Physics in Medicine

Presentations

• In Silico Prototyping for Intranasally Administered Agents for COVID-19 and Other Respiratory Pathogens

  ORAL

  April 9, 2022, 1:30 PM – April 9, 2022, 1:42 PM

  Publication: Lao, Y., Joseph-McCarthy, D., Chakravarty, A., Balivada, P. A., Ato, P., Ka, N. K., & Basu, S. (2020). Identifying the optimal parameters for sprayed and inhaled drug particulates for intranasal targeting of SARS-CoV-2 infection sites. arXiv preprint:2010.16325.

  Presenters

  • Zachary E Silfen

    • Boston University

  Authors

  • Zachary E Silfen

    • Boston University

  • Mohammad M.H. Akash

    • South Dakota State University

  • Mark G Cherepashensky

    • Boston University

  • Arijit Chakravarty

    • Fractal Therapeutics, Cambridge, MA

  • Saikat Basu

    • South Dakota State University

  • Diane Joseph-McCarthy

    • Boston University

  View abstract →

• Clinical Telemedical Measurement of Grip Strength Thresholds for Work-Related Injury Permanent Impairment Rating

  ORAL

  April 9, 2022, 1:42 PM – April 9, 2022, 1:54 PM

  Presenters

  • Jerry L Artz

    • Hamline University

  Authors

  • Jerry L Artz

    • Hamline University

  • Bruce Bolon

    • Hamline University

  • Zach Griebel

    • Hamline University

  • John Alchemy

    • Rate-Fast Corporation

  View abstract →

• Dosimetric Analysis of Breast Swelling During External Beam Radiotherapy using Biomechanical Deformation Modeling

  ORAL

  April 9, 2022, 1:54 PM – April 9, 2022, 2:06 PM

  Presenters

  • David M McClatchy

    • Massachusetts General Hospital

  Authors

  • David M McClatchy

    • Massachusetts General Hospital

  View abstract →

• Cost-Effective Depth-Encoding Methods for Time-of-Flight PET Scanners

  ORAL

  April 9, 2022, 2:06 PM – April 9, 2022, 2:18 PM

  Presenters

  • William J Matava

    • UT Austin
    • University of Texas at Austin

  Authors

  • William J Matava

    • UT Austin
    • University of Texas at Austin

  • Kyle T Klein

    • The University of Texas at Austin
    • University of Texas at Austin

  • Firas Abouzahr

    • University of Texas at Austin

  • Christopher Layden

    • University of Texas at Austin

  • Akhil Sadam

    • University of Texas at Austin

  • John Cesar

    • University of Texas at Austin

  • Shawn Park

    • University of Texas at Austin

  • Trang Do

    • University of Texas at Austin

  • Victoria Koptelova

    • University of Texas at Austin

  • Tri Truong

    • University of Texas at Austin

  • Stefaan Tavernier

    • Vrije Universiteit Brussel
    • PETsys Electronics

  • Marek Proga

    • University of Texas at Austin

  • Karol Lang

    • University of Texas at Austin

  View abstract →

• An Inexpensive Polyvinyltoulene Barrel PET Scanner Design

  ORAL

  April 9, 2022, 2:18 PM – April 9, 2022, 2:30 PM

  Presenters

  • Akhil Sadam

    • University of Texas at Austin

  Authors

  • Akhil Sadam

    • University of Texas at Austin

  • Christopher Layden

    • University of Texas at Austin

  • Kyle T Klein

    • The University of Texas at Austin
    • University of Texas at Austin

  • William J Matava

    • UT Austin
    • University of Texas at Austin

  • Karol Lang

    • University of Texas at Austin

  View abstract →

• DEEP LEARNING TECHNIQUES FOR KNEE MR IMAGES RECONSTRUCTION

  ORAL

  April 9, 2022, 2:30 PM – April 9, 2022, 2:42 PM

  Publication: Knoll, F., Zbontar, J., Sriram, A., Muckley, M. J., Bruno, M., Defazio, A., ... & Lui, Y. W. (2020). fastMRI: A publicly available raw k-space and DICOM dataset of knee images for accelerated MR image reconstruction using machine learning. Radiology: Artificial Intelligence, 2(1), e190007.
  "Fastmri 2019 challenge leaderboard." https: //fastmri.org/leaderboards/challenge/2019/. Accessed: 2021-12-14.
  Zbontar, J., Knoll, F., Sriram, A., Murrell, T., Huang, Z., Muckley, M. J., ... & Lui, Y. W. (2018). fastMRI: An open dataset and benchmarks for accelerated MRI. arXiv preprint arXiv:1811.08839.

  Presenters

  • María Margarita López-Titla

    • Instituto Mexicano del Seguro Social

  Authors

  • María Margarita López-Titla

    • Instituto Mexicano del Seguro Social

  • Héctor Gómez-Morales

    • Georgia Institute of Technology

  • Kelvin Lin

    • Georgia Institute of Technology

  • Sarmad Malik

    • Georgia Institute of Technology

  • Zheng Cheng

    • Georgia Institute of Technology

  View abstract →