Phillip DiGiacomo

All Publications

• Rigid Motion Correction for Brain PET/MR Imaging Using Optical Tracking IEEE TRANSACTIONS ON RADIATION AND PLASMA MEDICAL SCIENCES Spangler-Bickell, M. G., Khalighi, M., Hoo, C., DiGiacomo, P., Maclaren, J., Aksoy, M., Rettmann, D., Bammer, R., Zaharchuk, G., Zeineh, M., Jansen, F. 2019; 3 (4): 498–503

  View details for DOI 10.1109/TRPMS.2018.2878978

  View details for Web of Science ID 000473623200012

• Rigid Motion Correction for Brain PET/MR Imaging using Optical Tracking. IEEE transactions on radiation and plasma medical sciences Spangler-Bickell, M. G., Khalighi, M. M., Hoo, C., DiGiacomo, P. S., Maclaren, J., Aksoy, M., Rettmann, D., Bammer, R., Zaharchuk, G., Zeineh, M., Jansen, F. 2019; 3 (4): 498–503

  Abstract

  A significant challenge during high-resolution PET brain imaging on PET/MR scanners is patient head motion. This challenge is particularly significant for clinical patient populations who struggle to remain motionless in the scanner for long periods of time. Head motion also affects the MR scan data. An optical motion tracking technique, which has already been demonstrated to perform MR motion correction during acquisition, is used with a list-mode PET reconstruction algorithm to correct the motion for each recorded event and produce a corrected reconstruction. The technique is demonstrated on real Alzheimer's disease patient data for the GE SIGNA PET/MR scanner.

  View details for DOI 10.1109/TRPMS.2018.2878978

  View details for PubMedID 31396580

  View details for PubMedCentralID PMC6686883

• A Lagrangian cylindrical coordinate system for characterizing dynamic surface geometry of tubular anatomic structures. Medical & biological engineering & computing Lundh, T., Suh, G., DiGiacomo, P., Cheng, C. 2018

  Abstract

  Vascular morphology characterization is useful for disease diagnosis, risk stratification, treatment planning, and prediction of treatment durability. To quantify the dynamic surface geometry of tubular-shaped anatomic structures, we propose a simple, rigorous Lagrangian cylindrical coordinate system to monitor well-defined surface points. Specifically, the proposed system enables quantification of surface curvature and cross-sectional eccentricity. Using idealized software phantom examples, we validate the method's ability to accurately quantify longitudinal and circumferential surface curvature, as well as eccentricity and orientation of eccentricity. We then apply the method to several medical imaging data sets of human vascular structures to exemplify the utility of this coordinate system for analyzing morphology and dynamic geometric changes in blood vessels throughout the body. Graphical abstract Pointwise longitudinal curvature of a thoracic aortic endograft surface for systole and diastole, with their absolute difference.

  View details for PubMedID 29500737