Authors: Jingyuan Chen, Sheng Li, Tianming Liu, Wei Liu, Zhengliang Liu, Zhong Liu, Daniel Ma, Samir H. Patel, Guangya Wang, Yunze Yang
Affiliation: University of Miami, Mayo Clinic, School of Data Science, University of Virginia, School of Computing, University of Georgia, Department of Radiation Oncology, Mayo Clinic, Institute of Western China Economic Research, Southwestern University of Finance and Economics
Abstract Preview: Purpose:
Traditional patient outcome analyses relied heavily on conventional statistical models that primarily elucidate correlation rather than causal relationships. In this study, we aim to ident...
Authors: Yunxiang Li, Hua-Chieh Shao, Chenyang Shen, Jing Wang, Jiacheng Xie, Shunyu Yan, 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) Laboratory, 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 liver deformable motion tracking is essential in image-guided radiotherapy to enable precise tumor targeting during treatment. We developed a conditional point cloud diffusion model ...
Authors: Mingli Chen, Xuejun Gu, Hao Jiang, Mahdieh Kazemimoghadam, Weiguo Lu, Gregory Szalkowski, Qingying Wang, Kangning Zhang
Affiliation: Medical Artificial Intelligence and Automation (MAIA) Lab, Department of Radiation Oncology, UT Southwestern Medical Center, UT Southwestern Medical Center, Department of Radiation Oncology, Stanford University School of Medicine
Abstract Preview: Purpose: Respiratory motion management is crucial for accurate radiation delivery to moving targets while protecting healthy tissue, relying on time-resolved volumetric imaging and continuous deformab...
Authors: Jie Deng, Yunxiang Li, Xiao Liang, Weiguo Lu, Jiacheng Xie, You Zhang
Affiliation: 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, University of Texas 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: Recently, foundational models trained on large datasets have shown remarkable performance across various tasks. Developing a foundational model for medical image modality translation in head-...
Authors: Christos Ilioudis, Marios Myronakis, Sotirios Raptis, Kyriaki Theodorou
Affiliation: Medical Physics Department, Medical School, University of Thessaly, Department of Information and Electronic Engineering, International Hellenic University (IHU)
Abstract Preview: Purpose: This study presents a radiomics-driven, machine learning framework developed to predict the possibility of Radiation Pneumonitis (RP), as a side effect of radiation therapy in lung cancer pat...
Authors: Ramesh Boggula, Lincoln Houghton
Affiliation: Karmanos Cancer Institute, Wayne State University
Abstract Preview: Purpose: To evaluate an approach that selectively applies adaptive re-planning only when needed to reduce clinical workload while maintaining treatment quality. Daily adaptive radiotherapy (ART) has t...
Authors: Sijuan Huang, Yongbao Li
Affiliation: Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine; Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, Guangdong, 510060, China, Sun-Yat sen University Cancer Center
Abstract Preview: Purpose: Hematologic toxicity (HT) is one of the most prevalent treatment-related toxicities experienced by locally advanced cervical cancer (LACC) patients receiving radiotherapy (RT). This study aim...
Authors: Courtney R. Buckey, Jay W. Burmeister, Minsong Cao, Grace Chang, Yu Kuang, Yixiang Liao, Yi Rong, Dandan Zheng
Affiliation: Mayo Clinic, Mayo Clinic Arizona, Karmanos Cancer Center, Gershenson ROC, Wayne State University School of Medicine, Department of Radiation Oncology, University of California, Los Angeles, Medical Physics Program, University of Nevada, Rush University Medical Center, University of Rochester
Abstract Preview: Purpose: Investigate the adequacy of training for therapeutic medical physics residents in select special procedures.
Methods: After a review of existing literature, a multi-institutional group dev...
Authors: Robert K Chin, Klea Hoxha, Erika Jank, Jesus Juarez, Eulanca Yuka Liu, Dylan P. O'Connell, X. Sharon Qi, Ricky R Savjani
Affiliation: Department of Radiation Oncology, University of California, Los Angeles, University of California, Los Angeles, UCLA Radiation Oncology
Abstract Preview: Purpose:
Daily cone beam CT (CBCT) images are acquired prior to each radiotherapy treatment for verifying patient positioning. HyperSight is an advanced imaging solution that replaces standard CBCT...
Authors: Adayabalam Balajee, Elijah Berberette, Maria Escalona, Dray Gentry, Chester R. Ramsey, Terri Ryan
Affiliation: ORAU, Thompson Proton Center, University of Tennessee
Abstract Preview: Purpose:
Dicentric chromosomes, characterized by two centromeres on a single chromosome, are key biomarkers in biological dosimetry for quantifying ionizing radiation exposure. However, manual dete...
Authors: Zachary Buchwald, Chih-Wei Chang, Zach Eidex, Richard L.J. Qiu, Mojtaba Safari, Shansong Wang, Xiaofeng Yang, David Yu
Affiliation: Emory University and Winship Cancer Institute, Emory University, Department of Radiation Oncology and Winship Cancer Institute, Emory University
Abstract Preview: Purpose: MRI offers excellent soft tissue contrast for diagnosis and treatment but suffers from long acquisition times, causing patient discomfort and motion artifacts. To accelerate MRI, supervised d...
Authors: Jingyun Chen, Yading Yuan
Affiliation: Columbia University Irving Medical Center, Department of Radiation Oncology
Abstract Preview: Purpose: To develop and evaluate the Scale-attention network (SANet) for automated pancreas segmentation on MR images.
Methods: To develop SANet, we extended the classic U-Net design with a dynamic...
Authors: Lu Jiang, Shusen Jing, Qihui Lyu, Dan Ruan, Ke Sheng, Qifan Xu
Affiliation: Department of Radiation Oncology, University of California, Los Angeles, University of California San Francisco, Department of Radiation Oncology, University of California at San Francisco, Department of Radiation Oncology, University of California, San Francisco
Abstract Preview: Purpose: In radiotherapy, the conformity and compactness of dose distribution are vital to patient outcomes. The introduction of highly complex planning, such as 4π radiotherapy, has provided a system...
Authors: Sijuan Huang, Zi LIU, Jing MA, Xin Yang
Affiliation: Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine; Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, Guangdong, 510060, China
Abstract Preview: Purpose: To reduce the pressure of manual review of abnormal situations in manually/automatically delineated regions of interest (ROI), improve its accuracy and basis.
Methods: 220 radiotherapy pat...
Authors: Ashley Cetnar
Affiliation: The Ohio State University - James Cancer Hospital
Abstract Preview: Purpose: Undergraduate students are eager to learn more about potential career opportunities. While many physics majors are aware of research opportunities within the physics department, students may ...
Authors: Richard Lesieur, Olivia Magneson, David E. Solis, Sotirios Stathakis
Affiliation: Louisiana State University, Mary Bird Perkins Cancer Center
Abstract Preview: Purpose: This study evaluates the deliverability and precision of multileaf collimator (MLC) positioning in treatment plans generated by two different Treatment Planning Systems (TPS), Monaco and Pinn...
Authors: Yifei Hao, Wenxuan Li, Xiang Li, Tao Peng, Yulu Wu, Fang-Fang Yin, Yue Yuan, Lei Zhang, Yaogong Zhang
Affiliation: Duke University, School of Future Science and Engineering, Soochow University, Medical Physics Graduate Program, Duke Kunshan University
Abstract Preview: Purpose: Diffusion-based deep-learning frameworks have been recently used in MRI resolution enhancement, or super-resolution. Multi-contrast MRI share common anatomical structures while holding comple...
Authors: Xianjin Dai, PhD, Zhuoran Jiang, Lei Ren, Lei Xing, Zhendong Zhang
Affiliation: University of Maryland School of Medicine, Department of Radiation Oncology, Stanford University, Duke University, Stanford University
Abstract Preview: Purpose: Unsupervised deep learning has shown great promise in deformable image registration (DIR). These methods update model weights to optimize image similarity without necessitating ground truth d...
Authors: Hua-Chieh Shao, Chenyang Shen, Jiacheng Xie, Shunyu Yan, 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) Laboratory, 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: Motion-resolved CBCT imaging, which reconstructs a dynamic sequence of CBCTs reflecting intra-scan motion (one CBCT per x-ray projection), is highly desired for regular/irregular motion chara...
Authors: Andrew Huang, Jonathan Huang, Andrew S Kennedy, Ellie Grace Kong, Ajay Zheng
Affiliation: New York Proton Center, Centennial Medical Center, Executive Medical Physics Associates, Sarah Cannon Cancer Institute, Belmont University
Abstract Preview: Purpose:
Lung stereotactic body radiotherapy (SBRT) is the standard of care for early-stage lung cancer. Respiratory phase gating can be applied to mitigate motion-induced effects. The purpose of t...
Authors: Kristen A. Duke, Samer Jabor, Neil A. Kirby, Parker New, Niko Papanikolaou, Arkajyoti Roy, Yuqing Xia
Affiliation: St. Mary's University, The University of Texas San Antonio, UT Health San Antonio
Abstract Preview: Purpose:
The Segment Anything Model (SAM) is a foundational box-prompt-based model for natural image segmentation. However, its applicability to zero-shot 3D medical image segmentation, particularl...
Authors: Carla D. Bradford, Linda Ding, Yansong Geng, Alan Hartford, I-Lin Kuo, Salvatore LaRosa, Joshua N Wancura
Affiliation: University of Massachusetts Chan Medical School
Abstract Preview: Purpose: When treating nasal skin cancers, electron beam radiotherapy dose distributions can be improved by using custom bolus to compensate for uneven surfaces. Here we describe our experience commis...
Authors: Alonso N. Gutierrez, Matthew D. Hall, Rupesh Kotecha, Yongsook C. Lee, Michael W. McDermott, Minesh P. Mehta, Ranjini P. Tolakanahalli, D. Jay J. Wieczorek
Affiliation: Miami Cancer Institute, Baptist Health South Florida
Abstract Preview: Purpose: The objective of this study is to systematically evaluate and validate the performance of a commercially available 3D Linear stage device as a quality assurance (QA) tool to validate position...
Authors: Jingyun Chen, Yading Yuan
Affiliation: Columbia University Irving Medical Center, Department of Radiation Oncology
Abstract Preview: Purpose: To evaluate centralized and decentralized strategies for federated head and neck tumor segmentation on PET/CT.
Methods: We utilized training data from the HEad and neCK TumOR segmentation ...
Authors: Xu Chen, Jun Lian, Yunkui Pang, Pew-Thian Yap
Affiliation: University of North Carolina at Chapel Hill, Huaqiao University
Abstract Preview: Purpose: Unsupervised CBCT-to-CT translation in the pelvic region is essential for accurate radiotherapy delivery and adaptive image-guided interventions. However, current models for cross-modality tr...
Authors: Ming Chao, Hao Guo, Tenzin Kunkyab, Yang Lei, Tian Liu, Kenneth Rosenzweig, Robert Samstein, James Tam, Junyi Xia, Jiahan Zhang
Affiliation: Icahn School of Medicine at Mount Sinai
Abstract Preview: Purpose:
The aim of the study is to develop a trade-off prediction model to efficiently guide the treatment planning process for patients with stage III non-small cell lung cancer (NSCLC).
Metho...
Authors: Wei Wei, Yading Yuan
Affiliation: Columbia University Irving Medical Center, Department of Radiation Oncology
Abstract Preview: Purpose: To investigate an uncertainty modeling method to improve the performance of cancer classification with the ability to produce uncertainty score.
Methods: Deep learning has achieved state-o...
Authors: Lily Jo Bertemes, Careesa Billante, Ashley Cetnar, Arnab Chakravarti, Nilendu Gupta, Sagarika Jain, Maximilian Stephen Meineke, Allison N. Palmiero, Runhe Tan
Affiliation: The Ohio State University - James Cancer Hospital, Department of Radiation Oncology, The Ohio State University Wexner Medical Center, Department of Radiation Oncology, Ohio State University Comprehensive Cancer Center, The Ohio State University, The James Cancer Center
Abstract Preview: Purpose: Ultra-High Dose Rate Radiation Therapy (UHDR-RT) induces normal tissue sparing while maintaining iso-effective tumor control compared to conventional methods, known as the “FLASH effect”. How...
Authors: Yuzhen Ding, Hongying Feng, Jason Michael Holmes, Baoxin Li, Wei Liu, Daniel Ma, Lisa McGee, Samir H. Patel, Jean Claude M. Rwigema, Sujay A. Vora
Affiliation: Arizona State University, Department of Radiation Oncology, Mayo Clinic, Mayo Clinic Arizona, Mayo Clinic
Abstract Preview: Purpose:
Intensity-modulated proton therapy (IMPT) is a preferred treatment modality for head and neck (H&N) cancer patients, offering precise tumor targeting while sparing surrounding organs at ri...
Authors: Edward Robert Criscuolo, Chenlu Qin, Deshan Yang, Zhendong Zhang
Affiliation: Duke University, Department of Radiation Oncology, Duke University
Abstract Preview: Purpose:
Low-dose CT (LDCT) imaging minimizes radiation exposure but introduces significant noise, compromising image quality. While deep learning-based denoising models such as HFormer achieve sta...
Authors: Christopher G. Ainsley, Pradeep Bhetwal, Yingxuan Chen, Wookjin Choi, Vimal K. Desai, Karen E. Mooney, Adam Mueller, Hamidreza Nourzadeh, Yevgeniy Vinogradskiy, Maria Werner-Wasik
Affiliation: Thomas Jefferson University
Abstract Preview: Purpose: MR-guided adaptive radiotherapy (MRgART) has demonstrated improved outcomes for patients with pancreatic cancer. However, the time-consuming re-segmentation of targets and organs-at-risk (OAR...
Authors: Daniela Branco, John M Bryant, Surendra Bahadur Chand, Pratiksha Shahi, Joseph Weygand
Affiliation: Department of Radiation Oncology and Applied Science, Dartmouth Health, B.P. Koirala Memorial Cancer Hospital, , B.P Koirala Memorial Cancer Hospital, University of California San Diego / California Protons, Department of Radiation Oncology, Moffitt Cancer Center
Abstract Preview: Purpose:
Cervical cancer remains a significant health burden in Nepal, with 2169 new cases and 1313 deaths recorded in 2022. This study evaluates the feasibility of implementing step-and-shoot IMRT...
Authors: Melissa Bronson, Elizabeth L. Covington, Robert T. Dess, Joseph R. Evans, William C. Jackson, Charles S. Mayo, Michelle L. Mierzwa, Benjamin S. Rosen, VG Vinod Vydiswaran, Grant Weyburne, Zheng Zhang, Henry Zocher
Affiliation: PCORnet®, The National Patient-Centered Clinical Research Network, University of Michigan
Abstract Preview: Purpose: Diagnosis and staging are an integral part of cancer care, but this information is often scattered across various electronic medical records. The fragmentation increases overall documentation...
Authors: Janet Ching-Mei Feng, Janet Gutierrez, Aylin Ozus, Patricia Svolos
Affiliation: Bellaire High, McGovern Medical School, University of Texas Health Science Center at Houston, Environmental Health & Safety, University of Texas Health Science Center at Houston, UTHealth McGovern Medical School
Abstract Preview: Purpose: Exposure to radiation may become harmful to the fetus depending on the gestational age and absorbed dose. The Nuclear Regulatory Commission states the radiation exposure to the embryo/fetus o...
Authors: Yang Sheng, Qingrong Jackie Wu, Qiuwen Wu, Xin Wu, Dongrong Yang
Affiliation: Duke University Medical Center
Abstract Preview: Purpose:
Treatment planning for intensity-modulated radiation therapy (IMRT) and volumetric modulated arc therapy (VMAT) relies on inverse planning, an iterative and non-intuitive process of adjust...
Authors: Xianjin Dai, PhD, Michael Gensheimer, Praveenbalaji Rajendran, Lei Xing, Yong Yang
Affiliation: Department of Radiation Oncology, Stanford University, Massachusetts General Hospital, Harvard Medical School
Abstract Preview: Purpose: Recent advances in the automatic delineation of radiotherapy treatment targets, which incorporate linguistic clinical data extracted by large language models (LLMs) into traditional visual-on...
Authors: Ara Alexandrian, Sadiki Daniel
Affiliation: Louisiana State University, Mary Bird Perkins Cancer Center
Abstract Preview: Purpose: To develop a learning-to-optimize machine learning model that accelerates optimization in VMAT treatment planning by training on prostate patient data.
Methods: A treatment plan dataset of...
Authors: Clemens Grassberger, David (Bo) McClatchy, Harald Paganetti
Affiliation: Department of Radiation Oncology, University of Washington and Fred Hutchinson Cancer Center, Massachusetts General Hospital
Abstract Preview: Purpose: While randomized controlled trials (RCTs) are the gold standard for demonstrating efficacy, nearly 50% of late-stage clinical trials fail to meet their endpoint. Tools to study the design of ...
Authors: Steve B. Jiang, Chien-Yi Liao, Dan Nguyen, Daniel Yang, Hengrui Zhao
Affiliation: Medical Artificial Intelligence and Automation (MAIA) Lab & Department of Radiation Oncology, UT Southwestern Medical Center
Abstract Preview: Purpose:
Post-operative radiotherapy for prostate cancer requires precise contouring of the clinical target volume (CTV) to account for microscopic disease that is invisible in the image. However, ...
Authors: Zong Fan, Fan Lam, Hua Li, Rita Huan-Ting Peng, Yuan Yang
Affiliation: University of Illinois at Urbana Champaign, University of Illinois at Urbana-Champaign, Washington University School of Medicine, University of Illinois Urbana-Champaign
Abstract Preview: Purpose: Accurate lesion segmentation in MRI is critical for early diagnosis, treatment planning, and monitoring disease progression in various neurological disorders. Cross-site MRI data can alleviat...
Authors: Wookjin Choi, James M. Lamb, David Romanofski, David H. Thomas, Yevgeniy Vinogradskiy
Affiliation: Drexel, Department of Radiation Oncology, University of California, Los Angeles, Thomas Jefferson University
Abstract Preview: Purpose: To develop an intelligent Black Box Recorder for radiation therapy (RT) that monitors patient treatments using a vision language model.
Methods: The system captures synchronized screen rec...
Authors: Mark Anastasio, Hua Li, Zhuchen Shao
Affiliation: Washington University School of Medicine, University of Illinois Urbana-Champaign
Abstract Preview: Purpose: Automated semantic segmentation of cell nuclei in microscopic images is vital for disease diagnosis and tissue microenvironment analysis. However, obtaining large annotated datasets for train...
Authors: Ryan Gentzler, Xin He, James Larner, J.T. Morgan, Cam Nguyen, Wendy Stewart, Krishni Wijesooriya, Grant Williams
Affiliation: Department of Physics, University of Virginia, Department of Radiation Oncology, University of Virginia, Division of Hematology & Oncology, Department of Medicine, University of Virginia
Abstract Preview: Purpose: Some recent studies have shown Overall Survival (OS) of advanced-stage lung cancer patients treated with chemo-radiation therapy (CRT) is correlated with heart dose [1-5], while in other stud...
Authors: Waleed Mutlaq Almutairi, Ke Colin Huang, Vishwas Mukundan, Christopher F. Njeh, Oluwaseyi Oderinde, Yong Yue
Affiliation: Purdue University, Indiana University School of Medicine, Department of Radiation Oncology, Advanced Molecular Imaging in Radiotherapy (AdMIRe) Research Laboratory, Purdue University, West Lafayette, Indiana, USA
Abstract Preview: Purpose:
This study aimed to develop a machine learning (ML) model for early prediction of chemoradiotherapy (CRT) response in order to enhance personalized treatment selection for oral or orophary...
Authors: Shusen Jing, Qihui Lyu, Dan Ruan, Ke Sheng, Qifan Xu
Affiliation: Department of Radiation Oncology, University of California, Los Angeles, University of California San Francisco, Department of Radiation Oncology, University of California, San Francisco
Abstract Preview: Purpose: Metallic implants can significantly distort sinograms, leading to severe artifacts in computed tomography (CT) reconstructions. Reconstructing CT images containing metal is fundamentally an i...
Authors: Shahed Badiyan, Chien-Yi Liao, Mu-Han Lin, David D.M. Parsons, Justin D. Visak, Brien Timothy Washington, Kenneth Westover, Yuanyuan Zhang
Affiliation: 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, Department of Radiation Oncology, UT Southwestern Medical Center, Dallas, TX
Abstract Preview: Purpose: Adaptive radiotherapy (ART) programs are resource-intensive due to their technical complexities, requiring highly skilled planners. Leveraging integrated automated treatment planning system (...
Authors: Abdullah A. Alshreef, Elizabeth L. Bossart, Ashley Cetnar, Leonard H. Kim, Neil A. Kirby, Anna E. Rodrigues, Xin Wang, You Zhang
Affiliation: University of Miami, The University of Texas MD Anderson Cancer Center, Loma Linda University Medical Center, MD Anderson Cancer Center at Cooper, Cooper Medical School of Rowan University, The Ohio State University - James Cancer Hospital, UT Health San Antonio, Duke University, 5940 forest park road
Abstract Preview: Purpose: AAPM TG-298 reported several concerns regarding the training and education of alternative pathway candidates. Medical physics postdoctoral research, though not part of the certification pathw...
Authors: Yeona Cho, Chloe Min Seo Choi, Joseph O. Deasy, Jue Jiang, Jihun Kim, Jin Sung Kim, Nikhil Mankuzhy, Aneesh Rangnekar, Andreas Rimner, Maria Thor, Harini Veeraraghavan, Abraham Wu
Affiliation: University of Freibrug, Department of Medical Physics, Memorial Sloan Kettering Cancer Center, Department of Radiation Oncology, Yonsei Cancer Center, Heavy Ion Therapy Research Institute, Yonsei University College of Medicine, Department of Radiation Oncology, Gangnam Severance Hospital, Yonsei University College of Medicine, Memorial Sloan Kettering Cancer Center, Yonsei University
Abstract Preview: Purpose: We hypothesized that combining clinical, imaging, and radiotherapy dose-distribution features could increase predictive model accuracy in radiation-induced severe acute esophagitis (SAE) in e...
Authors: Houssam Abou Mourad, Christopher Ackerman, Stephen Adler, Kirk Aduddell, Muhammad K. Afghan, Hamid G. Aghdam, Diego Aguilar, Kang-Hyun Ahn, Francis Ai, Hua Ai, Ray Anthony Aikens, Manik Aima, Victoria Ainsworth, Erfan Akbari, Blessing Akinro, Rani Al-Senan, Khalid Alabbasi, Sam Alam, Daniel Alexander, Mohammed H. Aljallad, Mazin T. Alkhafaji, Ahmad K. Alkhatib, Scott J. Alleman, James Logan Allen, Ibtisam Almajnooni, Tiba Alnaqshabandi, Murat Alp, Stephen J. Amadon, Riska Amilia, Ala Amini, Shiho Amster, Mason R. Anders, Erin Angel, Ledi Anggara, John A. Antolak, Debora Antonio, Felicity Appiah, Haiqa Arain, Lahcen Arhjoul, Ali V. Aritkan, Muhammad Arshad, Mark E. Artz, Nathan S. Artz, Frank A Ascoli, John R. Ashburn, Benjamin Astarita, Masakazu Atsumi, Rex G. Ayers, Tara M. Bachman, Nina L. Bahar, Bing Bai, Michael J. Bailey, Chris Baird, Mohammad Bakhtiari, Andrew J. Ballesio, Isabel Balvoa, Qinan Bao, Jeffrey J. Barbarits, Joseph Barbiere, Philip C. Bardos, Gary T. Barnes, John C. Barrett, Divya Bartley, Steven J. Bartolac, Robert Barton, Christopher P. Bass, Loni Bates, Alan Baydush, John E. Bayouth, Stephen Beach, Kevin Beaudette, Kaelyn Becker, Natalie A. Beckmann, Colleen Beer, Sepideh Behinaein, Jake M. Bell, David M. Bellezza, Maria R. Bellon, Ahmed Benelfassi, Stephanie Louise Bennett, Todd Bernath, Kate Bevins, Nicholas B. Bevins, Brian J. Bismack, David Blaich, Anthony P. Blatnica, Joseph W. Blickenstaff, Steven Blum, Maggie Bobbett, Dayna Bodensteiner, Daniel Boedeker, Robert C. Boggs, Jason D. Bond, Sjirk N. Boon, Jennifer M. Borsavage, Ryan J. Bosca-Harasim, Ryan J. Bosca-Harasim, Satya R. Bose, Todd Bossenberger, Cristina Boswell, Djamal Boukerroui, Christopher M. Bowen, Aaron Brammer, Rich Brancaleoone, Eric Brass, Luis Bravo, William Breeden, Christina Breeze, Eric E. Brost, Justin L. Brown, Karen L. Brown, Marissa Brown, Norman Lee Brown, Payton Brown, Patrick V. Brunick, Ryan Brunkhorst, Gwendolyn P. Brunner, Camelia E. Bunaciu, Maria Bunta, Olwen Burton, Karim Butalag, Priscilla F. Butler, Angela Cagwin, Jeffrey L. Campbell, Warren G. Campbell, Tyler Cantrell, Xu Cao, Yanan Cao, Peter F. Caracappa, Amanda M. Caringi, Joe Caron, Joshua Carter, Kenneth W. Cashon, Sarah Castillo, Everett Cavanaugh, Suran Chae, Abhi Chakrabarti, PhD, Philip Chan, Jina Chang, Sha X. Chang, Youssef M. Charara, Pierre E. Charpentier, Priyanka Chaudhary, Senthamil Selvan Chelliah, Chen Chen, Doris Chen, Kuan Ling Chen, Max Chen, Mingyue Chen, Mu Chen, Xinan Chen, Yie Chen, Yong Chen, Caroline Cheney, Shyh-Shi R. Chern, Stephen Thomas Chesser, Kin Man Cheung, Pai-Chun Melinda Chi, Yuwei Chi, Omar Chibani, Hung Ching, Gwi Ae Cho, Jongmin Cho, David Choi, Wing Yan Choi, Nitish Chopra, Daniel Christ, Olav I. Christianson, Emmanuel Christodoulou, Heeteak Chung, Sophia Claudio, Arely Clavel, William J. Clouse, Gilad Cohen, Michael S. Cohen, Vladimir Collantes, Jason Collier, Jacob Collins, Daria C. Comsa, Charles Conduah, Virgil N. Cooper, Anita M. Corrao, Frank D. Corwin, Mihaela Cosma, Ben Coull-Neveu, Mary K. Cox, Daniel F. Craft, Steven D. Crawford, Troy M. Crawford, Charles E. Creagh, Beatrice Croteau, Camille Crumbley, Wilbert F. Cruz, Guoqiang Cui, J. Adam M. Cunha, Scott Cupp, Bruce H. Curran, Jordan McCauley Cutsinger, Alita D Almeida, Harold DSouza, Nana Dabo-Akoteng, Robert Dahl, Shaun W. Dahl, Ghayath Dakkouri, Malek Daneshvarnezhad, Mylinh Dang, Matt Daniels, George M. Daskalov, David A. Davenport, Amanda Davidek, Scott E. Davidson, Maria De Ornelas, Dylan A. DeAngelis, Mike Deady, Daniel Dean, Savannah Decker, Savannah Decker, Michael Delafuente, Omer Demirkaya, Logan Dempsey, Marc Dennis, Viv Dennis, Dana Derby, Garron A. Deshazer, Veronique Destombes, Ajaya K. Devabhaktuni, Suneetha Devpura, James A. Deye, Shalmali Dharmadhikari, Dominic J. DiCostanzo, Richard V. DiPietro, Emily Diller, Lei Ding, Nayha V. Dixit, Charles Dodge, David N. Dodoo Amoo, Shana Donchatz, Lei Dong, Elangovan Doraisamy, Jennifer E. Dorand, Sarah Driver, Jiayi Du, Michael Duax, Ibrahim M. Duhaini, Ibrahim Duhaini, Kristen Duke, Richard Dunia, Leon Dunn, Shannon R. Durfee, Brittany Earl, Behzad Ebrahimi, Colton Eckert, Hisham Elasmar, John G. Eley, Abdelhamid Elfaham, David C. Ellerbusch, Scott J. Emerson, Sara Endo, David Erickson, Freddy Escorcia, Caroline Esposito, Patrice Essien, Adam Evearitt, Benjamin Fahimian, Liliosa C. Fajardo, Kevin Fallon, Guoqing Fan, Jiahua Fan, Mingdong Fan, Pei Fan, Bing Fang, Jian Fang, Yile Fang, Marc A. Felice, Ye Feng, Michele Sutton Ferenci, Philippe Feru, Jade Alecia Fischer, Aaron Fishbein, Caitlyn M. Fitzherbert, Damian Fondevila, Grant Fong, Robert Wesley Foster, Luke Fourie, Jeffrey Brian Fowlkes, Alexandre Franca Velo, D. Jay Freedman, Ronald W. Frick, Jie Fu, Samuel Fulton, Kamalakar Gaddam, Justin D. Gagneur, Mariana Gallo, Mariana Gallo, David Gammel, Robert G. Gandy, Junfang Gao, Yiming Gao, Victor L. Garcia, Michael Garcia-Alcoser, Jeffrey Garrett, Steven Anthony Gasiecki, Keith Gatermann, Avinash Gautam, Bhoj Gautam, Olivier Gayou, Andrew J. Gearhart, Paul B. Geis, Renil B. George, David P. Gierga, Robert Gilliam, James Giltz, Eric L. Gingold, Frederic Girard, Garth Gladfelder, Sharon Glaze, Brendan K. Glennon, Steven P. Glennon, Guy Godwin, David Lloyd Goff, Lisa M. Goggin, Daniel Goldberg-Zimring, Edward Joseph Goldschmidt, Ehsan Golkar, Angel Gomez, Jason Gong, Manish K. Goyal, Frank Graeff, Royce L. Gragg, Jonathan Gray, Alexander D. Green, Olga L. Green, Andrew Christopher Greene, Travis Greene, Jared Grice, Kevin T. Grizzard, Suveena Guglani, Jeffrey B. Guild, Patrick P. Guo, Sandesh Gupta, Megan Gute, Jonathan Ha, Rachael L. Hachadorian, Christopher Haddad, Lubomir Hadjiiski, Scott W. Hadley, Tomoe Hagio, Kelsey Hall, Logan P. Hall, Klaus A. Hamacher, Amineh Hamad Khatib, Amineh O. Hamad Khatib, Brian R. Hames, Carnell Hampton, Samuel S. Hancock, Robyn S. Handschuh, Jeremy Hansen, Paul Harden, Joseph Harms, Daniel P. Harrington, Carley Harris, Jamie Marie Harris, Jennifer Hart, Richard P. Harvey, Jeremy Hawk, Naoki Hayashi, Maria Laura Haye, Katherine Hazelwood, David Hearshen, Bret H. Heintz, Adam Henry, Frank William Hensley, Michael Chris Hermansen, Marissa Hernandez, Nadia Hernandez, Dayadna Hernandez Perez, Sarah Hetherington, Emily Hewson, Maynard High, Brian P. Hill, Charles B. Hill, Yunsil Ho, Simeon Hodges, David M. Hoeprich, Michael N. Hoff, Robert F. Hoffman, Russell Holden, Clay Holdsworth, Scott Hollingsworth, John R. Holmes, Steve Holmes, Neal S. Holter, Thomas M. Holtschneider, Amirul Hoque, Sabbir Hossain, Tyler S. Howlin, Andrew Robert Hoy, An Ting Hsia, Hao-Yun Hsu, David Hu, Tom C. Hu, Yu-Chi Hu, Long Huang, Mi Huang, Joshua Hubbell, Michael J. Huberts, Julie C. Hudson, Geoffrey Hugo, Donglai Huo, Justin D. Hurley, Martina H. Hurwitz, Mohammad NASEEM Hussain, Andrew Hwang, Ui-Jung Hwang, Joe Ianni, Geoffrey Ibbott, Khalil Ibrahim, Ileana Iftimia, Mohammad Islam, Oleksandra Ivashchenko, Keyvan Jabbari, Joshua Jackson, Joshua Jackson, Ferenc Jacso, Mary Ellen Jafari, Karim Jaffer, Amit Jain, Ngoneh Jallow, Sachin R. Jambawalikar, Joshua A. James, Sunyoung Jang, Desiree Jangha, Tomaj Javidtash, Jun-Hsuang Jen, Peter Jenkins, Todd P. Jenkins, Andrew R. Jensen, Mads Lykke Jensen, Hosang Jin, Bowen Jing, Danielle Marie Johnson, Joshua D. Johnson, Holly Johnston, Kevin Jones, Badal R. Juneja, Nikhil Sriram Kabilan, Robert Kaderka, Jaclyn Kain, Faraz Kalantari, Maduka M. Kaluarachchi, Ali Kamen, Amrit Kaphle, Alireza Kassaee, Saravjeet Kaur, Vaiva Kaveckyte, Linda A. Kelley, Katelyn Kelly, Kathryn Elise Bales Kelly, Delsin B. Khan, Om Khanal, Maksud Khatri, William Steadman Kiger, Bryan Kim, Jong Oh Kim, Sangroh Kim, Sophia Kim, Brian W. King, Erica Kinsey, Assen S. Kirov, Marc T. Kleiman, Matic Knap, Robert J. Kobistek, Inger-Karine Kolkman-Deurloo, Erika Kathryn Kollitz, Dramane Konate, Xiang Kong, Walter Kopecky, Sandra Kos, Nataliya Kovalchuk, Shane Krafft, James A. Kraus, Robert Krauss, Deae-eddine Krim, Serguei Kriminski, Kerry T. Krugh, Lichung Ku, Esra Kucukmokroc, Randi Kudner, Andrew T. Kuhls-Gilcrist, Antti Juhani Kulmala, Akila D. Kumarasiri, Zacariah E. Labby, Taylor Lackey, Edcer Jerecho Laguda, Thang Lam, Michael A. S. Lamba, Kara Lambson, Laurel Zenaida Larramendi, Andy D. Lau, Wolfram Laub, Tyler Laugh, Robert P. Laureckas, Donald Laury, Patricia Lavey, Ashlie Laydon, Adam LeVay, Brandon Lee, Brian Lee, Dong-Chang Lee, Ji Hyun Lee, Jui-Min Lee, Bryan Lemieux, Matthew Lesher, Nicole Leslie, Etienne Lessard, Trish Lewis, Alan Li, Alexander N. Li, Hui Li, Jenny Li, Jiaxin Li, Qiongge Li, Taoran Li, Xiang Li, Yanlong Li, Zisheng Li, Xing Liang, Yun Liang, Chien-Yi Liao, Karisa Liaw, Sung-Yen Lin, Tiffany Lin, Holly M. Lincoln, Lin Ling, Chang Liu, Shaohua Liu, Yu Liu, Chih-Ming Mark Lo, Eric Lobb, Dilson Lobo, Virginia L. Lockamy, Lauren C. Long, Nelia S. Long, Troy Long, Michele Loscocco, Thomas Lowinger, Cynthia Lu, Minghui Lu, Winnie Lu, Yonggang Lu, Jianqiao Luo, Pei-Chin Luo, Xuhan Luo, Jan Luse, Daniel A. Lutterman, Dang Hoang Oanh Luu, Yulia Lyatskaya, Trina Lynd, Morgan Cervo Lyon, Chi Ma, Jingfei Ma, Tianjun Ma, Laurie Madden, Gregory E. Madison, Kurt Maffei, Michael J. Maffett, Nyasha G. Maforo, Dennise Magill, Emma Magness, Alphonso W. Magri, Dennis Mah, Usman Mahmood, Rebecca N. Mahon, Courage Mahuvava, Andrew D. Maidment, Gerassimos M. Makrigiorgos, Harish K. Malhotra, Kate Mallory, P. Scott Mange, Vivek Maradia, Jacob Marasco, Camilla Marino, Loren R. Marous, Wagner Marques, Craig M. Marsden, Edward I. Marshall, Jonathan Marshall, Caroline Martel, Colin Martin, Alejandro Martinez, Jeffrey P. Masten, Richard Mathew, Bobby Mathews, Anetia S. Matthews Jackson, Matthew R. Maynard, Joel R. McAllister, Rafe McBeth, James A. McCulloch, Kiernan T. McCullough, Keelin McGee, Kiaran P. McGee, Brian M. McGill, Christopher M. McGuinness, Robert McKoy, Steven M. McQuiggan, Lacey Medlock, Chirag D. Mehta, Nancy Meiler, Robert Meiler, Matthew A. Meineke, Caroline Melancon, Daniel S. Meleason, Carolyn Meltzer, Chunhua Men, Stephanie Merkl, Michael Merrick, Keith A. Michel, Georgeta Mihai, Ana Mihail, Devin A. Miles, Edward J. Miller, Elizabeth A. Miller, Ronaldo Minniti, Linda Minor, Filmon Misgina, Ajeet Kumar Mishra, Chad Mitchell, Drew P. Mitchell, Gregory S. Mitchell, Jessica Mitchell, Jacqueline Moga, Uwe Mollenhauer, Julien-Fabrice Ngoune Momo, Emi Mondragon, Nicholas Mongillo, Victor J. Montemayor, Scott Montgomery, Diego Luis Montufar Hidalgo, Mohammadamin Moradi, Serban Morcovescu, Jill Anna Moreau, Terrance Moretti, Toby Morris, Courtney K. Morrison, Alexander Albert Morrow, Jill Moton, Jonathon Mueller, Reshma Munbodh, Daniel W. Mundy, Daniela Murgulet, Scott A. Murphy, Benjamin C. Musall, Jana E. Musgrove, Samantha Musial, Yong Hum Na, Joel Nace, Paul Naine, Justin Napolitano, Vrinda Narayana, Ganesh Narayanasamy, Moulay Ali Nassiri, Muhammad Naveed, Richard D. Nawfel, Ritish Nedunoori, Aaron Nelson, Kristin J. Nelson, Aaron Nelson, MD, Neerajan Nepal, Emily Neubauer Sugar, Shree Neupane, David Newey, Mark Newpower, Susan Ng, Bau H. Nguyen, Daniel J. Nicewonger, Xingyu Nie, Ethan Nikolau, Kevin D. Nitzling, Kai Niu, John M. Noll, Prashanth K. Nookala, Khalid Noori, James T. Norweck, Hamidreza Nourzadeh, Jessica L. Nute, Sebastiaan Nysten, Kevin OGrady, Ceferino Obcemea, Keith Ober, Jacqueline Ogburn, Timilehin Ogunbeku, Mina Okello, Brian Olson, Martin Keane Ongeti, Savannah Orrill, Joseph Ott, Bahadir Ozus, Jan Pachon, Alexis Paige-Glenn, Jason Paisley, Farideh Pak, Randahl C. Palmer, Kiran Pant, Virginia Pappas, Abby Pardes, So-Yeon Park, Alexis Parker, Karla Parker, Homayon Parsai, Tommy O. Parsons, Pankaj Patel, Amy Patrick, Johnlly G. 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Robins, Rebecca Robinson Rey, Steve Rodney, Priscila Rodrigues, Edgardo Rodriguez, Tino Romaguera, Emilie Roncali, Joseph E. Roring, Alison R. Roth, Lawrence N. Rothenberg, Nick Rothwein, Kricia Emilia Ruano Espinoza, Damian DG Rudder, Donald R. Ruegsegger, Erwin W. Ruff, Brandon J. Russell, Frederick Rustad, Narayan Sahoo, Jonathan H. Saleeby, Habeeb H. Saleh, Flavio Salinas Aranda, Steffen Sammet, Daniel Sandoval, Aman Sangal, Joseph P. Santoro, Maíra Santos, Alexis Marie Sanwick, Milind Sardesai, Vikren Sarkar, Duminda Satharasinghe, Jessica L. Saunders, Carmen Sawyers, Sarah B. Scarboro, James Scheuermann, Colleen G. Schinkel, Dale Schippers, Joshua William Schlegel, David J. Schlesinger, Charles Ross Schmidtlein, Erich Schmitz, Jose Schneider, Erich A. Schnell, Lisa Schober, Leah Schubert, Michelle L. Schwer, James Seekamp, Jennifer Seger-Paisley, J. Anthony Seibert, Balaji Selvaraj, Raj N. Selvaraj, Meredith A. Semon-Pomposelli, Lasitha Senadheera, Naima Senhou, Christopher F. Serago, Hananiel Setiawan, Shakil B. Shafique, Aarti Shah, Hina Shah, Alok Shankar, Ryan Shanks, Kritika Sharma, Sunil K. Sharma, Jennifer M. Shealy, Ron Sheen, Gina L. Shelton, Mohammad Ullah Shemanto, Zion Sheng, Andrew J. Shepard, Justin R. Sherman, Kaizhong Shi, Xiaolin Shi, J. Allen Shih, Taciana Soares Shiue, Deborah J. Shumaker, Noah Silverberg, Ramon Alfredo C. Siochi, Amogh Sirniirkar, Marlene Skopec, Michael G. Skowronski, Dana Smetherman, Erika Smith, Eileen Sneeden, Jesse Snyder, James C. So, Emilie Soisson, Nima Soltani, Kwang Hyun Song, Liang Song, Xiaoling Song, Jigar B. Soni, Yashvant C. Soni, Jagadeesh R. Sonnad, Michael A. Speidel, Michael P. Speiser, James D. Speitel, Tanya Spellman, Joseph Patrick Speth, Daniel J. Spitznagel, Sara T. St. James, Alexander Stanforth, George Starkschall, James Stebelton, James P. Steinman, Jonathan M. Stenbeck, Robin L. Stern, Patrick D. Stevens, Erika Stewart, Gary Stinnett, Sarah A. Strand, Keith J. Strauss, Kristen Stryker, Edward Sudentas, Kevinraj N. Sukumar, Orhan H. Suleiman, John L. Sullivan, Paul Robert Sullivan, Mei Sun, Peng Sun, Kumari Sunidhi, Jacob Sunnerberg, Elizabeth A. Swanson, William J. Swanson, Larry E. Sweeney, Sean Swiedom, Gregory Szalkowski, Katsuyuki Taguchi, MohammadAli Tajik-Mansoury, Reza Taleei, Derek Tang, Shengzhang Tang, Mahin Tariq, Jason S. Tavel, Neelima Tellapragada, Alexandra Tellez, Dawn Tellez, Juan Manuel Tellez, Xiaokun Teng, James A. Terry, Biniam Tesfamicael, Confex Test, Aapm Tester, Contex Tester, Namita Thakur, David J. Theel, Kathleen D. Thomas, Emily A. Thompson, Stephen K. Thompson, Daniela Thorwarth, Kevin Tierney, Anders Tingberg, Ragu S. Tirukonda, Robert A. Tokarz, Robert J. Tokarz, Naresh B. Tolani, Brian Tom, Shidong Tong, Ebrahim Torangan, Martin Tornai, Diana Tovmasian, Trung Tran, Bryan Traughber, Samuel Trichter, Sugata Tripathi, Petra Trnkova, Panagiotis Tsiamas, Ryan Tsiao, Haifeng Tu, Philip N Tubiolo, Jeff D. Turley, Adam Turner, PhD, DABR, Conner Ubert, Chibueze Zimuzo Uche, Vincent M. Ulizio, Gnanaprakasam Vadivelu, Hema Vaithianathan, Sunil Valaparla, Fabiola Vallejo Castañeda, Liesbeth Vancoillie, Matt Vanderhoek, Caroline Vanderstraeten, Nancy J. Vazquez, Linda A. Veldkamp, Trevor L. Vent, Anthony M. Ventura, Keith Ver Steeg, Irina Vergalasova, CHENG WANG, Christopher Waite-Jones, Matthew C. Walb, Reuben Waldron, Arlie Vester Walker, Jim Walsh, Alisa I. Walz-Flannigan, Cheng Wang, Helen H. Wang, Hui-Chuan Wang, Jiali Wang, Jian-xiong Wang, Kai Wang, Kyle Wang, Ning Wang, Yuntao Wang, Zhendong Wang, Zhixing Wang, Grace Ward, Sarah M. Way, Rachel L. Waymire, Melvin Weatherly, Charles Travis Webb, Lincoln J. Webb, Jia Wei, Wenbo Wei, Callie Weiant, Miriam S. Weiser, Eric M. Welch, Jered R Wells, Michelle C. Wells, S. Brock Westlund, Gerald A. White, John White, Darunee S. Whitt, David Wikler, Austin Wilkinson, Carly D. Williams, Mark Bennett Williams, Joshua M. Wilson, Keli C. Wilson, Nicholai Wingreen, Joseph Wishart, Alon Witztum, Katherine M. Woch Naheedy, Andy Wolf, Serkalem E. Wondimgezhu, Genevieve N. Wu, Wenhao Wu, Ye Wu, Yuxiang Xing, Li Xiong, Weijun Xiong, Xunyi Xu, Yan Xu, Tianyou Xue, Yanjie Xue, Girijesh K. Yadava, Derek Z. Yaldo, Kaiguo Yan, Yue Yan, Nathan E. Yanasak, Bowen Yang, Ray Yang, Xiaocheng Yang, Yun Yang, Yunze Yang, Bin Yao, Yuan (John) Yao, Anna N Yaroslavsky, Feng-Ju Yeh, Susanne Yerich, Michael V. Yester, Xiaofei Ying, Tekeste Yohannis, Tony Younes, Eyesha Younus, Jialu Yu, Justin Yu, Yan Yu, Pui Kuen Yuen, Joshua P. Yung, Steve Yuvan, Mehran Miron Zaini, Ramtin Zakikhani, Lee Anne Zarger, Merissa Zeman, Lisa Zent, Di Zhang, Dongqing Zhang, Hao Zhang, Jun Zhang, Lei Zhang, Lu Zhang, Maochen Zhang, Peng Zhang, Peng Zhang, Qingyun Zhang, Xin Zhang, Yi Zhang, Yinghui Zhang, Yongbin Zhang, Zhongwei Zhang, Bo Zhao, Xuandong Zhao, Yizhou Zhao, Weiping Zheng, Yi Zheng, Troy Zhou, Xiangzhi Zhou, Xiaohong Joe Zhou, Yuwei Zhou, Jin Zhu, Mingyao Zhu, Eric C. Zickgraf, John R. Zullo, Piotr Zygmanski, Leo van Battum
Affiliation: DTC Consultants, NL Health, Dartmouth Hitchcock Medical Center, ProCure Proton Therapy Center, Medical & Radiation Physics, Inc, Augusta University, Genesis Healthcare Partners, Michigan Medicine, Washington DC VA Medical Center, VA Medical Center, Mercy Southeast Hospital, Food And Drug Administration, University of Iowa, Advanced Radiation Physics Service, Inc, University of Pittsburgh, University of Wisconsin, Wellspan Health, Good Samaritan Hospital, Howard University Hospital, St. Mary's Memorial Health Center, Penn State Milton S. 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Abstract Preview: N/A...
Authors: Hassan Bagher-Ebadian, Ahmed I Ghanem, Joshua P. Kim, Chengyin Li, Rafi Ibn Sultan, Kundan S Thind, Dongxiao Zhu
Affiliation: Wayne State University, Department of Radiation Oncology, Henry Ford Health-Cancer, Detroit, MI and Alexandria Department of Clinical Oncology, Faculty of Medicine, Alexandria University, Henry Ford Health
Abstract Preview: Purpose: Accurate segmentation of the Left Anterior Descending (LAD) artery in free-breathing 3D treatment planning CT is crucial for radiotherapy but remains challenging due to its small size, comple...
Authors: Jay W. Burmeister
Affiliation: Karmanos Cancer Center, Gershenson ROC, Wayne State University School of Medicine
Abstract Preview: N/A...
Authors: Zhihua Qi
Affiliation: Henry Ford Health
Abstract Preview: Purpose: State of the art cardiac CT has built-in automated, patient specific optimization, taking into account a number of factors including patient size, heart rate and others. It is crucial to deve...
Authors: Blessing Akinro, Soumyanil Banerjee, Ming Dong, Carri K. Glide-Hurst, Prashant Nagpal, Chase Ruff, Nicholas R. Summerfield, Timothy P. Szczykutowicz
Affiliation: Departments of Human Oncology and Medical Physics, University of Wisconsin-Madison, Departments of Radiology and Medical Physics, University Wisconsin-Madison, Department of Radiology, University of Wisconsin-Madison, Department of Computer Science, Wayne State University, Department of Human Oncology
Abstract Preview: Purpose: Radiation dose to coronary arteries (CAs) during thoracic radiotherapy (RT) is linked to cardiotoxicity. However, precise CA delineation for avoidance is limited by image quality and CA compl...
Authors: Estelle Batin, Michael A. Carlson, Nilendu Gupta, Zachary X. Richards, Diana Shvydka
Affiliation: Department of Radiation Oncology, The Ohio State University Wexner Medical Center
Abstract Preview: Purpose: With an increase in world-wide proton treatment availability, patients sometimes are transferred between proton and photon modalities. Among the main reasons for modality shifts are proton be...
Authors: Ricardo Garcia Santiago, Narges Miri, Daryl P. Nazareth, Ankit Pant, Mukund Seshadri
Affiliation: Roswell Park Comprehensive Cancer Center
Abstract Preview: Purpose: To develop a transformer-based deep learning network framework for predicting VMAT dose distributions. This can provide fast and efficient calculations with accuracies potentially comparable ...
Authors: Marwan Belal AbuHaija, Anis Ahmad, Chase Prescott Anderson, Nesrin Dogan, John C. Ford, Alan Pollack, Junwei Shi, Jorge D Vega, Gabriel Enrique de Hostos
Affiliation: University of Miami, University of Miami Sylvester Comprehensive Cancer Center
Abstract Preview: Purpose: Raman Spectroscopy (RS) is a non-invasive, label free imaging modality that gathers intrinsic molecular vibrational information. Portable RS systems expand affordability and convenience, supp...
Authors: Eric C. Ford, Awusi Kavuma, Solomon Kibudde, Lilie Lin, Apollo Muramuzi, Nibedita Paul, Peniel T Twum, Afua A. Yorke
Affiliation: Uganda Cancer Institute, MD Anderson Cancer Center, University of Washington, Department of Radiation Oncology, Fred Hutchinson Cancer Center, University of Washington, University of Nebraska, Global Communities
Abstract Preview: Purpose: Sub-Saharan Africa accounts for over one-third of global cervical cancer deaths, despite representing only 14% of the world’s female population. At the only RT center in Uganda, prior studies...
Authors: Caridad Borras
Affiliation: Radiological Physics and Health Services
Abstract Preview: Purpose: The production, use, and disposal of radiopharmaceuticals must comply with regulations for drugs (medicines) and radiation. The relevant roles and requirements for medical physicists to be in...
Authors: Hengjie Liu, Dan Ruan, Ke Sheng, DI Xu
Affiliation: Physics and Biology in Medicine, University of California, Los Angeles, Department of Radiation Oncology, University of California, San Francisco, Department of Radiation Oncology, University of California at San Francisco, Department of Radiation Oncology, University of California, Los Angeles
Abstract Preview: Purpose:
State-of-the-art deep learning-based deformable image registration often uses large, complex models directly adapted from computer vision tasks but achieves only comparable performance to ...
Authors: Ehsan Abadi, Zakaria Aboulbanine, Nicholas D Felice, David Fenwick, Anuj J. Kapadia, Cindy Marie McCabe, Jayasai Ram Rajagopal, Ehsan Samei
Affiliation: Duke University, Oak Ridge National Laboratory, Center for Virtual Imaging Trials, Duke University, Clinical Imaging Physics Group, Department of Radiology, Duke University Health System
Abstract Preview: Purpose:
Virtual imaging trials (VITs) offer a computational alternative to clinical imaging trials leveraging virtual patients, scanners, and interpreters to assess imaging questions. To provide m...
Authors: Yizheng Chen, Michael Gensheimer, Mingjie Li, Lei Xing
Affiliation: Department of Radiation Oncology, Stanford University
Abstract Preview: Purpose: Automatically translating non-contrast to contrast-enhanced computed tomography (CT) images is critical for improving clinical workflow, reducing heathcare cost, minimizing radiation exposure...
Authors: Stephen R. Bowen, Shijun Chen, Chunyan Duan, Daniel S. Hippe, Qiantuo Liu, Qianqian Tong, Jiajie Wang, Shouyi Wang, Faisal Yaseen
Affiliation: The University of Texas at Austin, Tongji University, University of Washington, Department of Radiation Oncology, Fred Hutchinson Cancer Center, University of Washington, Fred Hutchinson Cancer Center, University of Texas at Arlington
Abstract Preview: Purpose: Tumor subregion clustering and prediction of region-specific response can augment assessments and adaptive treatment decisions. A modeling framework was constructed to predict chemoradiation ...
Authors: Yunxiang Li, Weiguo Lu, Xiaoxue Qian, Hua-Chieh Shao, You Zhang
Affiliation: 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
Abstract Preview: Purpose:
Curating high-quality, labeled data for medical image segmentation can be challenging and costly, considering the existence of various image domains with differing modalities/protocols. Cr...
Authors: Jie Deng, Yunxiang Li, You Zhang
Affiliation: 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
Abstract Preview: Purpose: Magnetic Resonance Imaging (MRI) has exceptional soft tissue contrast and an essential role in radiotherapy. The introduction of clinical MR-LINACs has enabled adaptive radiotherapy (ART) usi...
Authors: Claus Belka, Stefanie Corradini, Christopher Kurz, Guillaume Landry, Matteo Maspero, Adrian Thummerer, Erik van der Bijl
Affiliation: Department of Radiation Oncology, LMU University Hospital, LMU Munich, Radboud University Medical Center, UMC Utrecht
Abstract Preview: Purpose: To automatically harmonize non-standardized organ-at-risk (OAR) structure names from multi-lingual, multi-institutional radiotherapy datasets using state-of-the-art open-source reasoning larg...
Authors: Ara Alexandrian, Jessica Ashford, Jean-Guy Belliveau, Allison Dalton, Nathan Dobranski, Krystal M. Kirby, Garrett M. Pitcher, David E. Solis, Hamlet Spears, Angela M. Stam, Sotirios Stathakis, Jason Stevens, Rodney J. Sullivan, Sean Xavier Sullivan, Natalie N. Viscariello
Affiliation: Louisiana State University, Mary Bird Perkins Cancer Center, The University of Alabama at Birmingham, University of Alabama at Birmingham
Abstract Preview: Purpose: To improve retrospective risk analysis in radiation oncology by leveraging Large Language Models (LLMs) to extract richly annotated data from unstructured clinical incident reports.
Method...
Authors: Avinash Mudireddy, Nathan Shaffer, Joel J. St-Aubin
Affiliation: University of Iowa
Abstract Preview: Purpose: This work demonstrates preliminary results in training a reinforcement learning (RL) network to perform VMAT machine parameter optimization.
Methods: We implemented a policy gradient RL al...
Authors: Hadley Anna DeBrosse, Edward J. Stafford, Kevin A. Wunderle
Affiliation: Ohio State University, The Ohio State University
Abstract Preview: Purpose: To investigate automatic dose response curves from fluoroscopes across multiple manufacturers for an abdominal imaging protocol.
Methods: ADRC response for multiple fluoroscopes were evalu...