Authors: Michael W. Kissick, Chung Tin Lo, Jamie R McClelland, Niek Schreuder, Tracy Underwood
Affiliation: Hawkes Institute, University College London, Leo Cancer Care
Abstract Preview: Purpose: The emerging field of upright radiotherapy raises the question of how respiratory motion differs between upright and supine treatment postures. Therefore, we have developed a versatile pipeli...
Authors: Vicky Chin, Mark Gardner, Nicholas Hindley, Paul J. Keall, Adam Mylonas
Affiliation: Image X Institute, Faculty of Medicine and Health, The University of Sydney
Abstract Preview: Purpose: Stereotactic Arrhythmia Radioablation (STAR) is a non-invasive method to treat cardiac arrhythmias by targeting aberrant electrical conduction regions in the heart. Targeting is challenging g...
Authors: Steve B. Jiang, Dan Nguyen, Chenyang Shen, Fan-Chi F. Su, Jiacheng Xie, Shunyu Yan, Daniel Yang, Ying Zhang, You Zhang
Affiliation: Medical Artificial Intelligence and Automation (MAIA) Lab, Department of Radiation Oncology, UT Southwestern Medical Center, UT Southwestern Medical Center, Medical Artificial Intelligence and Automation (MAIA) Lab & Department of Radiation Oncology, UT Southwestern Medical Center, Medical Artificial Intelligence and Automation (MAIA) Laboratory, Department of Radiation Oncology, UT Southwestern Medical Center, The University of Texas at Dallas
Abstract Preview: Purpose: Accurate delineation of treatment targets and organs-at-risk is crucial for radiotherapy. Despite significant progress in artificial intelligence (AI)-based automatic segmentation tools, effi...
Authors: Hao Peng, Yajun Yu
Affiliation: Department of Radiation Oncology, UT Southwestern Medical Center, Medical Artificial Intelligence and Automation (MAIA) Lab, Department of Radiation Oncology, UT Southwestern Medical Center
Abstract Preview: Purpose: Personalized ultra-fractionated stereotactic adaptive radiotherapy (PULSAR) is a new treatment paradigm pioneered by our institution. But the early decision-making process in PULSAR is challe...
Authors: Mauro Carrara, Olivera Ciraj Bjelac, John E. Damilakis, Andre L. Dekker, Serafina Di Gioia, Renato Padovani, Egor Titovich, Qingrong Jackie Wu
Affiliation: University of Crete, Duke University Medical Center, Maastro Clinic, Dosimetry and Medical Radiation Physics Section, Division of Human Health, International Atomic Energy Agency, International Centre for Theoretical Physics
Abstract Preview: Purpose: The purpose of this work is to present the International Atomic Energy Agency (IAEA) activity in providing medical physicists (MPs) with knowledge, skills, and competencies to support the saf...
Authors: Samuel A. Einstein, Jesutofunmi Fajemisin, Evren O. Göksel, Görkem O. Güngör, Marthony Robins, Travis C. Salzillo, Charles R. Thomas, Turgay Toksay, Joseph Weygand, Yue Yan
Affiliation: Acibadem MAA University, Department of Radiation Oncology and Applied Science, Dartmouth Health, Dartmouth College, Moffitt Cancer Center, Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Penn State College of Medicine, Bursa Ali Osman Sönmez Oncology Hospital
Abstract Preview: Purpose: Magnetic resonance imaging (MRI) is an indispensable clinical tool, offering unparalleled soft tissue contrast critical for diagnosing and managing a wide range of conditions. However, its co...
Authors: Ciprian N. Ionita, Parisa Naghdi, Ahmad Rahmatpour
Affiliation: University at Buffalo, SUNY: University at Buffalo
Abstract Preview: Purpose: Quantitative angiography (QA) evaluates neurovascular hemodynamics, but is affected by X-ray parameters, vessel foreshortening, and imaging chain factors like detector efficiency, pixel size,...
Authors: Sofia Beer, Menal Bhandari, Alec Block, Nader Darwish, Joseph Dingillo, Sebastien A. Gros, Hyejoo Kang, Andrew Keeler, Rajkumar Kettimuthu, Jason Patrick Luce, Ha Nguyen, John C. Roeske, George K. Thiruvathukal, Austin Yunker
Affiliation: Data Science and Learning Division, Argonne National Laboratory, Department of Radiation Oncology, Stritch School of Medicine, Loyola University Chicago, Stritch School of Medicine Loyola University Chicago, Cardinal Bernardin Cancer Center, Loyola University Chicago, Department of Computer Science, Loyola University of Chicago
Abstract Preview: Purpose: Artificial intelligence (AI) generated synthetic medical images are seeing increased use in radiology and radiation oncology. Physician observer studies are an ideal way to evaluate the usabi...
Authors: Keisuke Fujii, Masahiro Kitagawa, Arezoo Modiri, Yuichiro Nakano, Ken N. Okada, Robabeh Rahimi, Akira SaiToh, Amit Sawant, Satoyuki Tsukano, Baoshe Zhang
Affiliation: University of Maryland, University of Maryland in Baltimore, Department of Computer and Information Sciences, Sojo University, Center for Quantum Information and Quantum Biology, Osaka University, Maryland University Baltimore, Department of Radiation Oncology, University of Maryland School of Medicine
Abstract Preview: Purpose: Fully personalized radiotherapy requires computational resources far exceeding those of conventional CPU/GPU systems. This study explores the use of quantum computing (QC) in radiotherapy pla...
Authors: Makunda Aryal, Qiongge Li, Sook Kien Ng, Christopher F. Njeh, Edwin Quashie, Senthamizhchelvan Srinivasan, Yun Wang
Affiliation: Indiana University Medical School, Memorial Health Care System, Indiana University, Inova Hospital, Indiana University School of Medicine, Department of Radiation Oncology
Abstract Preview: Purpose: Linear-Quadratic-Linear (LQL) model is a modification of the traditional Linear-Quadratic model used in radiobiology to describe cell survival in response to radiation. The LQL model extends ...
Authors: Dirk A Bartkoski, Michael Kleckner, Dongyeon Lee, Reza Reiazi, Mohammad Reza Salehpour
Affiliation: The University of Texas MD Anderson Cancer Center, Convergent-RnR
Abstract Preview: Purpose:
To develop and validate G4BraggReflection, a novel physics process within Geant4, designed to incorporate diffraction properties resulting in Bragg reflection into Monte Carlo simulations....
Authors: James Chun Lam Chow, Kay Li
Affiliation: University of Toronto, Princess Margaret Cancer Centre
Abstract Preview: Purpose: This study aims to integrate Equity, Diversity, and Inclusion (EDI) principles into AI-driven educational tools for medical physics. The goal is to create a chatbot framework that fosters acc...
Authors: Fang-Fang Yin, Lei Zhang, Yaogong Zhang
Affiliation: Medical Physics Graduate Program, Duke Kunshan University
Abstract Preview: Purpose: Rotational symmetry is an inherent property of many tomography systems (e.g., CT, PET, SPECT), arising from the circular arrangement or rotation of detectors. This study revisits the image re...
Authors: Rafael Carballeira, David J. Gladstone, Philippe Liger, Rongxiao Zhang
Affiliation: TheryQ, Dartmouth College, University of Missouri, Thayer School of Engineering, Dartmouth College
Abstract Preview: Purpose: To model a FLASH electron beam system (FLASHLAB) via first principle Monte Carlo methods, navigating installation configurations, shielding and regulatory radiation safety considerations for ...
Authors: Kimyli Lemieux, Xingyu Nie
Affiliation: University of Kentucky/UK HealthCare
Abstract Preview: Purpose: To optimize the selection of calibration radioisotope and its activity for dose calibrator (DC) linearity testing, adhering to ALARA (As Low As Reasonably Achievable) principles while conside...
Authors: Rose Al Helo, Shengwen Deng, Sven L. Gallo, David W. Jordan
Affiliation: Department of Radiology, Radiation Safety, University Hospitals Cleveland Medical Center, University Hospitals Cleveland Medical Center, Department of Radiology, Radiation Safety, University Hospitals Cleveland Medical Center; School of Medicine, Case Western Reserve University; Department of Radiology, Louis Stokes Cleveland VA Medical Center
Abstract Preview: Purpose: From an educator perspective, preparing test questions for trainees is time-consuming and requires a lot of quality verification steps (review of stems, distractors, referencing) that can pot...