2020 AAPM Annual Meeting Abstracts

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We are honored to announce that for the first time in the history of the Division of Medical Physics, we had ten (10) abstracts accepted for presentation at this year’s American Association of Physicists in Medicine (AAPM) annual meeting. This remarkable accomplishment is a direct reflection of our unwavering commitment to education and research. It is also a testament to the incredible excellence of our faculty, residents, and students.

During these stressful times of uncertainty, which is impacting both our professional and personal lives, it is quite inspiring to see such dedication and commitment to the field of Medical Physics. Please join us in congratulating our presenters:

  • Dr Stephanie Leon, Assistant Professor: “A Phantom-Based Assessment of Low-Contrast Performance Comparing Iterative Reconstruction Algorithms in CT”
  • Dr Edmond Olguin, 3rd-Year Resident:Evaluation of the Modulation Transfer Function From a Model-Based and a Statistical-Based Hybrid Iterative Reconstruction Algorithm Using Single-Energy and Dual-Energy CT
  • Dr Nathan Quails, PhD Graduate: “Directly Measuring Peak Skin Dose during Fluoroscopically-Guided Neuroradiology Interventional Surgeries”
  • Catherine Olguin, PhD Candidate: “Dual Energy CT Protocol Optimization for Increased Blood Detectability of Virtual Non-Contrast Images in a Single Source Dual Energy CT System: A Phantom Study” and “The Effect of Reconstruction Filters On Dual Energy CT Images From a Single-Source Sequential System” 
  • Wen-Chih Tseng, PhD Student: ”A Continuous Dose Calculation Method for Volumetric Modulated Arc Therapy Using Pencil Beam Convolution in a Homogeneous Phantom”
  • Camilo Correa, PhD Student: “Lateral Scattering of Single Pencil Beam Spots in Proton Tissue Equivalent Materials”
  • Colin Schaeffer, MS Graduate: “Raw-Data Effective Atomic Number and Electron Density Assessment Accuracy: A Phantom Study” and “A Comparison of Noise Properties Between Statistical-Based Hybrid and Model-Base Iterative Reconstruction Algorithms in CT”
  • Han Liu, MS Graduate:Structural and Functional Magnetic Resonance Imaging (MRI) Super-Resolution Using Deep Convolutional Neural Network

In addition, Dr BC Schwarz, Assistant Professor, moderated a session titled “An Example Pre-, Intra- and Post-Procedure Clinical Workflow for General Fluoroscopy and FGI Procedures”, which was part of a Self Assessment Module (SAM) Imaging Educational Course titled “Fluoroscopic Dose Tracking: Trails, Tribulations, and Successes”.