracking of blood flow in the brain over time, meaning it could potentially improve the quality of free-hand functional ultrasound.
View details for DOI 10.1109/TUFFC.2020.3010341
View details for Web of Science ID 000602706700010
View details for PubMedID 32746214
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Real-Time Universal Synthetic Transmit Aperture Beamforming with Retrospective Encoding for Conventional Ultrasound Sequences (REFoCUS)
IEEE. 2021
View details for DOI 10.1109/IUS52206.2021.9593648
View details for Web of Science ID 000832095000313
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Upstream Machine Learning in Radiology.
Radiologic clinics of North America
2021; 59 (6): 967-985
Abstract
Machine learning (ML) and Artificial intelligence (AI) has the potential to dramatically improve radiology practice at multiple stages of the imaging pipeline. Most of the attention has been garnered by applications focused on improving the end of the pipeline: image interpretation. However, this article reviews how AI/ML can be applied to improve upstream components of the imaging pipeline, including exam modality selection, hardware design, exam protocol selection, data acquisition, image reconstruction, and image processing. A breadth of applications and their potential for impact is shown across multiple imaging modalities, including ultrasound, computed tomography, and MRI.
View details for DOI 10.1016/j.rcl.2021.07.009
View details for PubMedID 34689881
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Superiorized Photo-Acoustic Non-NEgative Reconstruction (SPANNER) for Clinical Photoacoustic Imaging.
IEEE transactions on medical imaging
2021; PP
Abstract
Photoacoustic (PA) imaging can revolutionize medical ultrasound by augmenting it with molecular information. However, clinical translation of PA imaging remains a challenge due to the limited viewing angles and imaging depth. Described here is a new robust algorithm called Superiorized Photo-Acoustic Non-NEgative Reconstruction (SPANNER), designed to reconstruct PA images in real-time and to address the artifacts associated with limited viewing angles and imaging depth. The method utilizes precise forward modeling of the PA propagation and reception of signals while accounting for the effects of acoustic absorption, element size, shape, and sensitivity, as well as the transducer's impulse response and directivity pattern. A fast superiorized conjugate gradient algorithm is used for inversion. SPANNER is compared to three reconstruction algorithms: delay-and-sum (DAS), universal back-projection (UBP), and model-based reconstruction (MBR). All four algorithms are applied to both simulations and experimental data acquired from tissue-mimicking phantoms, ex vivo tissue samples, and in vivo imaging of the prostates in patients. Simulations and phantom experiments highlight the ability of SPANNER to improve contrast to background ratio by up to 20 dB compared to all other algorithms, as well as a 3-fold increase in axial resolution compared to DAS and UBP. Applying SPANNER on contrast-enhanced PA images acquired from prostate cancer patients yielded a statistically significant difference before and after contrast agent administration, while the other three image reconstruction methods did not, thus highlighting SPANNER's performance in differentiating intrinsic from extrinsic PA signals and its ability to quantify PA signals from the contrast agent more accurately.
View details for DOI 10.1109/TMI.2021.3068181
View details for PubMedID 33755561
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Acoustically Driven Microbubbles Enable Targeted Delivery of microRNA-Loaded Nanoparticles to Spontaneous Hepatocellular Neoplasia in Canines.
Advanced therapeutics
2020; 3 (12)
Abstract
Spatially localized microbubble cavitation by ultrasound offers an effective means of altering permeability of natural barriers (i.e. blood vessel and cell membrane) in favor of nanomaterials accumulation in the target site. In this study, a clinically relevant, minimally invasive ultrasound guided therapeutic approach is investigated for targeted delivery of anticancer microRNA loaded PLGA-b-PEG nanoparticles to spontaneous hepatocellular neoplasia in a canine model. Quantitative assessment of the delivered microRNAs revealed prominent and consistent increase in miRNAs levels (1.5-to 2.3-fold increase (p<0.001)) in ultrasound treated tumor regions compared to untreated control regions. Immunohistology of ultrasound treated tumor tissue presented a clear evidence for higher amount of nanoparticles extravasation from the blood vessels. A distinct pattern of cytokine expression supporting CD8+ T cells mediated "cold-to-hot" tumor transition was evident in all patients. On the outset, proposed platform can enhance delivery of miRNA-loaded nanoparticles to deep seated tumors in large animals to enhance chemotherapy.
View details for DOI 10.1002/adtp.202000120
View details for PubMedID 33415184
View details for PubMedCentralID PMC7784952
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Acoustically Driven Microbubbles Enable Targeted Delivery of microRNA-Loaded Nanoparticles to Spontaneous Hepatocellular Neoplasia in Canines
ADVANCED THERAPEUTICS
2020
View details for DOI 10.1002/adtp.202000120
View details for Web of Science ID 000592655800001
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Therapeutic Ultrasound Parameter Optimization for Drug Delivery Applied to a Murine Model of Hepatocellular Carcinoma.
Ultrasound in medicine & biology
2020
Abstract
Ultrasound and microbubble (USMB)-mediated drug delivery is a valuable tool for increasing the efficiency of the delivery of therapeutic agents to cancer while maintaining low systemic toxicity. Typically, selection of USMB drug delivery parameters used in current research settings are either based on previous studies described in the literature or optimized using tissue-mimicking phantoms. However, phantoms rarely mimic in vivo tumor environments, and the selection of parameters should be based on the application or experiment. In the following study, we optimized the therapeutic parameters of the ultrasound drug delivery system to achieve the most efficient in vivo drug delivery using fluorescent semiconducting polymer nanoparticles as a model nanocarrier. We illustrate that voltage, pulse repetition frequency and treatment time (i.e., number of ultrasound pulses per therapy area) delivered to the tumor can successfully be optimized in vivo to ensure effective delivery of the semiconducting polymer nanoparticles to models of hepatocellular carcinoma. The optimal in vivo parameters for USMB drug delivery in this study were 70 V (peak negative pressure = 3.4 MPa, mechanical index = 1.22), 1-Hz pulse repetition frequency and 100-s therapy time. USMB-mediated drug delivery using in vivo optimized ultrasound parameters caused an up to 2.2-fold (p < 0.01) increase in drug delivery to solid tumors compared with that using phantom-optimized ultrasound parameters.
View details for DOI 10.1016/j.ultrasmedbio.2020.09.009
View details for PubMedID 33153807
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Extending Retrospective Encoding for Robust Recovery of the Multistatic Data Set
IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL
2020; 67 (5): 943–56
Abstract
Robust recovery of multistatic synthetic aperture data from conventional ultrasound sequences can enable complete transmit-and-receive focusing at all points in the field of view without the drawbacks of virtual-source synthetic aperture and further enables more advanced imaging applications, such as backscatter coherence, sound speed estimation, and phase aberration correction. Recovery of the multistatic data set has previously been demonstrated on a steered transmit sequence for phased arrays using an adjoint-based method. We introduce two methods to improve the accuracy of the multistatic data set. We first modify the original technique used for steered transmit sequences by applying a ramp filter to compensate for the nonuniform frequency scaling introduced by the adjoint-based method. Then, we present a regularized inversion technique that allows additional aperture specification and is intended to work for both steered transmit and walking aperture sequences. The ramp-filtered adjoint and regularized inversion techniques, respectively, improve the correlation of the recovered signal with the ground truth from 0.9404 to 0.9774 and 0.9894 in steered transmit sequences and 0.4610 to 0.4733 and 0.9936 in walking aperture sequences.
View details for DOI 10.1109/TUFFC.2019.2961875
View details for Web of Science ID 000531321300006
View details for PubMedID 31870983
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The role of ultrasound in enhancing mesenchymal stromal cell-based therapies.
Stem cells translational medicine
2020
Abstract
Mesenchymal stromal cells (MSCs) have been a popular platform for cell-based therapy in regenerative medicine due to their propensity to home to damaged tissue and act as a repository of regenerative molecules that can promote tissue repair and exert immunomodulatory effects. Accordingly, a great deal of research has gone into optimizing MSC homing and increasing their secretion of therapeutic molecules. A variety of methods have been used to these ends, but one emerging technique gaining significant interest is the use of ultrasound. Sound waves exert mechanical pressure on cells, activating mechano-transduction pathways and altering gene expression. Ultrasound has been applied both to cultured MSCs to modulate self-renewal and differentiation, and to tissues-of-interest to make them a more attractive target for MSC homing. Here, we review the various applications of ultrasound to MSC-based therapies, including low-intensity pulsed ultrasound, pulsed focused ultrasound, and extracorporeal shockwave therapy, as well as the use of adjunctive therapies such as microbubbles. At a molecular level, it seems that ultrasound transiently generates a local gradient of cytokines, growth factors, and adhesion molecules that facilitate MSC homing. However, the molecular mechanisms underlying these methods are far from fully elucidated and may differ depending on the ultrasound parameters. We thus put forth minimal criteria for ultrasound parameter reporting, in order to ensure reproducibility of studies in the field. A deeper understanding of these mechanisms will enhance our ability to optimize this promising therapy to assist MSC-based approaches in regenerative medicine.
View details for DOI 10.1002/sctm.19-0391
View details for PubMedID 32157802
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Effects of motion on correlations of pulse-echo ultrasound signals: Applications in delay estimation and aperture coherence.
The Journal of the Acoustical Society of America
2020; 147 (3): 1323
Abstract
The correlation between two pulse-echo ultrasound signals is used to achieve a wide range of ultrasound techniques, such as Doppler imaging and elastography. Prior theoretical descriptions of pulse-echo correlations were restricted to stationary scatterers. Here, a theory for the correlation of moving scatterers is presented. An expression is derived for the correlation of two pulse-echo signals with arbitrary transmit and receive apertures acquired from a medium undergoing bulk motion using the Fresnel approximation. The derivation is shown to coincide with prior derivations in the absence of scatterer motion. The theory was compared against simulations in applications of phase-shift estimation and aperture coherence measurements. The phase-shift estimate and jitter were accurately predicted under axial and transverse motion for focused transmit apertures and for sequential and interleaved synthetic transmit apertures. The theory also accurately predicted how motion affects the correlation coefficient between receive aperture elements for a synthetic transmit aperture. The presented theory provides a framework for analyzing the correlations of arbitrary pulse-echo configurations for applications in which scatterer motion is expected.
View details for DOI 10.1121/10.0000809
View details for PubMedID 32237854
View details for PubMedCentralID PMC7051867
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Effects of motion on correlations of pulse-echo ultrasound signals: Applications in delay estimation and aperture coherence
JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA
2020; 147 (3): 1323–32
View details for DOI 10.1121/10.0000809
View details for Web of Science ID 000519550900001
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Ultrasound and microbubble mediated therapeutic delivery: Underlying mechanisms and future outlook.
Journal of controlled release : official journal of the Controlled Release Society
2020
Abstract
Beyond the emerging field of oncological ultrasound molecular imaging, the recent significant advancements in ultrasound and contrast agent technology have paved the way for therapeutic ultrasound mediated microbubble oscillation and has shown that this approach is capable of increasing the permeability of microvessel walls while also initiating enhanced extravasation and drug delivery into target tissues. In addition, a large number of preclinical studies have demonstrated that ultrasound alone or combined with microbubbles can efficiently increase cell membrane permeability resulting in enhanced tissue distribution and intracellular drug delivery of molecules, nanoparticles, and other therapeutic agents. The mechanism behind the enhanced permeability is the temporary creation of pores in cell membranes through a phenomenon called sonoporation by high-intensity ultrasound and microbubbles or cavitation agents. At low ultrasound intensities (0.3-3 W/cm2), sonoporation may be caused by microbubbles oscillating in a stable motion, also known as stable cavitation. In contrast, at higher ultrasound intensities (greater than 3 W/cm2), sonoporation usually occurs through inertial cavitation that accompanies explosive growth and collapse of the microbubbles. Sonoporation has been shown to be a highly effective method to improve drug uptake through microbubble potentiated enhancement of microvascular permeability. In this review, the therapeutic strategy of using ultrasound for improved drug delivery are summarized with the special focus on cancer therapy. Additionally, we discuss the progress, challenges, and future of ultrasound-mediated drug delivery towards clinical translation.
View details for DOI 10.1016/j.jconrel.2020.06.008
View details for PubMedID 32554041
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Acoustic Attenuation: Multifrequency Measurement and Relationship To CT and MR Imaging.
IEEE transactions on ultrasonics, ferroelectrics, and frequency control
2020; PP
Abstract
Transcranial magnetic resonance guided focused ultrasound (tcMRgFUS) is gaining significant acceptance as a non-invasive treatment for motion disorders and shows promise for novel applications such as blood brain barrier opening for tumor treatment. A typical procedure relies on CT derived acoustic property maps to simulate the transfer of ultrasound through the skull. Accurate estimates of the acoustic attenuation in the skull are essential to accurate simulations, but there is no consensus about how attenuation should be estimated from CT images and there is interest in exploring MR as a predictor of attenuation in the skull. In this study we measure the acoustic attenuation at 0.5, 1, and 2.25 MHz in 89 samples taken from two ex-vivo human skulls. CT scans acquired with a variety of x-ray energies, reconstruction kernels, and reconstruction algorithms and MR images acquired with ultra short and zero echo time sequences are used to estimate the average Hounsfield unit value, MR magnitude, and T2* value in each sample. The measurements are used to develop a model of attenuation as a function of frequency and each individual imaging parameter.
View details for DOI 10.1109/TUFFC.2020.3039743
View details for PubMedID 33226938
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Medical Pulse-Echo Ultrasound Imaging Based on the Cross-Correlation of Transmitted and Backpropagated-Receive Wavefields
IEEE. 2020
View details for Web of Science ID 000635688900022
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Application of Common Midpoint Gathers to Medical Pulse-Echo Ultrasound for Optimal Coherence and Improved Sound Speed Estimation in Layered Media
IEEE. 2020
View details for Web of Science ID 000635688900068
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Anisotropic regularization of ultrasound pulse-echo tomography for reconstruction of speed-of-sound and tissue heterogeneity through abdominal layers.
IEEE. 2020
View details for Web of Science ID 000635688900265
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Lung ultrasound for point-of-care COVID-19 pneumonia stratification: computer-aided diagnostics in a smartphone. First experiences classifying semiology from public datasets.
IEEE. 2020
View details for Web of Science ID 000635688900409
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Application of a Range-Doppler Algorithm to Frequency-Domain Beamforming of Ultrasound Signals
IEEE. 2020
View details for Web of Science ID 000635688900113
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Learning steatosis staging with two-dimensional Convolutional Neural Networks: comparison of accuracy of clinical B-mode with a co-registered spectrogram representation of RF Data
IEEE. 2020
View details for Web of Science ID 000635688900031
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Multi-parametric Ultrasound Tissue Characterization (MUTC) as a surrogate to Magnetic Resonance Imaging (MRI) for Non-Alcoholic Fatty Liver Disease (NAFLD) characterization.
IEEE. 2020
View details for Web of Science ID 000635688900497
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Human Placental Vasculature Imaging Using Long Ensemble Angular-coherence-based Doppler
IEEE. 2020
View details for Web of Science ID 000635688900338
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The Paracrine Function of Mesenchymal Stem Cells in Response to Pulsed Focused Ultrasound
CELL TRANSPLANTATION
2020; 29: 963689720965478
Abstract
We studied the paracrine function of mesenchymal stem cells (MSCs) derived from various sources in response to pulsed focused ultrasound (pFUS). Human adipose tissue (AD), bone marrow (BM), and umbilical cord (UC) derived MSCs were exposed to pFUS at two intensities: 0.45 W/cm2 ISATA (310 kPa PNP) and 1.3 W/cm2 ISATA (540 kPa PNP). Following pFUS, the viability and proliferation of MSCs were assessed using a hemocytometer and confocal microscopy, and their secreted cytokine profile determined using a multiplex ELISA. Our findings showed that pFUS can stimulate the production of immunomodulatory, anti-inflammatory, and angiogenic cytokines from MSCs which was dependent on both the source of MSC being studied and the acoustic intensity employed. These important findings set the foundation for additional mechanistic and validation studies using this novel noninvasive and clinically translatable technology for modulating MSC biology.
View details for DOI 10.1177/0963689720965478
View details for Web of Science ID 000606584100044
View details for PubMedID 33028105
View details for PubMedCentralID PMC7784560
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Sound Speed Estimation in Layered Media Using the Angular Coherence of Plane Waves
SPIE-INT SOC OPTICAL ENGINEERING. 2020
View details for DOI 10.1117/12.2548878
View details for Web of Science ID 000558363700011
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Facilitating islet transplantation using a three-step approach with mesenchymal stem cells, encapsulation, and pulsed focused ultrasound.
Stem cell research & therapy
2020; 11 (1): 405
Abstract
The aim of this study was to examine the effect of a three-step approach that utilizes the application of adipose tissue-derived mesenchymal stem cells (AD-MSCs), encapsulation, and pulsed focused ultrasound (pFUS) to help the engraftment and function of transplanted islets.In step 1, islets were co-cultured with AD-MSCs to form a coating of AD-MSCs on islets: here, AD-MSCs had a cytoprotective effect on islets; in step 2, islets coated with AD-MSCs were conformally encapsulated in a thin layer of alginate using a co-axial air-flow method: here, the capsule enabled AD-MSCs to be in close proximity to islets; in step 3, encapsulated islets coated with AD-MSCs were treated with pFUS: here, pFUS enhanced the secretion of insulin from islets as well as stimulated the cytoprotective effect of AD-MSCs.Our approach was shown to prevent islet death and preserve islet functionality in vitro. When 175 syngeneic encapsulated islets coated with AD-MSCs were transplanted beneath the kidney capsule of diabetic mice, and then followed every 3 days with pFUS treatment until day 12 post-transplantation, we saw a significant improvement in islet function with diabetic animals re-establishing glycemic control over the course of our study (i.e., 30 days). In addition, our approach was able to enhance islet engraftment by facilitating their revascularization and reducing inflammation.This study demonstrates that our clinically translatable three-step approach is able to improve the function and viability of transplanted islets.
View details for DOI 10.1186/s13287-020-01897-z
View details for PubMedID 32948247
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Improving the Function and Engraftment of Transplanted Pancreatic Islets Using Pulsed Focused Ultrasound Therapy.
Scientific reports
2019; 9 (1): 13416
Abstract
This study demonstrates that pulsed focused ultrasound (pFUS) therapy can non-invasively enhance the function and engraftment of pancreatic islets following transplantation. In vitro, we show that islets treated with pFUS at low (peak negative pressure (PNP): 106kPa, spatial peak temporal peak intensity (Isptp): 0.71W/cm2), medium (PNP: 150kPa, Isptp: 1.43W/cm2) or high (PNP: 212kPa, Isptp: 2.86W/cm2) acoustic intensities were stimulated resulting in an increase in their function (i.e. insulin secretion at low-intensity: 1.15±0.17, medium-intensity: 2.02±0.25, and high-intensity: 2.54±0.38 fold increase when compared to control untreated islets; P<0.05). Furthermore, we have shown that this improvement in islet function is a result of pFUS increasing the intracellular concentration of calcium (Ca2+) within islets which was also linked to pFUS increasing the resting membrane potential (Vm) of islets. Following syngeneic renal sub-capsule islet transplantation in C57/B6 mice, pFUS (PNP: 2.9MPa, Isptp: 895W/cm2) improved the function of transplanted islets with diabetic animals rapidly re-establishing glycemic control. In addition, pFUS was able to enhance the engraftment by facilitating islet revascularization and reducing inflammation. Given a significant number of islets are lost immediately following transplantation, pFUS has the potential to be used in humans as a novel non-invasive therapy to facilitate islet function and engraftment, thereby improving the outcome of diabetic patients undergoing islet transplantation.
View details for DOI 10.1038/s41598-019-49933-0
View details for PubMedID 31527773
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Ultrasound/microbubble-mediated targeted delivery of anticancer microRNA-loaded nanoparticles to deep tissues in pigs.
Journal of controlled release : official journal of the Controlled Release Society
2019
Abstract
In this study, we designed and validated a platform for ultrasound and microbubble-mediated delivery of FDA-approved pegylated poly lactic-co-glycolic acid (PLGA) nanoparticles loaded with anticancer microRNAs (miRNAs) to deep tissues in a pig model. Small RNAs have been shown to reprogram tumor cells and sensitize them to clinically used chemotherapy. To overcome their short intravascular circulation half-life and achieve controlled and sustained release into tumor cells, anticancer miRNAs need to be encapsulated into nanocarriers. Focused ultrasound combined with gas-filled microbubbles provides a noninvasive way to improve the permeability of tumor vasculature and increase the delivery efficiency of drug-loaded particles. A single handheld, curvilinear ultrasound array was used in this study for image-guided therapy with clinical-grade SonoVue contrast agent. First, we validated the platform on phantoms to optimize the microbubble cavitation dose based on acoustic parameters, including peak negative pressure, pulse length, and pulse repetition frequency. We then tested the system in vivo by delivering PLGA nanoparticles co-loaded with antisense-miRNA-21 and antisense-miRNA-10b to pig liver and kidney. Enhanced miRNA delivery was observed (1.9- to 3.7-fold increase) as a result of the ultrasound treatment compared to untreated control regions. Additionally, we used highly fluorescent semiconducting polymer nanoparticles to visually assess nanoparticle extravasation. Fluorescent microscopy suggested the presence of nanoparticles in the extravascular compartment. Hematoxylin and eosin staining of treated tissues did not reveal tissue damage. The results presented in this manuscript suggest that the proposed platform may be used to safely and noninvasively enhance the delivery of miRNA-loaded nanoparticles to target regions in deep organs in large animal models.
View details for DOI 10.1016/j.jconrel.2019.07.024
View details for PubMedID 31326463
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Special Issue on Pilot Clinical Translation of New Medical Ultrasound Methodologies
IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL
2019; 66 (3): 423–24
View details for DOI 10.1109/TUFFC.2019.2902085
View details for Web of Science ID 000461335000001
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Improved Visualization in Difficult-to-Image Stress Echocardiography Patients Using Real-Time Harmonic Spatial Coherence Imaging
IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL
2019; 66 (3): 433–41
Abstract
Stress echocardiography is used to detect myocardial ischemia by evaluating cardiovascular function both at rest and at elevated heart rates. Stress echocardiography requires excellent visualization of the left ventricle (LV) throughout the cardiac cycle. However, LV endocardial border visualization is often negatively impacted by high levels of clutter associated with patient obesity, which has risen dramatically worldwide in recent decades. Short-lag spatial coherence (SLSC) imaging has demonstrated reduced clutter in several applications. In this work, a computationally efficient formulation of SLSC was implemented into an object-oriented graphics processing unit-based software beamformer, enabling real-time (>30 frames per second) SLSC echocardiography on a research ultrasound scanner. The system was then used to image 15 difficult-to-image stress echocardiography patients in a comparison study of tissue harmonic imaging (THI) and harmonic spatial coherence imaging (HSCI). Video clips of four standard stress echocardiography views acquired with either THI or HSCI were provided in random shuffled order to three experienced readers. Each reader rated the visibility of 17 LV segments as "invisible," "suboptimally visualized," or "well visualized," with the first two categories indicating a need for contrast agent. In a symmetry test unadjusted for patientwise clustering, HSCI demonstrated a clear superiority over THI ( ). When measured on a per-patient basis, the median total score significantly favored HSCI with . When collapsing the ratings to a two-level scale ("needs contrast" versus "well visualized"), HSCI once again showed an overall superiority over THI, with by McNemar test adjusted for clustering.
View details for DOI 10.1109/TUFFC.2018.2885777
View details for Web of Science ID 000461335000003
View details for PubMedID 30530322
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Unsupervised clustering method to convert high-resolution magnetic resonance volumes to three-dimensional acoustic models for full-wave ultrasound simulations.
Journal of medical imaging (Bellingham, Wash.)
2019; 6 (3): 037001
Abstract
Simulations of acoustic wave propagation, including both the forward and the backward propagations of the wave (also known as full-wave simulations), are increasingly utilized in ultrasound imaging due to their ability to more accurately model important acoustic phenomena. Realistic anatomic models, particularly those of the abdominal wall, are needed to take full advantage of the capabilities of these simulation tools. We describe a method for converting fat-water-separated magnetic resonance imaging (MRI) volumes to anatomical models for ultrasound simulations. These acoustic models are used to map acoustic imaging parameters, such as speed of sound and density, to grid points in an ultrasound simulation. The tissues of these models are segmented from the MRI volumes into five primary classes of tissue in the human abdominal wall (skin, fat, muscle, connective tissue, and nontissue). This segmentation is achieved using an unsupervised machine learning algorithm, fuzzy c-means clustering (FCM), on a multiscale feature representation of the MRI volumes. We describe an automated method for utilizing FCM weights to produce a model that achieves ∼ 90 % agreement with manual segmentation. Two-dimensional (2-D) and three-dimensional (3-D) full-wave nonlinear ultrasound simulations are conducted, demonstrating the utility of realistic 3-D abdominal wall models over previously available 2-D abdominal wall models.
View details for DOI 10.1117/1.JMI.6.3.037001
View details for PubMedID 31338389
View details for PubMedCentralID PMC6643101
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Effect of Pulsed Focused Ultrasound on the Native Pancreas.
Ultrasound in medicine & biology
2019
Abstract
Pulsed focused ultrasound (pFUS) utilizes short cycles of sound waves to mechanically shake cells within tissues which, in turn, causes transient local increases in cytokines, growth factors and cell adhesion molecules. Although the effect of pFUS has been investigated in several different organs including the kidney, muscle and heart, its effect on the pancreas has not been investigated. In the present work, we applied pFUS to the rodent pancreas with the following parameters: 1.1-MHz frequency, 5-Hz pulse repetition frequency, 5% duty cycle, 10-ms pulse length, 160-s duration. Low-intensity pFUS had a spatial average temporal average intensity of 11.5 W/cm2 and a negative peak pressure of 3 MPa; high-intensity pFUS had a spatial average temporal average intensity of 18.5 W/cm2 and negative peak pressure of 4 MPa. Here we found that pFUS changed the expression of several cytokines while having no effect on the underlying tissue histology or health of pancreatic cells (as reflected by no significant change in plasma levels of amylase and lipase). Furthermore, we found that this effect on cytokine expression in the pancreas was acoustic intensity dependent; while pFUS at low intensities turned off the expression of several cytokines, at high intensities it had the opposite effect and turned on the expression of these cytokines. The ability to non-invasively manipulate the microenvironment of the pancreas using sound waves could have profound implications for priming and modulating this organ for the application of cellular therapies in the context of both regenerative medicine (i.e., diabetes and pancreatitis) and oncology (i.e., pancreatic cancer).
View details for DOI 10.1016/j.ultrasmedbio.2019.11.016
View details for PubMedID 31882169
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Cylindrical Transducer for Intravascular ARFI Imaging: Design & Feasibility.
IEEE transactions on ultrasonics, ferroelectrics, and frequency control
2019
Abstract
Intravascular acoustic radiation force impulse (IV-ARFI) imaging has the potential to identify vulnerable atherosclerotic plaques and improve clinical treatment decisions and outcomes for patients with coronary heart disease. Our long-term goal is to develop a thin, flexible catheter probe that does not require mechanical rotation to achieve high-resolution, real-time IV-ARFI imaging. In this work, we propose a novel cylindrical transducer array design for IV-ARFI imaging and investigate the feasibility of this approach. We present the construction of a 2.2-mm long, 4.6-Fr cylindrical prototype transducer to demonstrate generating large ARFI displacements from a small toroidal beam, and we also present simulations of the proposed IV-ARFI cylindrical array design using Field II and a cylindrical finite-element model of vascular tissues and soft plaques. The prototype transducer was found to generate peak radial displacements of over 10 μm in soft gelatin phantoms, and simulations demonstrate the ability of the array design to obtain ARFI images and distinguish soft plaque targets from surrounding, stiffer vessel wall tissue. These results suggest that high-resolution, real-time IV-ARFI imaging is possible using a cylindrical transducer array.
View details for DOI 10.1109/TUFFC.2019.2942347
View details for PubMedID 31545716
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A Locally Adaptive Phase Aberration Correction (LAPAC) Method for Synthetic Aperture Sequences
ULTRASONIC IMAGING
2019; 41 (1): 3–16
View details for DOI 10.1177/0161734618796556
View details for Web of Science ID 000453084900001
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Vector Flow Velocity Estimation from Beamsummed Data Using Deep Neural Networks
IEEE. 2019: 860–63
View details for Web of Science ID 000510220100220
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Travel-Time Tomography for Local Sound Speed Reconstruction Using Average Sound Speeds
IEEE. 2019: 2007–10
View details for Web of Science ID 000510220100515
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An Open Source GPU-Based Beamformer for Real-Time Ultrasound Imaging and Applications
IEEE. 2019: 20–23
View details for Web of Science ID 000510220100006
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Iterative Retrospective Recovery of Full Synthetic Aperture Data from Focused Transmissions
IEEE. 2019: 1005–8
View details for Web of Science ID 000510220100256
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Low-cost Sensor-enabled Freehand 3D Ultrasound
IEEE. 2019: 498–501
View details for Web of Science ID 000510220100128
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Axially-segmented cylindrical array for intravascular shear wave imaging
SPIE-INT SOC OPTICAL ENGINEERING. 2019
View details for DOI 10.1117/12.2512582
View details for Web of Science ID 000471826100012
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Estimating Signal and Structured Noise in Ultrasound Data using Prediction-Error Filters
SPIE-INT SOC OPTICAL ENGINEERING. 2019
View details for DOI 10.1117/12.2513514
View details for Web of Science ID 000471826100024
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Open-Source Gauss-Newton-Based Methods for Refraction-Corrected Ultrasound Computed Tomography
SPIE-INT SOC OPTICAL ENGINEERING. 2019
View details for DOI 10.1117/12.2511319
View details for Web of Science ID 000471826100006
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Tracking Blood Flow Changes in the Brains of Neonates using Angular-coherence-based Power Doppler
SPIE-INT SOC OPTICAL ENGINEERING. 2019
View details for DOI 10.1117/12.2513554
View details for Web of Science ID 000471826100014
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Versatile Low-Cost Volumetric 3-D Ultrasound Platform for Existing Clinical 2-D Systems
IEEE TRANSACTIONS ON MEDICAL IMAGING
2018; 37 (10): 2248–56
Abstract
Ultrasound imaging has indications across many areas of medicine, but the need for training and the variability in skill and acquired image quality among 2-D ultrasound users have limited its wider adoption and utilization. Low-cost volumetric ultrasound with a known frame of reference has the potential to lower these operator-dependent barriers and enhance the clinical utility of ultrasound imaging. In this paper, we improve upon our previous research-scanner-based prototype to implement a versatile volumetric imaging platform for existing clinical 2-D ultrasound systems. We present improved data acquisition and image reconstruction schemes to increase quality, streamline workflow, and provide real-time visual feedback. We present initial results using the platform on a Vimedix simulator, as well as on phantom and in vivo targets using a variety of clinical ultrasound systems and probes.
View details for DOI 10.1109/TMI.2018.2821901
View details for Web of Science ID 000446342100008
View details for PubMedID 29993653
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Measurements of the Relationship Between CT Hounsfield Units and Acoustic Velocity and How It Changes With Photon Energy and Reconstruction Method
IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL
2018; 65 (7): 1111–24
Abstract
Transcranial magnetic resonance-guided focused ultrasound continues to gain traction as a noninvasive treatment option for a variety of pathologies. Focusing ultrasound through the skull can be accomplished by adding a phase correction to each element of a hemispherical transducer array. The phase corrections are determined with acoustic simulations that rely on speed of sound estimates derived from CT scans. While several studies have investigated the relationship between acoustic velocity and CT Hounsfield units (HUs), these studies have largely ignored the impact of X-ray energy, reconstruction method, and reconstruction kernel on the measured HU, and therefore the estimated velocity, and none have measured the relationship directly. In this paper, 91 ex vivo human skull fragments from two skulls are imaged by 80 CT scans with a variety of energies and reconstruction methods. The average HU from each fragment is found for each scan and correlated with the speed of sound measured using a through transmission technique in that fragment. As measured by the -squared value, the results show that CT is able to account for 23%-53% of the variation in velocity in the human skull. Both the X-ray energy and the reconstruction technique significantly alter the -squared value and the linear relationship between HU and speed of sound in bone. Accounting for these variations will lead to more accurate phase corrections and more efficient transmission of acoustic energy through the skull.
View details for DOI 10.1109/TUFFC.2018.2827899
View details for Web of Science ID 000436933000004
View details for PubMedID 29993366
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Improved Sensitivity in Ultrasound Molecular Imaging With Coherence-Based Beamforming.
IEEE transactions on medical imaging
2018; 37 (1): 241–50
Abstract
Ultrasound molecular imaging (USMI) is accomplished by detecting microbubble (MB) contrast agents that have bound to specific biomarkers, and can be used for a variety of imaging applications, such as the early detection of cancer. USMI has been widely utilized in preclinical imaging in mice; however, USMI in humans can be challenging because of the low concentration of bound MBs and the signal degradation caused by the presence of heterogenous soft tissue between the transducer and the lesion. Short-lag spatial coherence (SLSC) beamforming has been proposed as a robust technique that is less affected by poor signal quality than standard delay-and-sum (DAS) beamforming. In this paper, USMI performance was assessed using contrast-enhanced ultrasound imaging combined with DAS (conventional CEUS) and with SLSC (SLSC-CEUS). Each method was characterized by flow channel phantom experiments. In a USMI-mimicking phantom, SLSC-CEUS was found to be more robust to high levels of additive thermal noise than DAS, with a 6dB SNR improvement when the thermal noise level was +6dB or higher. However, SLSC-CEUS was also found to be insensitive to increases in MB concentration, making it a poor choice for perfusion imaging. USMI performance was also measured in vivo using VEGFR2-targeted MBs in mice with subcutaneous human hepatocellular carcinoma tumors, with clinical imaging conditions mimicked using a porcine tissue layer between the tumor and the transducer. SLSC-CEUS improved the SNR in each of ten tumors by an average of 41%, corresponding to 3.0dB SNR. These results indicate that the SLSC beamformer is well-suited for USMI applications because of its high sensitivity and robust properties under challenging imaging conditions.
View details for DOI 10.1109/TMI.2017.2774814
View details for PubMedID 29293430
View details for PubMedCentralID PMC5764183
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Reverberation Noise Suppression in the Aperture Domain Using 3D Fully Convolutional Neural Networks
IEEE. 2018
View details for Web of Science ID 000458693001046
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Distributed Phase Aberration Correction Techniques Based on Local Sound Speed Estimates
IEEE. 2018
View details for Web of Science ID 000458693001161
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Regularized Inversion Method for Frequency-Domain Recovery of the Full Synthetic Aperture Dataset From Focused Transmissions
IEEE. 2018
View details for Web of Science ID 000458693001220
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High Sensitivity Liver Vasculature Visualization Using a Real-time Coherent Flow Power Doppler (CFPD) Imaging System: A Pilot Clinical Study
IEEE. 2018
View details for Web of Science ID 000458693000074
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Adaptive Grayscale Mapping to Improve Molecular Ultrasound Difference Images
IEEE. 2018
View details for Web of Science ID 000458693001138
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Effects of Phase Aberration and Phase Aberration Correction on the Minimum Variance Beamformer.
Ultrasonic imaging
2018; 40 (1): 15-34
Abstract
The minimum variance (MV) beamformer has the potential to enhance the resolution and contrast of ultrasound images but is sensitive to steering vector errors. Robust MV beamformers have been proposed but mainly evaluated in the presence of gross sound speed mismatches, and the impact of phase aberration correction (PAC) methods in mitigating the effects of phase aberration in MV beamformed images has not been explored. In this study, an analysis of the effects of aberration on conventional MV and eigenspace MV (ESMV) beamformers is carried out. In addition, the impact of three PAC algorithms on the performance of MV beamforming is analyzed. The different beamformers were tested on simulated data and on experimental data corrupted with electronic and tissue-based aberration. It is shown that all gains in performance of the MV beamformer with respect to delay-and-sum (DAS) are lost at high aberration strengths. For instance, with an electronic aberration of 60 ns, the lateral resolution of DAS degrades by 17% while MV degrades by 73% with respect to the images with no aberration. Moreover, although ESMV shows robustness at low aberration levels, its degradation at higher aberrations is approximately the same as that of regular MV. It is also shown that basic PAC methods improve the aberrated MV beamformer. For example, in the case of electronic aberration, multi-lag reduces degradation in lateral resolution from 73% to 28% and contrast loss from 85% to 25%. These enhancements allow the combination of MV and PAC to outperform DAS and PAC and ESMV in moderate and strong aberrations. We conclude that the effect of aberration on the MV beamformer is stronger than previously reported in the literature and that PAC is needed to improve its clinical potential.
View details for DOI 10.1177/0161734617717768
View details for PubMedID 28703644
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B-line detection using amplitude modulation-frequency modulation (AM-FM) features
SPIE MEDICAL IMAGING
2018; 10580
View details for DOI 10.1117/12.2285224
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K-Means Clustering for High-Resolution, Realistic Acoustic Maps
SPIE-INT SOC OPTICAL ENGINEERING. 2018
View details for DOI 10.1117/12.2293990
View details for Web of Science ID 000450861900027
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Effects of Phase Aberration and Phase Aberration Correction on the Minimum Variance Beamformer
ULTRASONIC IMAGING
2018; 40 (1): 15–34
View details for DOI 10.1177/0161734617717768
View details for Web of Science ID 000416381400002
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Low-cost Volumetric Ultrasound by Augmentation of 2D Systems: Design and Prototype.
Ultrasonic imaging
2017: 161734617718528
Abstract
Conventional two-dimensional (2D) ultrasound imaging is a powerful diagnostic tool in the hands of an experienced user, yet 2D ultrasound remains clinically underutilized and inherently incomplete, with output being very operator dependent. Volumetric ultrasound systems can more fully capture a three-dimensional (3D) region of interest, but current 3D systems require specialized transducers, are prohibitively expensive for many clinical departments, and do not register image orientation with respect to the patient; these systems are designed to provide improved workflow rather than operator independence. This work investigates whether it is possible to add volumetric 3D imaging capability to existing 2D ultrasound systems at minimal cost, providing a practical means of reducing operator dependence in ultrasound. In this paper, we present a low-cost method to make 2D ultrasound systems capable of quality volumetric image acquisition: we present the general system design and image acquisition method, including the use of a probe-mounted orientation sensor, a simple probe fixture prototype, and an offline volume reconstruction technique. We demonstrate initial results of the method, implemented using a Verasonics Vantage research scanner.
View details for PubMedID 28691586
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Angular coherence in ultrasound imaging: Theory and applications
JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA
2017; 141 (3): 1582-1594
Abstract
The popularity of plane-wave transmits at multiple transmit angles for synthetic transmit aperture (or coherent compounding) has spawned a number of adaptations and new developments of ultrasonic imaging. However, the coherence properties of backscattered signals with plane-wave transmits at different angles are unknown and may impact a subset of these techniques. To provide a framework for the analysis of the coherence properties of such signals, this article introduces the angular coherence theory in medical ultrasound imaging. The theory indicates that the correlation function of such signals forms a Fourier transform pair with autocorrelation function of the receive aperture function. This conclusion can be considered as an extended form of the van Cittert Zernike theorem. The theory is validated with simulation and experimental results obtained on speckle targets. On the basis of the angular coherence of the backscattered wave, a new short-lag angular coherence beamformer is proposed and compared with an existing spatial-coherence-based beamformer. An application of the theory in phase shift estimation and speed of sound estimation is also presented.
View details for DOI 10.1121/1.4976960
View details for Web of Science ID 000398962500043
View details for PubMedID 28372139
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Efficient Strategies for Estimating the Spatial Coherence of Backscatter
IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL
2017; 64 (3): 500-513
Abstract
The spatial coherence of ultrasound backscatter has been proposed to reduce clutter in medical imaging, to measure the anisotropy of the scattering source, and to improve the detection of blood flow. These techniques rely on correlation estimates that are obtained using computationally expensive strategies. In this paper, we assess the existing spatial coherence estimation methods and propose three computationally efficient modifications: a reduced kernel, a downsampled receive aperture, and the use of an ensemble correlation coefficient. The proposed methods are implemented in simulation and in vivo studies. Reducing the kernel to a single sample improved computational throughput and improved axial resolution. Downsampling the receive aperture was found to have negligible effect on estimator variance, and improved computational throughput by an order of magnitude for a downsample factor of 4. The ensemble correlation estimator demonstrated lower variance than the currently used average correlation. Combining the three methods, the throughput was improved 105-fold in simulation with a downsample factor of 4- and 20-fold in vivo with a downsample factor of 2.
View details for DOI 10.1109/TUFFC.2016.2634004
View details for Web of Science ID 000396399400002
View details for PubMedCentralID PMC5453518
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Coherence Beamforming and its Applications to the Difficult-to-Image Patient
IEEE. 2017
View details for Web of Science ID 000416948400035
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Visualization of Small-Diameter Vessels by Reduction of Incoherent Reverberation With Coherent Flow Power Doppler.
IEEE transactions on ultrasonics, ferroelectrics, and frequency control
2016; 63 (11): 1878-1889
Abstract
Power Doppler (PD) imaging is a widely used technique for flow detection. Despite the wide use of Doppler ultrasound, limitations exist in the ability of Doppler ultrasound to assess slow flow in the small-diameter vasculature, such as the maternal spiral arteries and fetal villous arteries of the placenta and focal liver lesions. The sensitivity of PD in small vessel detection is limited by the low signal produced by slow flow and the noise associated with small vessels. The noise sources include electronic noise, stationary or slowly moving tissue clutter, reverberation clutter, and off-axis scattering from tissue, among others. In order to provide more sensitive detection of slow flow in small diameter vessels, a coherent flow imaging technique, termed coherent flow PD (CFPD), is characterized and evaluated with simulation, flow phantom experiment studies, and an in vivo animal small vessel detection study. CFPD imaging was introduced as a technique to detect slow blood flow. It has been demonstrated to detect slow flow below the detection threshold of conventional PD imaging using identical pulse sequences and filter parameters. In this paper, we compare CFPD with PD in the detection of blood flow in small-diameter vessels. The results from the study suggest that CFPD is able to provide a 7.5-12.5-dB increase in the signal-to-noise ratio (SNR) over PD images for the same physiological conditions and is less susceptible to reverberation clutter and thermal noise. Due to the increase in SNR, CFPD is able to detect small vessels in high channel noise cases, for which PD was unable to generate enough contrast to observe the vessel.
View details for PubMedID 27824565
View details for PubMedCentralID PMC5154731
- Advances in Ultrasonic Imaging Technology Advances in Medical Physics – 2016 Medical Physics Publishing. 2016: 71–96
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Comparison of Acoustic Radiation Force Impulse Imaging Derived Carotid Plaque Stiffness With Spatially Registered MRI Determined Composition
IEEE TRANSACTIONS ON MEDICAL IMAGING
2015; 34 (11): 2354-2365
Abstract
Measurements of plaque stiffness may provide important prognostic and diagnostic information to help clinicians distinguish vulnerable plaques containing soft lipid pools from more stable, stiffer plaques. In this preliminary study, we compare in vivo ultrasonic Acoustic Radiation Force Impulse (ARFI) imaging derived measures of carotid plaque stiffness with composition determined by spatially registered Magnetic Resonance Imaging (MRI) in five human subjects with stenosis > 50%. Ultrasound imaging was implemented on a commercial diagnostic scanner with custom pulse sequences to collect spatially registered 2D longitudinal B-mode and ARFI images. A standardized, multi-contrast weighted MRI sequence was used to obtain 3D Time of Flight (TOF), T1 weighted (T1W), T2 weighted (T2W), and Proton Density Weighted (PDW) transverse image stacks of volumetric data. The MRI data was segmented to identify lipid, calcium, and normal loose matrix components using commercially available software. 3D MRI segmented plaque models were rendered and spatially registered with 2D B-mode images to create fused ultrasound and MRI volumetric images for each subject. ARFI imaging displacements in regions of interest (ROIs) derived from MRI segmented contours of varying composition were compared. Regions of calcium and normal loose matrix components identified by MRI presented as homogeneously stiff regions of similarly low (typically ≈ 1 μm) displacement in ARFI imaging. MRI identified lipid pools > 2 mm(2), found in three out of five subjects, presented as softer regions of increased displacement that were on average 1.8 times greater than the displacements in adjacent regions of loose matrix components in spatially registered ARFI images. This work provides early evidence supporting the use of ARFI imaging to noninvasively identify lipid regions in carotid artery plaques in vivo that are believed to increase the propensity of a plaque to rupture. Additionally, the results provide early training data for future studies and aid in the interpretation and possible clinical utility of ARFI imaging for identifying the elusive vulnerable plaque.
View details for DOI 10.1109/TMI.2015.2432797
View details for Web of Science ID 000364461000013
View details for PubMedID 25974933
View details for PubMedCentralID PMC4678151
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Resolution and Brightness Characteristics of Short-Lag Spatial Coherence (SLSC) Images
IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL
2015; 62 (7): 1265-1276
Abstract
We previously described a novel beamforming method that images the spatial correlation of an echo wave field with demonstrated applications to clutter reduction in high-noise environments. In this paper, several characteristics of the resolution and brightness of short-lag spatial coherence (SLSC) images formed by this method are compared with B-mode images formed by conventional delay-and-sum beamforming methods. Point target widths were measured to estimate resolution, the autocorrelation of image texture was measured to estimate texture size, and the contrast (i.e., brightness ratio) of clinically relevant targets was assessed. SLSC images demonstrate improved resolution and contrast with increasing values of channel noise and clutter, whereas B-mode resolution was degraded in the presence of high noise (i.e., > -12 dB channel noise-to-signal ratios) and high clutter magnitudes (i.e., > -21 dB relative to point target magnitude). Lateral resolution in SLSC images was improved with increasing lag value, whereas axial resolution was degraded with increasing correlation kernel length. The texture size of SLSC images was smaller than that of matched B-mode images. Results demonstrate that the resolution and contrast of coherence-based images depend on a range of parameters, but are generally superior to those of matched B-mode images under challenging imaging conditions.
View details for DOI 10.1109/TUFFC.2014.006909
View details for Web of Science ID 000357960000004
View details for PubMedID 26168173
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In Vivo Application of Short-Lag Spatial Coherence and Harmonic Spatial Coherence Imaging in Fetal Ultrasound
ULTRASONIC IMAGING
2015; 37 (2): 101-116
Abstract
Fetal scanning is one of the most common applications of ultrasound imaging and serves as a source of vital information about maternal and fetal health. Visualization of clinically relevant structures, however, can be severely compromised in difficult-to-image patients due to poor resolution and the presence of high levels of acoustical noise or clutter. We have developed novel coherence-based beamforming methods called Short-Lag Spatial Coherence (SLSC) imaging and Harmonic Spatial Coherence imaging (HSCI), and applied them to suppress the effects of clutter in fetal imaging. This method is used to create images of the spatial coherence of the backscattered ultrasound as opposed to images of echo magnitude. We present the results of a patient study to assess the benefits of coherence-based beamforming in the context of first trimester fetal exams. Matched fundamental B-mode, SLSC, harmonic B-mode, and HSCI images were generated using raw radio frequency data collected on 11 volunteers in the first trimester of pregnancy. The images were compared for qualitative differences in image texture and target conspicuity as well as using quantitative imaging metrics such as signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), and contrast. SLSC and HSCI showed statistically significant improvements across all imaging metrics compared with B-mode and harmonic B-mode, respectively. These improvements were greatest for poor quality B-mode images where contrast of anechoic targets was improved from 15 dB in fundamental B-mode to 27 dB in SLSC and 17 dB in harmonic B-mode to 30 dB in HSCI. CNR improved from 1.4 to 2.5 in the fundamental images and 1.4 to 3.1 in the harmonic case. These results exhibit the potential of coherence-based beamforming to improve image quality and target detectability, especially in high noise environments.
View details for DOI 10.1177/0161734614547281
View details for Web of Science ID 000350487500002
View details for PubMedID 25116292
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Intravascular acoustic radiation force imaging: Feasibility study
IEEE International Ultrasonics Symposium (IUS)
2015
View details for DOI 10.1109/ULTSYM.2015.0118
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Coherence Beamforming Applied to Velocity Estimation and Partially Coherent Signals
IEEE International Ultrasonics Symposium (IUS)
2015
View details for DOI 10.1109/ULTSYM.2015.0013
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Small-diameter Vasculature Detection with Coherent Flow Power Doppler Imaging
IEEE International Ultrasonics Symposium (IUS)
2015
View details for DOI 10.1109/ULTSYM.2015.0012
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Real-Time High-Framerate In Vivo Cardiac SLSC Imaging with a GPU-Based Beamformer
IEEE International Ultrasonics Symposium (IUS)
2015
View details for DOI 10.1109/ULTSYM.2015.0077
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Spatial Coherence in Human Tissue: Implications for Imaging and Measurement
IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL
2014; 61 (12): 1976-1987
Abstract
The spatial coherence properties of the signal backscattered by human tissue and measured by an ultrasound transducer array are investigated. Fourier acoustics are used to describe the propagation of ultrasound through a model of tissue that includes reverberation and random scattering in the imaging plane. The theoretical development describes how the near-field tissue layer, transducer aperture properties, and reflectivity function at the focus reduce the spatial coherence of the imaging wave measured at the transducer surface. Simulations are used to propagate the acoustic field through a histologically characterized sample of the human abdomen and to validate the theoretical predictions. In vivo measurements performed with a diagnostic ultrasound scanner demonstrate that simulations and theory closely match the measured spatial coherence characteristics in the human body across the transducer array's entire spatial extent. The theoretical framework and simulations are then used to describe the physics of spatial coherence imaging, a type of ultrasound imaging that measures coherence properties instead of echo brightness. The same echo data from an F/2 transducer was used to generate B-mode and short lag spatial coherence images. For an anechoic lesion at the focus, the contrast-to-noise ratio is 1.21 for conventional B-mode imaging and 1.95 for spatial coherence imaging. It is shown that the contrast in spatial coherence imaging depends on the properties of the near-field tissue layer and the backscattering function in the focal plane.
View details for DOI 10.1109/TUFFC.2014.006362
View details for Web of Science ID 000345944300006
View details for PubMedID 25474774
View details for PubMedCentralID PMC4261956
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Short-Lag Spatial Coherence Imaging on Matrix Arrays, Part II: Phantom and In Vivo Experiments
IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL
2014; 61 (7): 1113-1122
Abstract
In Part I of the paper, we demonstrated through simulation the potential of volumetric short-lag spatial coherence (SLSC) imaging to improve visualization of hypoechoic targets in three dimensions. Here, we demonstrate the application of volumetric SLSC imaging in phantom and in vivo experiments using a clinical 3-D ultrasound scanner and matrix array. Using a custom single-channel acquisition tool, we collected partially beamformed channel data from the fully sampled matrix array at high speeds and created matched Bmode and SLSC volumes of a vessel phantom and in vivo liver vasculature. 2-D and 3-D images rendered from the SLSC volumes display reduced clutter and improved visibility of the vessels when compared with their B-mode counterparts. We use concurrently acquired color Doppler volumes to confirm the presence of the vessels of interest and to define the regions inside the vessels used in contrast and contrast-to-noise ratio (CNR) calculations. SLSC volumes show higher CNR values than their matched B-mode volumes, while the contrast values appear to be similar between the two imaging methods.
View details for DOI 10.1109/TUFFC.2014.3011
View details for Web of Science ID 000338665500005
View details for PubMedID 24960701
View details for PubMedCentralID PMC4234201
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Short-Lag Spatial Coherence Imaging on Matrix Arrays, Part I: Beamforming Methods and Simulation Studies
IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL
2014; 61 (7): 1101-1112
Abstract
Short-lag spatial coherence (SLSC) imaging is a beamforming technique that has demonstrated improved imaging performance compared with conventional B-mode imaging in previous studies. Thus far, the use of 1-D arrays has limited coherence measurements and SLSC imaging to a single dimension. Here, the SLSC algorithm is extended for use on 2-D matrix array transducers and applied in a simulation study examining imaging performance as a function of subaperture configuration and of incoherent channel noise. SLSC images generated with a 2-D array yielded superior contrast-to-noise ratio (CNR) and texture SNR measurements over SLSC images made on a corresponding 1-D array and over B-mode imaging. SLSC images generated with square subapertures were found to be superior to SLSC images generated with subapertures of equal surface area that spanned the whole array in one dimension. Subaperture beamforming was found to have little effect on SLSC imaging performance for subapertures up to 8 x 8 elements in size on a 64 × 64 element transducer. Additionally, the use of 8 x 8, 4 x 4, and 2 x 2 element subapertures provided 8, 4, and 2 times improvement in channel SNR along with 2640-, 328-, and 25-fold reduction in computation time, respectively. These results indicate that volumetric SLSC imaging is readily applicable to existing 2-D arrays that employ subaperture beamforming.
View details for DOI 10.1109/TUFFC.2014.3010
View details for Web of Science ID 000338665500004
View details for PubMedID 24960700
View details for PubMedCentralID PMC4235772
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Estimation of shear wave speed in the human uterine cervix
ULTRASOUND IN OBSTETRICS & GYNECOLOGY
2014; 43 (4): 452-458
Abstract
To explore spatial variability within the cervix and the sensitivity of shear wave speed (SWS) to assess softness/stiffness differences in ripened (softened) vs unripened tissue.We obtained SWS estimates from hysterectomy specimens (n = 22), a subset of which were ripened (n = 13). Multiple measurements were made longitudinally along the cervical canal on both the anterior and posterior sides of the cervix. Statistical tests of differences in the proximal vs distal, anterior vs posterior and ripened vs unripened cervix were performed with individual two-sample t-tests and a linear mixed model.Estimates of SWS increase monotonically from distal to proximal longitudinally along the cervix, they vary in the anterior compared to the posterior cervix and they are significantly different in ripened vs unripened cervical tissue. Specifically, the mid position SWS estimates for the unripened group were 3.45 ± 0.95 m/s (anterior; mean ± SD) and 3.56 ± 0.92 m/s (posterior), and 2.11 ± 0.45 m/s (anterior) and 2.68 ± 0.57 m/s (posterior) for the ripened group (P < 0.001).We propose that SWS estimation may be a valuable research and, ultimately, diagnostic tool for objective quantification of cervical stiffness/softness.
View details for DOI 10.1002/uog.12555
View details for Web of Science ID 000333696800013
View details for PubMedID 23836486
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Acoustic Radiation Force Impulse Imaging (ARFI) on an IVUS Circular Array
ULTRASONIC IMAGING
2014; 36 (2): 98-111
Abstract
Our long-term goal is the detection and characterization of vulnerable plaque in the coronary arteries of the heart using intravascular ultrasound (IVUS) catheters. Vulnerable plaque, characterized by a thin fibrous cap and a soft, lipid-rich necrotic core is a precursor to heart attack and stroke. Early detection of such plaques may potentially alter the course of treatment of the patient to prevent ischemic events. We have previously described the characterization of carotid plaques using external linear arrays operating at 9 MHz. In addition, we previously modified circular array IVUS catheters by short-circuiting several neighboring elements to produce fixed beamwidths for intravascular hyperthermia applications. In this paper, we modified Volcano Visions 8.2 French, 9 MHz catheters and Volcano Platinum 3.5 French, 20 MHz catheters by short-circuiting portions of the array for acoustic radiation force impulse imaging (ARFI) applications. The catheters had an effective transmit aperture size of 2 mm and 1.5 mm, respectively. The catheters were connected to a Verasonics scanner and driven with pushing pulses of 180 V p-p to acquire ARFI data from a soft gel phantom with a Young's modulus of 2.9 kPa. The dynamic response of the tissue-mimicking material demonstrates a typical ARFI motion of 1 to 2 microns as the gel phantom displaces away and recovers back to its normal position. The hardware modifications applied to our IVUS catheters mimic potential beamforming modifications that could be implemented on IVUS scanners. Our results demonstrate that the generation of radiation force from IVUS catheters and the development of intravascular ARFI may be feasible.
View details for DOI 10.1177/0161734613511595
View details for Web of Science ID 000331541600002
View details for PubMedID 24554291
View details for PubMedCentralID PMC4176895
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REVERBERATION CLUTTER FROM SUBCUTANEOUS TISSUE LAYERS: SIMULATION AND IN VIVO DEMONSTRATIONS
ULTRASOUND IN MEDICINE AND BIOLOGY
2014; 40 (4): 714-726
Abstract
The degradation of ultrasonic image quality is typically attributed to aberration and reverberation. Although the sources and impact of aberration are well understood, very little is known about the source and impact of image degradation caused by reverberation. Reverberation is typically associated with multiple reflections at two interfaces along the same propagation path, as with the arterial wall or a metal sphere. However, the reverberation that results in image degradation includes more complex interaction between the propagating wave and the tissue. Simulations of wave propagation in realistic and simplified models of the abdominal wall are used to illustrate the characteristics of coherent and diffuse clutter generated by reverberation. In the realistic models, diffuse reverberation clutter is divided into that originating from the tissue interfaces and that originating from sub-resolution diffuse scatterers. In the simplified models, the magnitude of the reverberation clutter is observed as angle and density of the connective tissue are altered. The results suggest that multi-path scattering from the connective tissue/fat interfaces is a dominant component of reverberation clutter. Diffuse reverberation clutter is maximal when the connective tissue is near normal to the beam direction and increases with the density of connective tissue layers at these large angles. The presence of a thick fascial or fibrous layer at the distal boundary of the abdominal wall magnifies the amount of reverberation clutter. The simulations also illustrate that compression of the abdominal layer, a technique often used to mitigate clutter in overweight and obese patients, increases the decay of reverberation clutter with depth. In addition, rotation of the transducer or steering of the beam with respect to highly reflecting boundaries can reduce coherent clutter and transform it to diffuse clutter, which can be further reduced using coherence-based beamforming techniques. In vivo images of the human bladder illustrate some of the reverberation effects observed in simulation.
View details for DOI 10.1016/j.ultrasmedbio.2013.11.029
View details for Web of Science ID 000332027300007
View details for PubMedID 24530261
View details for PubMedCentralID PMC3942094
- Sparse sampling methods for efficient spatial coherence estimation IEEE International Ultrasonics Symposium (IUS) 2014: 535–38
- Flow detection based on the spatial coherence of backscattered echoes IEEE International Ultrasonics Symposium (IUS) 2014: 428–31
- Accuracy of backscatter coefficient estimation in aberrating media using different phase aberration correction strategies – a simulation study IEEE International Ultrasonics Symposium (IUS) 2014: 2438–41
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Harmonic Tracking of Acoustic Radiation Force-Induced Displacements
IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL
2013; 60 (11): 2347-2358
Abstract
Ultrasound-based elasticity imaging methods rely upon accurate estimates of tissue deformation to characterize the mechanical properties of soft tissues. These methods are corrupted by clutter, which can bias and/or increase variance in displacement estimates. Harmonic imaging methods are routinely used for clutter suppression and improved image quality in conventional B-mode ultrasound, but have not been utilized in ultrasound-based elasticity imaging methods. We introduce a novel, fully-sampled pulse-inversion harmonic method for tracking tissue displacements that corrects the loss in temporal sampling frequency associated with conventional pulse-inversion techniques. The method is implemented with acoustic radiation force impulse (ARFI) imaging to monitor the displacements induced by an impulsive acoustic radiation force excitation. Custom pulse sequences were implemented on a diagnostic ultrasound scanner to collect spatially-matched fundamental and harmonic information within a single acquisition. B-mode and ARFI images created from fundamental data collected at 4 MHz and 8 MHz are compared with 8-MHz harmonic images created using a band-pass filter approach and the fully sampled pulse-inversion method. In homogeneous, tissue-mimicking phantoms, where no visible clutter was observed, there was little difference in the axial displacements, estimated jitter, and normalized cross-correlation among the fundamental and harmonic tracking methods. The similarity of the lower- and higher-frequency methods suggests that any improvement resulting from the increased frequency of the harmonic components is negligible. The harmonic tracking methods demonstrated a marked improvement in B-mode and ARFI image quality of in vivo carotid arteries. Improved feature detection and decreased variance in estimated displacements were observed in the arterial walls of harmonic ARFI images, especially in the pulse-inversion harmonic ARFI images. Within the lumen, the harmonic tracking methods improved the discrimination of the blood–vessel interface, making it easier to visualize plaque boundaries. Improvements in harmonic ARFI images in vivo were consistent with suppressed clutter supported by improved contrast and contrast-to-noise ratio (CNR) in the matched harmonic B-mode images compared with the fundamental B-mode images. These results suggest that harmonic tracking methods can improve the clinical utility and diagnostic accuracy of ultrasound-based elasticity imaging methods.
View details for DOI 10.1109/TUFFC.2013.2831
View details for Web of Science ID 000327729700011
View details for PubMedID 24158290
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SHORT-LAG SPATIAL COHERENCE IMAGING OF CARDIAC ULTRASOUND DATA: INITIAL CLINICAL RESULTS
ULTRASOUND IN MEDICINE AND BIOLOGY
2013; 39 (10): 1861-1874
Abstract
Short-lag spatial coherence (SLSC) imaging is a novel beamforming technique that reduces acoustic clutter in ultrasound images. A clinical study was conducted to investigate clutter reduction and endocardial border detection in cardiac SLSC images. Individual channel echo data were acquired from the left ventricle of 14 volunteers, after informed consent and institutional review board approval. Paired B-mode and SLSC images were created from these data. Contrast, contrast-to-noise, and signal-to-noise ratios were measured in paired images, and these metrics were improved with SLSC imaging in most cases. Three cardiology fellows rated the visibility of endocardial segments in randomly ordered B-mode and SLSC cine loops. SLSC imaging offered 22%-33% improvement (p < 0.05) in endocardial border visibility when B-mode image quality was poor (i.e., 80% or more of the endocardial segments could not be visualized by the three reviewers). The percentage of volunteers with poor-quality images was decreased from 21% to 7% with the SLSC beamformer. Results suggest that SLSC imaging has the potential to improve clinical cardiac assessments that are challenged by clutter.
View details for DOI 10.1016/j.ultrasmedbio.2013.03.029
View details for Web of Science ID 000324053800014
View details for PubMedID 23932276
View details for PubMedCentralID PMC3966558
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Synthetic Aperture Focusing for Short-Lag Spatial Coherence Imaging
IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL
2013; 60 (9): 1816-1826
Abstract
It has been demonstrated that short-lag spatial coherence (SLSC) ultrasound imaging can provide improved speckle SNR and lesion CNR compared with conventional Bmode images, especially in the presence of noise and clutter. Application of the van Cittert-Zernike theorem predicts that coherence among the ultrasound echoes received across an array is reduced significantly away from the transmit focal depth, leading to a limited axial depth of field in SLSC images. Transmit focus throughout the field of view can be achieved using synthetic aperture methods to combine multiple transmit events into a single final image. A synthetic aperture can be formed with either focused or diverging transmit beams. We explore the application of these methods to form synthetically focused channel data to create SLSC images with an extended axial depth of field. An analytical expression of SLSC image brightness through depth is derived for the dynamic receive focus case. Experimental results in a phantom and in vivo are presented and compared with dynamic receive focused SLSC images, demonstrating improved SNR and CNR away from the transmit focus and an axial depth of field four to five times longer.
View details for DOI 10.1109/TUFFC.2013.2768
View details for Web of Science ID 000324334900005
View details for PubMedID 24658715
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IN VIVO APPLICATION OF SHORT-LAG SPATIAL COHERENCE IMAGING IN HUMAN LIVER
ULTRASOUND IN MEDICINE AND BIOLOGY
2013; 39 (3): 534-542
Abstract
We present the results of a patient study conducted to assess the performance of two novel imaging methods, namely short-lag spatial coherence (SLSC) and harmonic spatial coherence imaging (HSCI), in an in vivo liver environment. Similar in appearance to the B-mode images, SLSC and HSCI images are based solely on the spatial coherence of fundamental and harmonic echo data, respectively, and do not depend on the echo magnitude. SLSC and HSCI suppress incoherent echo signals and thus tend to reduce clutter. The SLSC and HSCI images of 17 patients demonstrated sharper delineation of blood vessel walls, suppressed clutter inside the vessel lumen, and showed reduced speckle in surrounding tissue compared to matched B-modes. Target contrast and contrast-to-noise ratio (CNR) show statistically significant improvements between fundamental B-mode and SLSC imaging and between harmonic B-mode and HSCI imaging (in all cases p < 0.001). The magnitude of improvement in contrast and CNR increases as the overall quality of B-mode images decreases. Poor-quality fundamental B-mode images (where image quality classification is based on both contrast and CNR) exhibit the highest improvements in both contrast and CNR (288% improvement in contrast and 533% improvement in CNR).
View details for DOI 10.1016/j.ultrasmedbio.2012.09.022
View details for Web of Science ID 000314872200015
View details for PubMedID 23347642
View details for PubMedCentralID PMC3638043
- Acoustic Radiation Force Imaging Emerging Imaging Technologies in Medicine Taylor & Francis Group. 2013: 201–207
- Coherent flow imaging: A power Doppler imaging technique based on backscatter spatial coherence Joint UFFC, EFTF, and PFM Symposium 2013: 639–642
- Apodization schemes for SLSC imaging: Simula- tion, phantom and in vivo demonstrations of image quality Joint UFFC, EFTF, and PFM Symposium 2013: 1276–1279
- Acoustic radiation force impulse imaging (ARFI) on an IVUS circular array Joint UFFC, EFTF, and PFM Symposium 2013: 773–776
- In Vivo Performance Evaluation of Short-Lag Spatial Coherence and Harmonic Spatial Coherence Imaging in Fetal Ultrasound IEEE International Ultrasonics Symposium (IUS) 2013: 600–603
- Spatial coherence and its relationship to human tissue: An analytical description of imaging methods Joint UFFC, EFTF, and PFM Symposium 2013: 569–599
- Identification and impact of blocked elements in 1-D and 2-D arrays Joint UFFC, EFTF, and PFM Symposium 2013: 1296–99
- Volumetric SLSC imaging of vasculature on a clincal matrix array Joint UFFC, EFTF, and PFM Symposium 2013: 1240–43
- In vivo performance evaluation of short- lag spatial coherence (SLSC) and harmonic spatial coherence (HSC) imaging in fetal ultrasound Joint UFFC, EFTF, and PFM Symposium 2013: 600–603
- In Vivo demonstration of a real-time simultaneous B-mode/spatial coherence GPU-based beamformer Joint UFFC, EFTF, and PFM Symposium 2013: 1280–83
- A harmonic tracking method for improved visualization of arterial structures with acoustic radiation force impulse imaging Joint UFFC, EFTF, and PFM Symposium 2013: 1769–72
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Harmonic Spatial Coherence Imaging: An Ultrasonic Imaging Method Based on Backscatter Coherence
IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL
2012; 59 (4): 648-659
Abstract
We introduce a harmonic version of the short-lag spatial coherence (SLSC) imaging technique, called harmonic spatial coherence imaging (HSCI). The method is based on the coherence of the second-harmonic backscatter. Because the same signals that are used to construct harmonic B-mode images are also used to construct HSCI images, the benefits obtained with harmonic imaging are also obtained with HSCI. Harmonic imaging has been the primary tool for suppressing clutter in diagnostic ultrasound imaging, however secondharmonic echoes are not necessarily immune to the effects of clutter. HSCI and SLSC imaging are less sensitive to clutter because clutter has low spatial coherence. HSCI shows favorable imaging characteristics such as improved contrast-to-noise ratio (CNR), improved speckle SNR, and better delineation of borders and other structures compared with fundamental and harmonic B-mode imaging. CNRs of up to 1.9 were obtained from in vivo imaging of human cardiac tissue with HSCI, compared with 0.6, 0.9, and 1.5 in fundamental B-mode, harmonic B-mode, and SLSC imaging, respectively. In vivo experiments in human liver tissue demonstrated SNRs of up to 3.4 for HSCI compared with 1.9 for harmonic B-mode. Nonlinear simulations of a heart chamber model were consistent with the in vivo experiments.
View details for DOI 10.1109/TUFFC.2012.2243
View details for Web of Science ID 000303405500004
View details for PubMedID 22547276
View details for PubMedCentralID PMC3342045
- Recent Advances in Ultrasonic Imaging and Ultrasonic Imaging Technology Advances in Medical Physics – 2012 Medical Physics Publishing. 2012: 219–234
- Comparative evaluation of wavefront coherence imaging methods in the presence of clutter IEEE International Ultrasonics Symposium (IUS) 2012: 1977–1981
- Clinical realization of SLSC imaging on 2D arrays IEEE International Ultrasonics Symposium 2012: 2266–2269
- A harmonic tracking method for acoustic radiation force impulse (ARFI) imaging EEE International Ultrasonics Symposium (IUS) 2012: 208–211
- Efficient strategies for estimating spatial coherence on matrix probes IEEE International Ultrasonics Symposium 2012: 117–120
- Application of synthetic aperture focusing to short-lag spatial coherence IEEE International Ultrasonics Symposium (IUS) 2012: 2262–2265
- Improved visualization of endocardial borders with short-lag spatial coherence imaging of fundamental and harmonic ultrasound data EEE International Ultrasonics Symposium (IUS) 2012: 2129–2132
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The development and potential of acoustic radiation force impulse (ARFI) imaging for carotid artery plaque characterization
VASCULAR MEDICINE
2011; 16 (4): 302-311
Abstract
Stroke is the third leading cause of death and long-term disability in the USA. Currently, surgical intervention decisions in asymptomatic patients are based upon the degree of carotid artery stenosis. While there is a clear benefit of endarterectomy for patients with severe (> 70%) stenosis, in those with high/moderate (50-69%) stenosis the evidence is less clear. Evidence suggests ischemic stroke is associated less with calcified and fibrous plaques than with those containing softer tissue, especially when accompanied by a thin fibrous cap. A reliable mechanism for the identification of individuals with atherosclerotic plaques which confer the highest risk for stroke is fundamental to the selection of patients for vascular interventions. Acoustic radiation force impulse (ARFI) imaging is a new ultrasonic-based imaging method that characterizes the mechanical properties of tissue by measuring displacement resulting from the application of acoustic radiation force. These displacements provide information about the local stiffness of tissue and can differentiate between soft and hard areas. Because arterial walls, soft tissue, atheromas, and calcifications have a wide range in their stiffness properties, they represent excellent candidates for ARFI imaging. We present information from early phantom experiments and excised human limb studies to in vivo carotid artery scans and provide evidence for the ability of ARFI to provide high-quality images which highlight mechanical differences in tissue stiffness not readily apparent in matched B-mode images. This allows ARFI to identify soft from hard plaques and differentiate characteristics associated with plaque vulnerability or stability.
View details for DOI 10.1177/1358863X11400936
View details for Web of Science ID 000293699400009
View details for PubMedID 21447606
View details for PubMedCentralID PMC3265036
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Short-Lag Spatial Coherence of Backscattered Echoes: Imaging Characteristics
IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL
2011; 58 (7): 1377-1388
Abstract
Conventional ultrasound images are formed by delay-and-sum beamforming of the backscattered echoes received by individual elements of the transducer aperture. Although the delay-and-sum beamformer is well suited for ultrasound image formation, it is corrupted by speckle noise and challenged by acoustic clutter and phase aberration. We propose an alternative method of imaging utilizing the short-lag spatial coherence (SLSC) of the backscattered echoes. Compared with matched B-mode images, SLSC images demonstrate superior SNR and contrast-to-noise ratio in simulated and experimental speckle-generating phantom targets, but are shown to be challenged by limited point target conspicuity. Matched B-mode and SLSC images of a human thyroid are presented. The challenges and opportunities of real-time implementation of SLSC imaging are discussed.
View details for DOI 10.1109/TUFFC.2011.1957
View details for Web of Science ID 000293688700009
View details for PubMedID 21768022
View details for PubMedCentralID PMC3172134
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Lesion Detectability in Diagnostic Ultrasound with Short-Lag Spatial Coherence Imaging
ULTRASONIC IMAGING
2011; 33 (2): 119-133
Abstract
We demonstrate a novel imaging technique, named short-lag spatial coherence (SLSC) imaging, which uses short distance (or lag) values of the coherence function of backscattered ultrasound to create images. Simulations using Field II are used to demonstrate the detection of lesions of varying sizes and contrasts with and without acoustical clutter in the backscattered data. B-mode and SLSC imaging are shown to be nearly equivalent in lesion detection, based on the contrast-to-noise ratio (CNR) of the lesion, in noise-free conditions. The CNR of the SLSC image, however, can be adjusted to achieve an optimal value at the expense of image smoothness and resolution. In the presence of acoustic clutter, SLSC imaging yields significantly higher CNR than B-mode imaging and maintains higher image quality than B-mode with increasing noise. Compression of SLSC images is shown to be required under high-noise conditions but is unnecessary under no- and low-noise conditions. SLSC imaging is applied to in vivo imaging of the carotid sheath and demonstrates significant gains in CNR as well as visualization of arterioles in the carotid sheath. SLSC imaging has a potential application to clutter rejection in ultrasonic imaging.
View details for Web of Science ID 000291961800003
View details for PubMedID 21710827
- Improved detectability of hypoechoic regions with short-lag spatial coherence imaging SPIE Medical Imaging 2011
- A novel imaging technique based on the spatial coherence of backscattered waves: Demonstration in the presence of acoustical clutter SPIE Medical Imaging 2011
- Development and evaluation of pulse sequences for freehand ARFI imaging IEEE International Ultrasonics Symposium 2011: 1281–1284
- Characteristics of the spatial coherence function from backscattered ultrasound with phase aberration and reverberation clutter IEEE International Ultrasonics Symposium 2011: 684–687
- Resolution, apodization, and noise considerations in short-lag spatial coherence (SLSC) images compared to B-mode images IEEE International Ultrasonics Symposium (IUS) 2011
- Comparison of ultrasonic measurements of nulliparous versus multiparous cervices IEEE International Ultrasonics Symposium (IUS) 2011: 1349–1352
- In Vivo application of SLSC imaging in human liver IEEE International Ultrasonics Symposium (IUS) 2011: 2130–2133
- Ultrasound imaging utilizing the short-lag spatial coherence of backscattered echoes IEEE International Ultrasonics Symposium 2010: 987–990
- The effects of image degradation on ultrasound-guided HIFU IEEE International Ultrasonics Symposium (IUS) 2010: 809–812
- Impact of the structure of subcutaneous tissue on ultrasonic clutter IEEE International Ultrasonics Symposium 2010: 2167–2170
- Impact of clutter levels on spatial covariance: Implications for imaging IEEE International Ultrasonics Symposium (IUS) 2010: 2171–2174
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A Motion-Based Approach to Abdominal Clutter Reduction
IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL
2009; 56 (11): 2437-2449
Abstract
In ultrasound images, clutter is a noise artifact most easily observed in anechoic or hypoechoic regions. It appears as diffuse echoes overlying anatomical structures of diagnostic importance, obscuring tissue borders and reducing image contrast. A novel clutter reduction method for abdominal images is proposed, wherein the abdominal wall is displaced during successive-frame image acquisitions. A region of clutter distal to the abdominal wall was observed to move with the abdominal wall, and finite impulse response (FIR) and blind source separation (BSS) motion filters were implemented to reduce this clutter. The proposed clutter reduction method was tested in simulated and phantom data and applied to fundamental and harmonic in vivo bladder and liver images from 2 volunteers. Results show clutter reductions ranging from 0 to 18 dB in FIR-filtered images and 9 to 27 dB in BSS-filtered images. The contrast-to-noise ratio was improved by 21 to 68% and 44 to 108% in FIR- and BSS-filtered images, respectively. Improvements in contrast ranged from 4 to 12 dB. The method shows promise for reducing clutter in other abdominal images.
View details for DOI 10.1109/TUFFC.2009.1331
View details for Web of Science ID 000271478600012
View details for PubMedID 19942530
View details for PubMedCentralID PMC2835155
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Comparison of 3-D Multi-Lag Cross-Correlation and Speckle Brightness Aberration Correction Algorithms on Static and Moving Targets
IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL
2009; 56 (10): 2157-2166
Abstract
Phase correction has the potential to increase the image quality of 3-D ultrasound, especially transcranial ultrasound. We implemented and compared 2 algorithms for aberration correction, multi-lag cross-correlation and speckle brightness, using static and moving targets. We corrected three 75-ns rms electronic aberrators with full-width at half-maximum (FWHM) auto-correlation lengths of 1.35, 2.7, and 5.4 mm. Cross-correlation proved the better algorithm at 2.7 and 5.4 mm correlation lengths (P < 0.05). Static cross-correlation performed better than moving-target cross-correlation at the 2.7 mm correlation length (P < 0.05). Finally, we compared the static and moving-target cross-correlation on a flow phantom with a skull casting aberrator. Using signal from static targets, the correction resulted in an average contrast increase of 22.2%, compared with 13.2% using signal from moving targets. The contrast-to-noise ratio (CNR) increased by 20.5% and 12.8% using static and moving targets, respectively. Doppler signal strength increased by 5.6% and 4.9% for the static and moving-targets methods, respectively.
View details for DOI 10.1109/TUFFC.2009.1298
View details for Web of Science ID 000270592000012
View details for PubMedID 19942503
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On the Feasibility of Imaging Peripheral Nerves Using Acoustic Radiation Force Impulse Imaging
ULTRASONIC IMAGING
2009; 31 (3): 172-182
Abstract
Regional anesthesia is preferred over general anesthesia for many surgical procedures; however, challenges associated with poor image guidance limit its widespread acceptance as a viable alternative. In B-mode ultrasound images, the current standard for guidance, nerves can be difficult to visualize due to their similar acoustic impedance with surrounding tissues and needles must be aligned within the imaging plane at limited angles of approach that can impede successful peripheral nerve anesthesia. These challenges lead to inadequate regional anesthesia, necessitating intraoperative interventions, and can cause complications, including hemorrhage, intraneural injections and even nerve paralysis. ARFI imaging utilizes acoustic radiation force to generate images that portray relative tissue stiffness differences. Peripheral nerves are typically surrounded by many different tissue types (e.g., muscle, fat and fascia) that provide a mechanical basis for improved image contrast using ARFI imaging over conventional B-mode images. ARFI images of peripheral nerves and needles have been generated in cadaveric specimens and in humans in vivo. Contrast improvements of >600% have been achieved for distal sciatic nerve structures. The brachial plexus has been visualized with improved contrast over B-mode images in vivo during saline injection and ARFI images can delineate nerve bundle substructures to aid injection guidance. Physiologic motion during ARFI imaging of nerves near arterial structures has been successfully suppressed using ECG-triggered image acquisition and motion filters. This work demonstrates the feasibility of using ARFI imaging to improve the visualization of peripheral nerves during regional anesthesia procedures.
View details for Web of Science ID 000269642100003
View details for PubMedID 19771960
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Lower-Limb Vascular Imaging with Acoustic Radiation Force Elastography: Demonstration of In Vivo Feasibility
IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL
2009; 56 (5): 931-944
Abstract
Acoustic radiation force impulse (ARFI) imaging characterizes the mechanical properties of tissue by measuring displacement resulting from applied ultrasonic radiation force. In this paper, we describe the current status of ARFI imaging for lower-limb vascular applications and present results from both tissue-mimicking phantoms and in vivo experiments. Initial experiments were performed on vascular phantoms constructed with polyvinyl alcohol for basic evaluation of the modality. Multilayer vessels and vessels with compliant occlusions of varying plaque load were evaluated with ARFI imaging techniques. Phantom layers and plaque are well resolved in the ARFI images, with higher contrast than B-mode, demonstrating the ability of ARFI imaging to identify regions of different mechanical properties. Healthy human subjects and those with diagnosed lower-limb peripheral arterial disease were imaged. Proximal and distal vascular walls are well visualized in ARFI images, with higher mean contrast than corresponding B-mode images. ARFI images reveal information not observed by conventional ultrasound and lend confidence to the feasibility of using ARFI imaging during lower-limb vascular workup.
View details for DOI 10.1109/TUFFC.2009.1126
View details for Web of Science ID 000265371600007
View details for PubMedID 19473912
View details for PubMedCentralID PMC2813206
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ACOUSTIC RADIATION FORCE IMPULSE IMAGING FOR NONINVASIVE CHARACTERIZATION OF CAROTID ARTERY ATHEROSCLEROTIC PLAQUES: A FEASIBILITY STUDY
ULTRASOUND IN MEDICINE AND BIOLOGY
2009; 35 (5): 707-716
Abstract
Atherosclerotic disease in the carotid artery is a risk factor for stroke. The susceptibility of atherosclerotic plaque to rupture, however, is challenging to determine by any imaging method. In this study, acoustic radiation force impulse (ARFI) imaging is applied to atherosclerotic disease in the carotid artery to determine the feasibility of using ARFI to noninvasively characterize carotid plaques. ARFI imaging is a useful method for characterizing the local mechanical properties of tissue and is complementary to B-mode imaging. ARFI imaging can readily distinguish between stiff and soft regions of tissue. High-resolution images of both homogeneous and heterogeneous plaques were observed. Homogeneous plaques were indistinguishable in stiffness from vascular tissue. However, they showed thicknesses much greater than normal vascular tissue. In heterogeneous plaques, large and small soft regions were observed, with the smallest observed soft region having a diameter of 0.5 mm. A stiff cap was observed covering the large soft tissue region, with the cap thickness ranging from 0.7-1.3 mm.
View details for DOI 10.1016/j.ultrasmedbio.2008.11.001
View details for Web of Science ID 000265990500001
View details for PubMedID 19243877
View details for PubMedCentralID PMC2813205
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A Heterogeneous Nonlinear Attenuating Full-Wave Model of Ultrasound
IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL
2009; 56 (3): 474-488
Abstract
A full-wave equation that describes nonlinear propagation in a heterogeneous attenuating medium is solved numerically with finite differences in the time domain (FDTD). Three-dimensional solutions of the equation are verified with water tank measurements of a commercial diagnostic ultrasound transducer and are shown to be in excellent agreement in terms of the fundamental and harmonic acoustic fields and the power spectrum at the focus. The linear and nonlinear components of the algorithm are also verified independently. In the linear nonattenuating regime solutions match results from Field II, a well established software package used in transducer modeling, to within 0.3 dB. Nonlinear plane wave propagation is shown to closely match results from the Galerkin method up to 4 times the fundamental frequency. In addition to thermoviscous attenuation we present a numerical solution of the relaxation attenuation laws that allows modeling of arbitrary frequency dependent attenuation, such as that observed in tissue. A perfectly matched layer (PML) is implemented at the boundaries with a numerical implementation that allows the PML to be used with high-order discretizations. A -78 dB reduction in the reflected amplitude is demonstrated. The numerical algorithm is used to simulate a diagnostic ultrasound pulse propagating through a histologically measured representation of human abdominal wall with spatial variation in the speed of sound, attenuation, nonlinearity, and density. An ultrasound image is created in silico using the same physical and algorithmic process used in an ultrasound scanner: a series of pulses are transmitted through heterogeneous scattering tissue and the received echoes are used in a delay-and-sum beam-forming algorithm to generate a images. The resulting harmonic image exhibits characteristic improvement in lesion boundary definition and contrast when compared with the fundamental image. We demonstrate a mechanism of harmonic image quality improvement by showing that the harmonic point spread function is less sensitive to reverberation clutter.
View details for DOI 10.1109/TUFFC.2009.1066
View details for Web of Science ID 000263479600008
View details for PubMedID 19411208
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Image Quality, Tissue Heating, and Frame Rate Trade-offs in Acoustic Radiation Force Impulse Imaging
IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL
2009; 56 (1): 63-76
Abstract
The real-time application of acoustic radiation force impulse (ARFI) imaging requires both short acquisition times for a single ARFI image and repeated acquisition of these frames. Due to the high energy of pulses required to generate appreciable radiation force, however, repeated acquisitions could result in substantial transducer face and tissue heating. We describe and evaluate several novel beam sequencing schemes which, along with parallel-receive acquisition, are designed to reduce acquisition time and heating. These techniques reduce the total number of radiation force impulses needed to generate an image and minimize the time between successive impulses. We present qualitative and quantitative analyses of the trade-offs in image quality resulting from the acquisition schemes. Results indicate that these techniques yield a significant improvement in frame rate with only moderate decreases in image quality. Tissue and transducer face heating resulting from these schemes is assessed through finite element method modeling and thermocouple measurements. Results indicate that heating issues can be mitigated by employing ARFI acquisition sequences that utilize the highest track-to-excitation ratio possible.
View details for DOI 10.1109/TUFFC.2009.1006
View details for Web of Science ID 000262561600009
View details for PubMedID 19213633
View details for PubMedCentralID PMC3764610
- Acoustic radiation force impulse imaging of cardiac tissue IEEE International Ultrasonics Symposium (IUS) 2009: 163–168
- Clutter and sources of image degradation in fun- damental and harmonic ultrasound imaging IEEE International Ultrasonics Symposium (IUS) 2009: 2300–2303
- Simulation and experimental analysis of ultrasonic clutter in fundamental and harmonic imaging SPIE Medical Imaging 2009
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Quantitative Assessment of the Magnitude, Impact and Spatial Extent of Ultrasonic Clutter
ULTRASONIC IMAGING
2008; 30 (3): 151-168
Abstract
Clutter is anoise artifact in ultrasound images that appears as diffuse echoes overlying signals of interest. It is most easily observed in anechoic or hypoechoic regions, such as in cysts, blood vessels, amniotic fluid, and urine-filled bladders. Clutter often obscures targets of interest and complicates anatomical measurements. An analytical expression that characterizes the extent to which clutter degrades lesion contrast was derived and compared to the measured contrast loss due to clutter in a bladder phantom. Simulation and phantom studies were performed to determine ideal and achievable signal-to-clutter ratios. In vivo clutter magnitudes were quantified in simultaneously-acquired fundamental and harmonic bladder images from five volunteers. Clutter magnitudes ranged from -30 dB to 0 dB, relative to the mean signal of the bladder wall. For this range of clutter magnitudes, the analytical expression predicts a contrast loss of 0-45 dB for lesions with clutter-free contrasts of 6-48 dB. A pixel-wise comparison of simultaneously-acquired fundamental and harmonic bladder images from each volunteer revealed an overall signal reduction in harmonic images, with average reductions ranging from 11-18 dB in the bladder interior and 9-11 dB in the tissue surrounding the bladder. Harmonic imaging did not reduce clutter in all volunteers.
View details for Web of Science ID 000262274000002
View details for PubMedID 19149461
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Quantifying hepatic shear modulus in vivo using acoustic radiation force
ULTRASOUND IN MEDICINE AND BIOLOGY
2008; 34 (4): 546-558
Abstract
The speed at which shear waves propagate in tissue can be used to quantify the shear modulus of the tissue. As many groups have shown, shear waves can be generated within tissues using focused, impulsive, acoustic radiation force excitations, and the resulting displacement response can be ultrasonically tracked through time. The goals of the work herein are twofold: (i) to develop and validate an algorithm to quantify shear wave speed from radiation force-induced, ultrasonically-detected displacement data that is robust in the presence of poor displacement signal-to-noise ratio and (ii) to apply this algorithm to in vivo datasets acquired in human volunteers to demonstrate the clinical feasibility of using this method to quantify the shear modulus of liver tissue in longitudinal studies. The ultimate clinical application of this work is noninvasive quantification of liver stiffness in the setting of fibrosis and steatosis. In the proposed algorithm, time-to-peak displacement data in response to impulsive acoustic radiation force outside the region of excitation are used to characterize the shear wave speed of a material, which is used to reconstruct the material's shear modulus. The algorithm is developed and validated using finite element method simulations. By using this algorithm on simulated displacement fields, reconstructions for materials with shear moduli (mu) ranging from 1.3-5 kPa are accurate to within 0.3 kPa, whereas stiffer shear moduli ranging from 10-16 kPa are accurate to within 1.0 kPa. Ultrasonically tracking the displacement data, which introduces jitter in the displacement estimates, does not impede the use of this algorithm to reconstruct accurate shear moduli. By using in vivo data acquired intercostally in 20 volunteers with body mass indices ranging from normal to obese, liver shear moduli have been reconstructed between 0.9 and 3.0 kPa, with an average precision of +/-0.4 kPa. These reconstructed liver moduli are consistent with those reported in the literature (mu = 0.75-2.5 kPa) with a similar precision (+/-0.3 kPa). Repeated intercostal liver shear modulus reconstructions were performed on nine different days in two volunteers over a 105-day period, yielding an average shear modulus of 1.9 +/- 0.50 kPa (1.3-2.5 kPa) in the first volunteer and 1.8 +/- 0.4 kPa (1.1-3.0 kPa) in the second volunteer. The simulation and in vivo data to date demonstrate that this method is capable of generating accurate and repeatable liver stiffness measurements and appears promising as a clinical tool for quantifying liver stiffness.
View details for DOI 10.1016/j.ultrasmedbio.2007.10.009
View details for Web of Science ID 000254766500005
View details for PubMedID 18222031
View details for PubMedCentralID PMC2362504
- The next wave Enterprise Imaging & Therapeutic Radiology Management 2008; 18 (7): 53-54
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Magnitude, Origins, and Reduction of Abdominal Ultrasonic Clutter
2008 IEEE ULTRASONICS SYMPOSIUM, VOLS 1-4 AND APPENDIX
2008: 50-53
View details for Web of Science ID 000268845800013
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Three-Dimensional Acoustic Radiation Force Impulse (ARFI) Imaging of Human Prostates in vivo
2008 IEEE ULTRASONICS SYMPOSIUM, VOLS 1-4 AND APPENDIX
2008: 540-543
View details for Web of Science ID 000268845800131
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Direction of arrival filters for improved aberration estimation
ULTRASONIC IMAGING
2008; 30 (1): 1-20
Abstract
Successful adaptive imaging requires accurate measurements of the aberration profile across the array surface. Two-dimensional spatial filters are used to obtain more accurate estimates of aberrating layers by suppressing wavefronts emanating from off-axis scatterers. Application of these filters to the rf signals of the individual elements rejects wavefronts arriving from angles other than the look direction of the array and results in an increase in element-to-element correlation. Spatial filtering reduced the amount of error in the measured aberration profiles and adaptive spatial filtering further improved the estimates. The improvements in aberration estimation obtained with these methods are verified using simulations and experiments in tissue-mimicking phantoms. The technique is applied to signals obtained from in vivo human thyroid.
View details for Web of Science ID 000256552700001
View details for PubMedID 18564593
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A parallel tracking method for acoustic radiation force impulse imaging
IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL
2007; 54 (2): 301-312
Abstract
Radiation force-based techniques have been developed by several groups for imaging the mechanical properties of tissue. Acoustic Radiation Force Impulse (ARFI) imaging is one such method that uses commercially available scanners to generate localized radiation forces in tissue. The response of the tissue to the radiation force is determined using conventional B-mode imaging pulses to track micron-scale displacements in tissue. Current research in ARFI imaging is focused on producing real-time images of tissue displacements and related mechanical properties. Obstacles to producing a real-time ARFI imaging modality include data acquisition, processing power, data transfer rates, heating of the transducer, and patient safety concerns. We propose a parallel receive beamforming technique to reduce transducer heating and patient acoustic exposure, and to facilitate data acquisition for real-time ARFI imaging. Custom beam sequencing was used with a commercially available scanner to track tissue displacements with parallel-receive beamforming in tissue-mimicking phantoms. Using simulations, the effects of material properties on parallel tracking are observed. Transducer and tissue heating for parallel tracking are compared to standard ARFI beam sequencing. The effects of tracking beam position and size of the tracked region are also discussed in relation to the size and temporal response of the region of applied force, and the impact on ARFI image contrast and signal-to-noise ratio are quantified.
View details for DOI 10.1109/TUFFC.2007.244
View details for Web of Science ID 000243920900010
View details for PubMedID 17328327
View details for PubMedCentralID PMC1810393
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An ultrasound research interface for a clinical system (vol 53, pg 1759, 2006)
IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL
2007; 54 (1): 198-210
Abstract
Under a contract with the National Cancer Institute, we have developed a research interface to an ultrasound system. This ultrasound research interface (URI) is an optional feature providing several basic capabilities not normally available on a clinical scanner. The URI can store high-quality beamformed radio-frequency data to file for off-line processing. Also, through an integrated user interface, the user is provided additional control over the B-mode receive aperture and color flow ensemble size. A third major capability is the ability to record and playback macro files. In this paper, we describe the URI and illustrate its use on three research examples: elastography, computed tomography, and spatial compounding.
View details for DOI 10.1109/TUFFC.2007.226
View details for Web of Science ID 000243042700021
View details for PubMedID 17225815
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Radiation force imaging: Challenges and opportunities
MEDICAL IMAGING 2007: ULTRASONIC IMAGING AND SIGNAL PROCESSING
2007; 6513
View details for DOI 10.1117/12.719470
View details for Web of Science ID 000247373000012
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Transthoracic cardiac acoustic radiation force impulse imaging: A feasibility study
2007 IEEE ULTRASONICS SYMPOSIUM PROCEEDINGS, VOLS 1-6
2007: 448-451
View details for Web of Science ID 000254281800106
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Clutter from multiple scattering and aberration in a nonlinear medium
2007 IEEE ULTRASONICS SYMPOSIUM PROCEEDINGS, VOLS 1-6
2007: 1736-1739
View details for Web of Science ID 000254281801185
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On the potential for guidance of ablation therapy using acoustic radiation force impulse imaging
2007 4TH IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING : MACRO TO NANO, VOLS 1-3
2007: 1116-1119
View details for Web of Science ID 000252957300280
- Clinical applications of acoustic radiation force impulse imaging 19th International Congress on Acoustics 2007: 5940–5945
- Magnitude, origins, and reduction of abdominal ultrasonic clutter IEEE Ultrasonics Symposium (IUS) 2007: 50–53
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Adaptive imaging on a diagnostic ultrasound scanner at quasi real-time rates
IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL
2006; 53 (10): 1832-1843
Abstract
Constructing an ultrasonic imaging system capable of compensating for phase errors in real-time is a significant challenge in adaptive imaging. We present a versatile adaptive imaging system capable of updating arrival time profiles at frame rates of approximately 2 frames per second (fps) with 1-D arrays and up to 0.81 fps for 1.75-D arrays, depending on the desired near-field phase correction algorithm. A novel feature included in this system is the ability to update the aberration profile at multiple beam locations for 1-D arrays. The features of this real-time adaptive imaging system are illustrated in tissue-mimicking phantoms with physical near-field phase screens and evaluated in clinical breast tissue with a 1.75-D array. The contrast-to-noise ratio (CNR) of anechoic cysts was shown to improve dramatically in the tissue-mimicking phantoms. In breast tissue, the width of point-like targets showed significant improvement: a reduction of 26.2% on average. Brightness of these targets, however, marginally decreased by 3.9%. For larger structures such as cysts, little improvement in features and CNR were observed, which is likely a result of the system assuming an infinite isoplanatic patch size for the 1.75-D arrays. The necessary requirements for constructing a real-time adaptive imaging system are also discussed.
View details for DOI 10.1109/TUFFC.2006.115
View details for Web of Science ID 000240860200013
View details for PubMedID 17036791
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Phase-aberration correction with a 3-D ultrasound scanner: Feasibility study
IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL
2006; 53 (8): 1432-1439
Abstract
We tested the feasibility of using adaptive imaging, namely phase-aberration correction, with two-dimensional (2-D) arrays and real-time, 3-D ultrasound. Because of the high spatial frequency content of aberrators, 2-D arrays, which generally have smaller pitch and thus higher spatial sampling frequency, and 3-D imaging show potential to improve the performance of adaptive imaging. Phase-correction algorithms improve image quality by compensating for tissue-induced errors in beamforming. Using the illustrative example of transcranial ultrasound, we have evaluated our ability to perform adaptive imaging with a real-time, 3-D scanner. We have used a polymer casting of a human temporal bone, root-mean-square (RMS) phase variation of 45.0 ns, full-width-half-maximum (FWHM) correlation length of 3.35 mm, and an electronic aberrator, 100 ns RMS, 3.76 mm correlation, with tissue phantoms as illustrative examples of near-field, phase-screen aberrators. Using the multilag, least-squares, cross-correlation method, we have shown the ability of 3-D adaptive imaging to increase anechoic cyst identification, image brightness, contrast-to-speckle ratio (CSR), and, in 3-D color Doppler experiments, the ability to visualize flow. For a physical aberrator skull casting we saw CSR increase by 13% from 1.01 to 1.14, while the number of detectable cysts increased from 4.3 to 7.7.
View details for Web of Science ID 000239405700006
View details for PubMedID 16921895
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Rapid tracking of small displacements with ultrasound
IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL
2006; 53 (6): 1103-1117
Abstract
Time-delay estimators, such as normalized cross correlation and phase-shift estimation, form the computational basis for elastography, blood flow measurements, and acoustic radiation force impulse (ARFI) imaging. This paper examines the performance of these algorithms for small displacements (less than half the ultrasound pulse wavelength). The effects of noise, bandwidth, stationary echoes, kernel size, downsampling, interpolation, and quadrature demodulation on the accuracy of the time delay estimates are measured in terms of bias and jitter. Particular attention is given to the accuracy and resolution of the displacement measurements and to the computational efficiency of the algorithms. In most cases, Loupas' two-dimensional (2-D) autocorrelator performs as well as the gold standard, normalized cross correlation. However, Loupas' algorithm's calculation time is significantly faster, and it is particularly suited to operate on the signal data format most commonly used in ultrasound scanners. These results are used to implement a real-time ARFI imaging system using a commercial ultrasound scanner and a computer cluster. Images processed with the algorithms are examined in an ex vivo liver ablation study.
View details for Web of Science ID 000238493000003
View details for PubMedID 16846143
- Phase aberration correction on a 3D ultrasound scanner using RF speckle from moving targets IEEE Ultrasonics Symposium (IUS) 2006: 120–123
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Parallel Tracking and Other Methods for Real-Time ARFI Imaging Systems
2006 IEEE ULTRASONICS SYMPOSIUM, VOLS 1-5, PROCEEDINGS
2006: 1005-1008
View details for Web of Science ID 000260407800240
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3D Acoustic Radiation Force Impulse (ARFI) Imaging using a 2D Matrix Array: Feasibility Study
2006 IEEE ULTRASONICS SYMPOSIUM, VOLS 1-5, PROCEEDINGS
2006: 1144-1147
View details for Web of Science ID 000260407800272
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Characterization of In Vivo Atherosclerotic Plaques in the Carotid Artery with Acoustic Radiation Force Impulse Imaging
2006 IEEE ULTRASONICS SYMPOSIUM, VOLS 1-5, PROCEEDINGS
2006: 706-709
View details for Web of Science ID 000260407800169
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Shear Wave Velocity Estimation Using Acoustic Radiation Force Impulsive Excitation in Liver In Vivo
2006 IEEE ULTRASONICS SYMPOSIUM, VOLS 1-5, PROCEEDINGS
2006: 1156-1160
View details for Web of Science ID 000260407800275
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Spatial and temporal aberrator stability for real-time adaptive imaging
IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL
2005; 52 (9): 1504-1517
Abstract
Reported real-time adaptive imaging systems use near-field phase correction techniques, which are desired because of their simple implementation and their compatibility with current system architectures. Aberrator stability is important to adaptive imaging because it defines the spatial and temporal limits for which the near-field phase estimates are valid. Spatial aberrator stability determines the required spatial sampling of the aberrator, and temporal aberrator stability determines the length of time for which the aberration profile can be used. In this study, the spatial and temporal stability of clinically measured aberrations is reported for breast, liver, and thyroid tissue. Cross correlations between aberration estimates revealed aberrators to have azimuthal isoplanatic patch sizes of 0.44, 0.28, and 0.20 mm for breast, liver, and thyroid tissue, respectively, at 80% correlation. Axial isoplanatic patch sizes were 1.26, 0.76, and 1.80 mm for the same tissue, respectively, at 80% correlation. Temporal stability at 80% correlation was determined to be greater than 1.5 seconds for breast and thyroid tissue, and 0.65 seconds for the liver. The effects of noise, motion, and target nonuniformity on aberrator stability are characterized by simulations and experiments in tissue mimicking phantoms.
View details for Web of Science ID 000232420000010
View details for PubMedID 16285449
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Adaptive imaging and spatial compounding in the presence of aberration
IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL
2005; 52 (7): 1131-1144
Abstract
Spatial compounding reduces speckle and increases image contrast by incoherently averaging images acquired at different viewing angles. Adaptive imaging improves contrast and resolution by compensating for tissue-induced phase errors. Aberrator strength and spatial frequency content markedly impact the desirable operating characteristics and performance of these methods for improving image quality. Adaptive imaging, receive-spatial compounding, and a combination of these two methods are presented in contrast and resolution tasks under various aberration characteristics. All three imaging methods yield increases in the contrast-to-noise ratio (CNR) of anechoic cysts; however, the improvements vary depending on the properties of the aberrating layer. Phase correction restores image spatial frequencies, and the addition of compounding opposes the restoration of image spatial frequencies. Lesion signal-to-noise ratio (SNR), an image quality metric for predicting lesion detectability, shows that combining spatial compounding with phase correction yields the maximum detectability when the aberrator strength or spatial frequency content is high. Examples of these modes are presented in thyroid tissue.
View details for Web of Science ID 000231186900008
View details for PubMedID 16212252
- Ultrasonic beamforming and image formation Categorical Course in Diagnostic Radiology Physics: Multidimensional Image Processing, Analysis, and Display 2005: 63-71
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Real-time acoustic radiation force impulse imaging
MEDICAL IMAGING 2005: ULTRASONIC IMAGING AND SIGNAL PROCESSING
2005; 5750: 226-235
View details for DOI 10.1117/12.595846
View details for Web of Science ID 000229069500025
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Phase correction of skull aberration with 1.75-D and 2-D Arrays using speckle targets
2005 IEEE ULTRASONICS SYMPOSIUM, VOLS 1-4
2005: 1323-1326
View details for Web of Science ID 000236090701147
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Rapid tracking of small displacements using ultrasound
2005 IEEE ULTRASONICS SYMPOSIUM, VOLS 1-4
2005: 2062-2065
View details for Web of Science ID 000236090703049
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Clinical evaluation of combined spatial compounding and adaptive imaging in breast tissue
ULTRASONIC IMAGING
2004; 26 (4): 203-216
Abstract
When spatial compounding is applied to targets with significant acoustic velocity inhomogeneities, the correlation between speckle patterns of the images to be averaged decreases, thereby increasing the speckle reduction nominally obtained. Phase correction applied to these targets improves the coherence of the wavefield and restores image spatial frequencies. Combining these two modes can be used to effectively increase the contrast-to-noise ratio (CNR) of imaging targets and improve the general image quality of these targets over spatial compounding alone. This paper presents a clinical evaluation of combined spatial compounding and adaptive imaging in breast tissue and compares this combined technique to conventional imaging and to adaptive imaging and spatial compounding operating independently. Experiments were performed on a 1.75-D, 8 x 96 array attached to a commercially-available scanner. Cysts, microcalcifications and other breast structures were targeted in order to assess the impact of the combined mode on CNR, target width, target brightness and target peak-to-background ratio (PBR). In general, phase correction improved cyst CNR by 7.7%, decreased target width by 18.7%, increased target brightness by 30.1% and increased PBR by 17.9%. Compounding alone, using three overlapping 9.71 mm subapertures, increased cyst CNR by 24.6%, but increased target width by 25.4% and decreased PBR by 13.2%. Combining both modes, however, increased cyst CNR by 32.6%, inappreciably increased target width by 1.1% and marginally decreased PBR by 2.8%. The increase in target brightness with this combined mode was 20.0%
View details for Web of Science ID 000232346800001
View details for PubMedID 15864979
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Real time 3D ultrasound imaging of the brain
2004 IEEE ULTRASONICS SYMPOSIUM, VOLS 1-3
2004: 110-113
View details for Web of Science ID 000228557207028
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Spatial and temporal stability of tissue induced aberration
2004 IEEE ULTRASONICS SYMPOSIUM, VOLS 1-3
2004: 222-226
View details for Web of Science ID 000228557207055
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Resolution improvement of point targets by real-time phase aberration correction: in vivo results
2004 IEEE ULTRASONICS SYMPOSIUM, VOLS 1-3
2004: 235-238
View details for Web of Science ID 000228557207058
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Arterial stiffness measurements with acoustic radiation force impulse imaging
Medical Imaging 2003 Conference
SPIE-INT SOC OPTICAL ENGINEERING. 2003: 235–241
View details for Web of Science ID 000183593400026
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Real time adaptive imaging with 1.75D, high frequency arrays
2003 IEEE ULTRASONICS SYMPOSIUM PROCEEDINGS, VOLS 1 AND 2
2003: 335-338
View details for Web of Science ID 000189492100073
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Off-axis scatterer filters for improved aberration measurements
2003 IEEE ULTRASONICS SYMPOSIUM PROCEEDINGS, VOLS 1 AND 2
2003: 343-347
View details for Web of Science ID 000189492100075
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Performance evaluation of spatial compounding in the presence of aberration and adaptive Imaging
Medical Imaging 2003 Conference
SPIE-INT SOC OPTICAL ENGINEERING. 2003: 1–11
View details for Web of Science ID 000183593400001
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Performance evaluation of combined spatial compounding/adaptive imaging: Simulation, phantom and clinical trials
2003 IEEE ULTRASONICS SYMPOSIUM PROCEEDINGS, VOLS 1 AND 2
2003: 1532-1536
View details for Web of Science ID 000189492100353
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Shear Wave Anisotropy Imaging
2003 IEEE ULTRASONICS SYMPOSIUM PROCEEDINGS, VOLS 1 AND 2
2003: 921-924
View details for Web of Science ID 000189492100206
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Synthetic elevation beamforming and image acquisition capabilities using an 8 x 128 1.75D array
IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL
2003; 50 (1): 40-57
Abstract
Ultrasound imaging can be improved with higher order arrays through elevation dynamic focusing in future, higher channel count systems. However, modifications to current system hardware could yield increased imaging depth-of-field with 1.75D arrays (arrays with individually addressable elements, several rows in elevation) through the use of synthetic elevation imaging. We describe synthetic elevation beamforming methods and its implementation with our 8 x 128, 1.75D array (Tetrad Co., Englewood, CO). This array has been successfully interfaced with a Siemens Elegra scanner for summed RF and single channel RF data acquisition. Individual rows of the 8 x 128 array can be controlled, allowing for different aperture configurations on transmit and receive beamforming. Advantages of using this array include finer elevation sampling, a larger array footprint for aberration measurements, and elevation focusing. We discuss system tradeoffs that occur in implementing synthetic receive and synthetic transmit/receive elevation focusing and show significant image quality improvements in simulation and phantom data results.
View details for Web of Science ID 000180768900004
View details for PubMedID 12578135
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Array elevation requirements in phase aberration correction using an 8x128 1.75D array
MEDICAL IMAGE 2002: ULTRASONIC IMAGING AND SIGNAL PROCESSING
2002; 4687: 79-90
View details for Web of Science ID 000176292800008
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Acoustic radiation force impulse imaging: Remote palpation of the mechanical properties of tissue
2002 IEEE ULTRASONICS SYMPOSIUM PROCEEDINGS, VOLS 1 AND 2
2002: 1821-1830
View details for Web of Science ID 000182111700410
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High resolution ultrasound beamforming using synthetic and adaptive imaging techniques
2002 IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING, PROCEEDINGS
2002: 433-436
View details for Web of Science ID 000178000400109
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Aberration measurement and correction with a high resolution 1.75D array
2001 IEEE ULTRASONICS SYMPOSIUM PROCEEDINGS, VOLS 1 AND 2
2001: 1489-1494
View details for Web of Science ID 000176890800327
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Effects of Phase Aberration Correction Methods on the Minimum Variance Beamformer
2016 IEEE 38th Annual International Conference of the Engineering in Medicine and Biology Society (EMBC)
2016: 3231–34
View details for DOI 10.1109/EMBC.2016.7591417