All Publications


  • Glean: Structured Extractions from Templatic Documents PROCEEDINGS OF THE VLDB ENDOWMENT Tata, S., Potti, N., Wendt, J. B., Costa, L., Najork, M., Gunel, B. 2021; 14 (6): 997-1005
  • Optimal Broadband Noise Matching to Inductive Sensors: Application to Magnetic Particle Imaging IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS Zheng, B., Goodwill, P. W., Dixit, N., Xiao, D., Zhang, W., Gunel, B., Lu, K., Scott, G. C., Conolly, S. M. 2017; 11 (5): 1041–52

    Abstract

    Inductive sensor-based measurement techniques are useful for a wide range of biomedical applications. However, optimizing the noise performance of these sensors is challenging at broadband frequencies, owing to the frequency-dependent reactance of the sensor. In this work, we describe the fundamental limits of noise performance and bandwidth for these sensors in combination with a low-noise amplifier. We also present three equivalent methods of noise matching to inductive sensors using transformer-like network topologies. Finally, we apply these techniques to improve the noise performance in magnetic particle imaging, a new molecular imaging modality with excellent detection sensitivity. Using a custom noise-matched amplifier, we experimentally demonstrate an 11-fold improvement in noise performance in a small animal magnetic particle imaging scanner.

    View details for DOI 10.1109/TBCAS.2017.2712566

    View details for Web of Science ID 000419308500007

    View details for PubMedID 28742047

    View details for PubMedCentralID PMC5741315