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Results for "Da Zhang": 128 found

4D CBCT Reconstruction Using Denoising Diffusion Implicit Models

Authors: Weixing Cai, Laura I. Cervino, Yabo Fu, Bohong Huang, Licheng Kuo, Tianfang Li, Xiang Li, Jean M. Moran, Huiqiao Xie, Hao Zhang

Affiliation: Department of Medical Physics, Memorial Sloan Kettering Cancer Center, Memorial Sloan Kettering Cancer Center

Abstract Preview: Purpose: Four-dimensional cone-beam computed tomography (4D-CBCT) is critical in image-guided radiotherapy (IGRT) for visualizing tumor motion. However, sparse projection sampling often introduces sev...

A Causal Machine Learning Analysis of Dosimetric and Clinical Predictors of Osteoradionecrosis in Head and Neck Cancer Radiotherapy

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...

A Deep Learning Approach to the Prediction of Gamma Passing Rates in VMAT Radiotherapy Plans for Adaptive Treatment.

Authors: Jenghwa Chang, Kuan Huang, Lyu Huang, Jason Lima, Jian Liu, Farzin Motamedi

Affiliation: Northwell, Department of Computer Science and Technology, Kean University, Physics and Astronomy, Hofstra University, Hofstra University Medical Physics Program

Abstract Preview: Title: A Deep Learning Approach to the Prediction of Gamma Passing Rates in VMAT Radiotherapy Plans for Adaptive Treatment.
Purpose: This study aims to develop a deep learning algorithm to predict ...

A Dual Energy CT-Guided Intelligent Radiation Therapy Platform

Authors: Jiayi Chen, Manju Liu, Ning Wen, Haoran Zhang, Yibin Zhang

Affiliation: Department of Radiation Oncology, Ruijin Hospital, Department of Radiology, Ruijin Hospital Shanghai Jiaotong University School of Medicine, Duke Kunshan University, Department of Radiation Oncology,Ruijin Hospital, Shanghai Jiao Tong University School of Medicine

Abstract Preview: Purpose: This study introduces a novel Dual Energy CT (DECT)-Guided Intelligent Radiation Therapy (DEIT) platform designed to streamline and optimize the radiotherapy process. The DEIT system combines...

A Hybrid Population-Based and Patient-Specific Framework for 2D–3D Deformable Registration-Driven Limited-Angle Cone-Beam CT Estimation

Authors: 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:
Limited-angle CBCT (LA-CBCT) reduces imaging time and dose but suffers from under-sampling artifacts. 2D–3D deformable registration addresses this problem by estimating LA-CBCTs from defor...

A Modular Approach to Reversible and Stackable Medical Imaging Translation Models: CBCT-Based Synthetic MRI with Multiple U-Nets in Series (MUNETs)

Authors: Eric Chang, Nguyen Phuong Dang, Andrew Lim, Lauren Lukas, Lijun Ma, Yutaka Natsuaki, Zhengzheng Xu, Hualin Zhang

Affiliation: Radiation Oncology, Keck School of Medicine of USC

Abstract Preview: Purpose: Harnessed the power of AI and Deep Learning (DL), Generalized Neural Network models for medical image transformation are trained to predict target images from reference images, often requirin...

A Motion Tracking Quality Assurance Platform for the Leksell Gamma Knife Hdmm System

Authors: Tsuicheng D. Chiu, Strahinja Stojadinovic, Aaron Thomlinson, You Zhang

Affiliation: Department of Radiation Oncology, UT Southwestern Medical Center, Medical Artificial Intelligence and Automation (MAIA) Lab, Department of Radiation Oncology, UT Southwestern Medical Center, The University of Texas Southwestern Medical Center, University of Texas Southwestern Medical Center

Abstract Preview: Purpose: Design and develop an automated verification and validation platform for the Elekta Leksell Gamma Knife (GK) Icon/Esprit High-Definition Motion Management (HDMM) system.

Methods: The H...

A Multi-Regional and Multi-Omics Approach to Predict Penumonitis in Patients with Locally Advanced Non-Small Cell Lung Cancer in Nrg Oncology Trial RTOG 0617

Authors: Katelyn M. Atkins, Indrin J. Chetty, Elizabeth M. McKenzie, Taman Upadhaya, Samuel C. Zhang

Affiliation: Department of Radiation Oncology,Cedars-Sinai Medical Center, Cedars-Sinai Medical Center

Abstract Preview: Purpose:
We explored a multi-regional and multi-omics approach to extract CT-based radiomics and 3D dosiomics features to predict radiation pneumonitis (RP) in patients with locally advanced Non-Sm...

A Novel Lattice Technique Based Spot Scanning Proton Arc Therapy Via Spot Sparsity Optimization and LET Optimization

Authors: Zhitao Dai, Riao Dao, Xuanfeng Ding, Qingkun Fan, Yajun Jia, Gang Liu, Gang Peng, Yujia Qian, Hong Quan, Kunyu Yang, Sheng Zhang, Lewei Zhao

Affiliation: Department of Radiation Oncology, Stanford University, Corewellhealth William Beaumont University Hospital, School of Mathematics and Statistics, Wuhan University, Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Chinese Academy of Medical Sciences Cancer Hospital Shenzhen Hospital, School of Physics and Technology,Wuhan University, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College

Abstract Preview: Purpose: Lattice radiation therapy (LRT) is an innovative three-dimensional(3D) implementation type of spatially fractionated radiation therapy (SFRT). This study aims to develop a novel spot-scanning...

A Real-Time Framework for Fiducial Tracking and Intrafraction Motion Assessment of Cyberknife in Stereotactic Body Radiation Therapy for Liver Cancer

Authors: Ruiyan Du, Mingzhu Li, Ying Li, Wei Liu, Shihuan Qin, Yiming Ren, Biao Tu, Hui Xu, Lian Zhang, Xiao Zhang, Zengren Zhao

Affiliation: Department of General Surgery, Hebei Key Laboratory of Colorectal Cancer Precision Diagnosis and Treatment, The First Hospital of Hebei Medical University, Medical AI Lab, The First Hospital of Hebei Medical University, Hebei Provincial Engineering Research Center for AI-Based Cancer Treatment Decision-Making, The First Hospital of Hebei Medical University, Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Department of Radiation Oncology, Mayo Clinic, Department of Oncology, The First Hospital of Hebei Medical University

Abstract Preview: Purpose: Fiducial tracking is widely used in CyberKnife to dynamically guide the gantry for moving target like liver cancer stereotactic body radiation therapy (SBRT). This study developed a robust fr...

A Study of Large Model Alignment Techniques for MRI Images of Small Sample Meningioma

Authors: Xiangli Cui, Man Hu, Wanli Huo, Da Yao, Jianguang Zhang, Yingying Zhang, Shanyang Zhao

Affiliation: Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, the Zhejiang-New Zealand Joint Vision-Based Intelligent Metrology Laboratory, College of Information Engineering, China Jiliang University, Departments of Radiation Oncology, Zibo Wanjie Cancer Hospital, Department of Oncology, Xiangya Hospital, Central South University, Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University, Shandong Academy of Medical Sciences

Abstract Preview: Purpose:
To study the fine-tuning strategy of pre-trained AI image generation model to adapt to the generation of small sample meningioma MRI images, explore its impact on observer performance, and...

Accelerated Proton Density Imaging Via T2-Guided Cyclegan Super-Resolution without Paired Low-Resolution and High-Resolution Data

Authors: Yunxiang Li, Xinlong 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) Laboratory, Department of Radiation Oncology, UT Southwestern Medical Center

Abstract Preview: Purpose: Acquiring high-resolution (HR) proton density (PD) images is time-consuming, while lower-resolution (LR) PD scans are faster but can lack sufficient details. We propose CycleHR, a T2-contrast...

Advancing Ionizing Radiation Acoustic Imaging: A Deep Learning Approach for Denoising and Quantitative Reconstruction

Authors: Kyle Cuneo, Issam M. El Naqa, Dale W. Litzenberg, Yiming Liu, Xueding Wang, Lise Wei, Wei Zhang, Jiaren Zou

Affiliation: University of Michigan, H. Lee Moffitt Cancer Center

Abstract Preview: Purpose: To quantitatively map 3D dose deposition during radiotherapy, empowering real-time adaptive radiation treatment.

Methods: The research features reconstructing dose deposition from acou...

Adversarial Diffusion-Based Self-Supervised Learning for High-Resolution MR Imaging

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...

An Accelerated Scatter Estimation for Spectral CBCT Based on Linear Boltzmann Transport Equation

Authors: Zhiqiang Chen, Hewei Gao, Li Zhang, Guoxi Zhu

Affiliation: Tsinghua University

Abstract Preview: Purpose: Spectral cone-beam CT has better performance in material identification and quantitative analysis compared to single-energy cone-beam CT. However, X-ray scattering introduces significant scat...

An Adaptive Radiotherapy Approach Sparing Preirradiated Critical Structures

Authors: Mohamed Bahaaeldin Mohamed Afifi, Lili Chen, Xiaoming Chen, Ahmed A. Eldib, Chang Ming Charlie Ma, Robert A. Price

Affiliation: Fox Chase Cancer Center, Radiological Sciences and Medical Imaging Department, College of Applied Medical Sciences, Prince Sattam bin Abdulaziz University.

Abstract Preview: Purpose: Reirradiation of recurrent cancer or a newly developed lesion in a proximal location poses a challenge for radiation treatments. This is occasionally encountered in many modern clinics and ef...

An Adaptive Radiotherapy Strategy Study Based on Segmented Synthesis and Deformational Registration

Authors: Jie Hu, Zhengdong Jiang, Nan Li, Tie Lv, Yuqing Xia, Shouping Xu, Gaolong Zhang, Wei Zhao, Changyou Zhong

Affiliation: School of Physics, Beihang University, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Radiotherapy Department of Meizhou People’s Hospital (Huangtang Hospital), UT Health San Antonio, National Cancer Center/ National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, Peopleʼs Republic of China, Department of Radiation Oncology

Abstract Preview: Purpose: Patients usually undergo cone-beam computed tomography (CBCT) scans which are used for patient set-up before radiotherapy. However, the low image quality of CBCT hinders its use in adaptive r...

An Efficient Workflow for X-Ray Imaging-Based IGRT/ART

Authors: Lili Chen, Ahmed A. Eldib, Chang Ming Charlie Ma

Affiliation: Fox Chase Cancer Center

Abstract Preview: Purpose: Specialized adaptive radiotherapy (ART) systems have been developed and clinically implemented, which are either cost-ineffective such as MR-linacs or inflexible in workflow such as the Ethos...

An Integrated Optimization Method for Joint Lattice Positioning and Dose Planning in Lattice Therapy

Authors: Hao Gao, Xue Hong, Harold Li, Yuting Lin, Jufri Setianegara, Xin Tong, Chao Wang, Weijie Zhang, Ya-Nan Zhu

Affiliation: Department of Radiation Oncology, University of Kansas Medical Center

Abstract Preview: Purpose: Lattice radiotherapy (LATTICE) is a form of spatially fractionated radiation therapy (SFRT) designed to deliver high radiation doses to specific tumor regions (vertices) while sparing surroun...

Application of a Conditional Diffusion Model to Improve Real-Time MR Imaging in Online Adaptive MR-Guided Radiotherapy

Authors: Hideaki Hirashima, Haruo Inokuchi, Nobutaka Mukumoto, Naruki Murahashi, Mitsuhiro Nakamura, Megumi Nakao, Keiko Shibuya, Linna Zhang

Affiliation: Kyoto University, Osaka Metropolitan University

Abstract Preview: Purpose:
To transform the quality of 2D cine MR images acquired during online adaptive MR-guided radiotherapy (OA-MRgRT) by utilizing a conditional diffusion model to achieve image quality comparab...

Artificial Intelligence (AI)-Driven Automatic Contour Quality Assurance (QA) with Uncertainty Quantification

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...

Artificial Intelligence-Powered Conventional Energy Integrating Detector-Based Coronary CT Angiography: Learning High-Resolution and Multi-Energy Imaging from Photon-Counting Detector CT

Authors: Shaojie Chang, Thomas A. Foley, Hao Gong, Emily Koons, Shuai Leng, Cynthia H. McCollough, Eric E. Williamson

Affiliation: Mayo Clinic

Abstract Preview: Purpose: To enhance coronary CT angiography (cCTA) capabilities on conventional energy integrating detector CT (EID-CT) using artificial intelligence (AI). The AI framework incorporates high-resolutio...

Assessing the Potential of Virtual Grid Portable Radiographic Systems for Radiation Dose Reduction: A Comparative Evaluation of Deviation Index in Abdominal Imaging

Authors: Gary Y. Ge, Azmul Siddique, Jie Zhang

Affiliation: Department of Radiology, University of Kentucky, University of Kentucky

Abstract Preview: Purpose: Virtual grid technology addresses scattered radiation without a physical grid, offering the potential to reduce patient radiation dose while maintaining image quality. However, this potential...

BEST IN PHYSICS IMAGING: Cross-Contrast Diffusion: A Synergistic Approach for Simultaneous Multi-Contrast MRI Super-Resolution

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...

BEST IN PHYSICS MULTI-DISCIPLINARY: Foundation Model-Empowered Unsupervised 3D Deformable Medical Image Registration

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...

Benchmarking Patient Doses for Barium Fluoroscopy Procedures: A Single-Institution Study

Authors: Wilfred R Furtado, Gary Y. Ge, Jie Zhang

Affiliation: Department of Radiology, University of Kentucky, University of Kentucky

Abstract Preview: Purpose: The United Kingdom and several other countries already have well-established diagnostic reference levels (DRLs) for gastrointestinal fluoroscopic procedures, whereas the United States does no...

Brachyplancheck: An Independent Monte Carlo Dose Calculation Tool for Brachytherapy Using Egs_Brachy

Authors: Amy Tien Yee Chang, Chi Wai Cheung, Tin Lok Chiu, Chen-Yu Huang, Chi Wa Kong, Pei-Xiong Li, Pak Hang Nam, Bin Yang, Siu Ki Yu

Affiliation: Comprehensive Oncology Centre, Hong Kong Sanatorium and Hospital, Medical Physics Department, Hong Kong Sanatorium and Hospital

Abstract Preview: Purpose: This study introduces BrachyPlanCheck, an independent Monte Carlo (MC)-based dose calculation tool for 192Ir brachytherapy retrospective study or algorithm commissioning.
Methods: BrachyPl...

CBCT-Based Synthetic CT Imaging for Proton and Photon Dose Monitoring and Adaption in Supine Breast Radiotherapy

Authors: Mark E Artz, Julie Bradley, Hardev Singh Grewal, Perry B. Johnson, Christina Klassen, Raymond Mailhot Vega, Nancy Mendenhall, Jiyeon Park, Emma V. Viviers, Yawei Zhang

Affiliation: UF Health Proton Therapy Institute, University of Florida

Abstract Preview: Purpose: Verification CTs (VFCT) are used in radiotherapy to assess patient dose during treatment. However, they are time-consuming and contribute additional radiation exposure to the patient. This st...

CT-Free PET Imaging: Synthetic CT Generation for Efficient and Accurate PET-Based Planning

Authors: Mingli Chen, Xuejun Gu, Hao Jiang, Mahdieh Kazemimoghadam, Weiguo Lu, 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:
PET is used in radiotherapy workflows for accurate target delineation. However, a separate CT scan is typically required for attenuation correction in PET imaging and for registering PET-d...

Can AI Agent be a Good Judge for Online Adaptive Radiotherapy Plan Evaluation?

Authors: Steve B. Jiang, Mu-Han Lin, Dan Nguyen, Beiqian Qi, Daniel Yang, Ying Zhang

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:
Online adaptive radiotherapy (oART) is a resource-intensive workflow requiring significant time and effort required from clinicians, particularly for the online evaluation of plan quality....

Can Contrast Scans of Dual-Layer Detector Spectral CT be Directly Used for Proton Dose Calculations?

Authors: Wen C. Hsi, Pouya Sabouri, Zhong Su

Affiliation: University of Arkansas for Medical Sciences, Department of Radiation Oncology, University of Arkansas for Medical Sciences (UAMS)

Abstract Preview: Purpose:
Traditional single-energy CT (SECT) contrast scans cannot be used for proton dose calculations due to significantly higher HU caused by iodine. Dual-layer dual-energy CT (DL-DECT) can dire...

Can We Use Smaller Margin for the Planned Target Volume with Adaptive Radiotherapy?

Authors: Mahmoud H Abdelgawad, Shahabeddin mostafanazhad Aslmarand, Lili Chen, Xiaoming Chen, Ahmed A. Eldib, Teh Lin, Chang Ming Charlie Ma, Robert A. Price

Affiliation: Physics department, Faculty of science, Al-Azhar University, Fox Chase Cancer Center

Abstract Preview: Purpose: Many modern radiotherapy clinics are moving to online adaptive radiotherapy. A recent upgrade of the CBCT-based adaptive radiotherapy system introduced ultra-high-speed image acquisition. Thi...

Characterization of a Novel Large-Sized Epid System from the Newly Released Ring Shape Radiation Therapy Halos Tx

Authors: Sen Bai, Guyu Dai, Dong Gao, Lecheng Jia, Guangjun Li, Yanfang Liu, Ying Song, Qing Xiao, Wei Zhang

Affiliation: United Imaging Healthcare, West China Hospital of Sichuan University, Shenzhen United Imaging Research Institute of Innovative Medical Equipment

Abstract Preview: Purpose:
Electronic portal imaging device (EPID) is currently the most widely used in-vivo dosimetry (IVD) device. However, the effective detector area shortage hinders further applications. This s...

Characterizing and Modeling Higher-Order Motions of Collimator Subsystem on a 60RPM Gantry Linac for Improved Small Target Dosimetry

Authors: David J. Carlson, Yiu-Hsin Chang, Huixiao Chen, Zhe (Jay) Chen, Blake Gaderlund, Ray Yang

Affiliation: RefleXion Medical, Department of Therapeutic Radiology, Yale University School of Medicine

Abstract Preview: Purpose: To address the root cause of dosimetric discrepancy for small central targets (<2cm) especially sensitive to geometric alignment of beamlets, by modeling higher-order oscillations of the coll...

Commission and Clinical Implementation of the 1st Step-and-Shoot Proton Arc Therapy for Head and Neck Cancer Patient Treatment

Authors: Xiaoda Cong, Rohan Deraniyagala, Xuanfeng Ding, Xiaoqiang Li, Jian Liang, Peilin Liu, Craig Stevens, Xiangkun Xu, Weili Zheng

Affiliation: Corewell Health William Beaumont University Hospital, Corewellhealth William Beaumont University Hospital, William Beaumont University Hospital, Corewellhealth William Beaumont Hospital, Department of Radiation Oncology, Corewell Health William Beaumont University Hospital

Abstract Preview: Purpose:
Commission a step-and-shoot arc therapy(SPArc-step&shoot) for treating head-neck cancer patients as a desired interim milestone toward full dynamic treatment.
Methods:
An in-house de...

Comparison Study of Shift Frequency and Magnitude By Prostate Fiducial Tracking System: Triggered Image and Calypso

Authors: David J. Carlson, Yiu-Hsin Chang, Zhe (Jay) Chen, Hyosung Cho, Dae Yup Han, MinYoung Lee, Weili Zhong

Affiliation: Department of Therapeutic Radiology, Yale University School of Medicine, Yonsei University

Abstract Preview: Purpose:
To compare the intra-fractional motion tracking sensitivity of prostate fiducial markers using triggered imaging and calypso tracking for prostate cancer cases.
Methods:
This study w...

Comparison of Patient Localization on Visionrt Alignrt and Varian Identify

Authors: Ahmed A. Eldib, Teh Lin, Chang Ming Charlie Ma

Affiliation: Fox Chase Cancer Center

Abstract Preview: Purpose: Surface imaging has been used clinically more regularly. The accuracy of several commercial products has been studied. AAPM TG302 also has proposed the system quality assurance and commission...

Deep Learning-Based Denoising for Template Matching in Real-Time Tumor Tracking Using Kv Scattered X-Ray Imaging

Authors: Weikang Ai, Xiaoyu Hu, Xun Jia, Kai Yang, Yuncheng Zhong

Affiliation: Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Massachusetts General Hospital, Department of Biomedical Engineering, Johns Hopkins University, Johns Hopkins University

Abstract Preview: Purpose: Real-time tumor tracking is critically important for respiratory motion management for lung cancer radiotherapy. A previously proposed application of a photon counting detector involves measu...

Deep Learning-Based Fast CBCT Imaging with Orthogonal X-Ray Projections for Gynecological Cancer Radiotherapy

Authors: Beth Bradshaw Ghavidel, Chih-Wei Chang, Yuan Gao, Priyanka Kapoor, Shaoyan Pan, Junbo Peng, Richard L.J. Qiu, Jill Remick, Justin R. Roper, Zhen Tian, Xiaofeng Yang

Affiliation: Whinship Cancer Institute, Emory University, Emory University, University of Chicago, Department of Radiation Oncology and Winship Cancer Institute, Emory University

Abstract Preview: Purpose: Current cone-beam computed tomography (CBCT) typically requires no less than 200 degrees of angular projections, which prolongs scanning time and increases radiation exposure. To address thes...

Deep Learning-Based Metric Vs Global Noise for CT Image Quality Assessment

Authors: Gary Y. Ge, Abdullah-Al-Zubaer Imran, Kazi Ramisa Rifa, Charles Mike Weaver, Jie Zhang

Affiliation: University of Kentucky

Abstract Preview: Purpose: With renewed attention on CT radiation dose management following CMS approval of new dose measures, establishing image quality–based target doses for every protocol has become essential. Whil...

Deep Learning-Based Plan Quality Prediction for Gamma Knife Radiosurgery of Brain Metastases

Authors: Chih-Wei Chang, Runyu Jiang, Mark Korpics, Yuan Shao, Aranee Sivananthan, Zhen Tian, Ralph Weichselbaum, Xiaofeng Yang, Aubrey Zhang, Xiaoman Zhang

Affiliation: Department of Radiation & Cellular Oncology, University of Chicago, University of Chicago, Department of Physics, University of Chicago, Emory University, Department of Radiation Oncology and Winship Cancer Institute, Emory University, School of Public Health, University of Illinois Chicago

Abstract Preview: Purpose: Gamma Knife (GK) plan quality can vary significantly among planners, even for cases handled by the same planner. Although plan quality metrics such as coverage, selectivity, and gradient inde...

Deep Learning-Based Ventricular Auto-Segmentation for Dosimetric Analysis in Intraventricular Tumor SRS

Authors: John Byun, Juan J Cardona, Steven D Chang, Cynthia Fu-Yu Chuang, Xuejun Gu, Yusuke Hori, Hao Jiang, Fred Lam, Lianli Liu, Weiguo Lu, David Park, Erqi Pollom, Elham Rahimy, Deyaaldeen Abu Reesh, Scott Soltys, Gregory Szalkowski, Lei Wang

Affiliation: Department of Radiation Oncology, Stanford University, Department of Neurosurgery, Stanford School of Medicine, Department of Neurosurgery, Stanford University, 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:
Intraventricular tumors pose significant challenges in neurosurgery due to their complex location. Therefore, brain SRS could be a better treatment option. At our institution, some patient...

Deep Learning–Based Dose Prediction for Automated Proton Radiation Therapy Planning of Breast Cancer

Authors: Ahssan Balawi, Peter Jermain, Timothy Kearney, Sonali Rudra, Michael H. Shang, Markus Wells, Mohammad Zarenia

Affiliation: Department of Radiation Medicine, MedStar Georgetown University Hospital

Abstract Preview: Purpose: To investigate the applicability and accuracy of a deep learning (DL) model in predicting radiation dose distribution for breast cancer patients treated with pencil-beam-scanning proton radio...

Determine Noise Weighting Factor in Photon-Counting CT Via Deep Learning for Personalized Noise Reduction

Authors: Xinhui Duan, Roderick W. McColl, Mi-Ae Park, Liqiang Ren, Gary Xu, Kuan Zhang, Yue Zhang

Affiliation: UT Southwestern Medical Center, Department of Radiology, UT Southwestern Medical Center, Imaging Services, UT Southwestern Medical Center

Abstract Preview: Purpose:
Image-based deep-learning noise-reduction techniques have been developed for photon-counting CT (PCCT) to improve image quality with reduced radiation dose. The denoising strength is typic...

Developing and Evaluating the First Pre-Treatment Physics Plan Checklist for Error Detection in Biology-Guided Radiotherapy (BgRT)

Authors: Michael Burke, David J. Carlson, Yiu-Hsin Chang, Huixiao Chen, Zhe (Jay) Chen, Emily A. Draeger, Dae Yup Han, Vanessa Hill, Ann-Teresa Jasman, John Kim, Svetlana Kuznetsova, MinYoung Lee, Daniel Longo, Henry S. Park, Adam Shulman, Lauren Tressel, Weili Zhong

Affiliation: Department of Therapeutic Radiology, Yale University School of Medicine

Abstract Preview: Purpose:
The complexity of biology-guided radiotherapy (BgRT), particularly with systems like RefleXion X1, necessitates robust pre-treatment quality assurance (QA) to ensure patient safety, treatm...

Development and Validation of a Deep Learning-Based Auto-Segmentation Module for Vestibular Schwannoma

Authors: John Byun, Steven D Chang, Cynthia Fu-Yu Chuang, Xuejun Gu, Melanie Hayden Gephart, Yusuke Hori, Fred Lam, Gordon Li, Lianli Liu, Weiguo Lu, David Park, Erqi Pollom, Elham Rahimy, Deyaaldeen Abu Reesh, Scott Soltys, Gregory Szalkowski, Lei Wang, Xianghua Ye, Kangning Zhang

Affiliation: Medical Artificial Intelligence and Automation (MAIA) Lab, Department of Radiation Oncology, UT Southwestern Medical Center, Department of Neurosurgery, Stanford University, Department of Radiation Oncology, Stanford University, Department of Radiation Oncology, Stanford University School of Medicine

Abstract Preview: Purpose: Accurate and automated delineation of vestibular schwannoma (VS) volume is crucial for disease management, as both treatment approaches (stereotactic radiosurgery and invasive surgery) and mo...

Development of a Visualization Tool for LET and Proton Spot Mapping for PB Treatment Planning

Authors: Chang Chang, Mohammad Kanber, Stephen Kenneth Northway

Affiliation: East Carolina University, California Protons Cancer Therapy Center, California Proton Cancer Therapy Center

Abstract Preview: Purpose:
Proton therapy treatment planning involves the consideration of unique physical quantities such as Linear Energy Transfer (LET) and spot location maps that do not exist in photon treatment...

Development of an MRI Guided Precision Small Animal Radiotherapy System

Authors: Yaowen Cao, Yunwen Huang, Yidong Yang, Xiaogang Yuan, Ning Zhao, Cheng Zheng

Affiliation: Department of Life Sciences and Medicine, University of Science and Technology of China, Department of Engineering and Applied Physics, University of Science and Technology of China, University of Science and Technology of China

Abstract Preview: Purpose: MRI has better soft tissue contrast than cone beam CT which is commonly used in image guided radiotherapy. This study aims to develop a low-field MRI system for precision small animal radiati...

Development of an Orthogonal X-Ray Projections-Guided Cascading Volumetric Reconstruction and Tumor-Tracking Model for Adaptive Radiotherapy

Authors: Penghao Gao, Zejun Jiang, Huazhong Shu, Linlin Wang, Gongsen Zhang, Jian Zhu

Affiliation: Laboratory of Image Science and Technology, Key Laboratory of Computer Network and Information Integration, Southeast University, Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Artificial Intelligence Laboratory, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences

Abstract Preview: Purpose: We propose a cascading framework for time-varying anatomical volumetric reconstruction and tumor-tracking, guided by onboard orthogonal-view X-ray projections.
Methods: We employe multiple...

Direct Dose Verification in Liver SBRT Utilizing an Accumulative Daily CBCT Algorithm

Authors: Michael Buckstein, Yang Lei, Tian Liu, Charlotte Elizabeth Read, Jing Wang, Kaida Yang, Jiahan Zhang

Affiliation: Icahn School of Medicine at Mount Sinai

Abstract Preview: Purpose: Inter-fraction anatomic variations in liver SBRT can cause significant discrepancies between planned and delivered doses. We developed a CBCT-based accumulative algorithm to directly compare ...

Direct Table Rotational Isocenter Determination Using Radiation Isocenter

Authors: Christopher Ackerman, Chang Chang, Yansong Liu, Stephen Kenneth Northway, Bailey Vallejo

Affiliation: University of California San Diego / California Protons, California Protons Cancer Therapy Center, California Proton Cancer Therapy Center

Abstract Preview: Purpose: To determine mechanical isocenter of a 6-degree-of-freedom (6DOF) couch using radiation isocenter. Coincidence between the isocenters is quantified using MyQA Phoenix amorphous silicon detect...

Dosimetric Evaluation of Comprehensive Motion Management in 1.5T MR-Linac for Real-Time Gated Radiotherapy

Authors: Kin Yin Cheung, Chen-Yu Huang, Chi Wah Kong, Ka Ki Lau, Pei-Xiong Li, Pak Hang Nam, Mei Yan Tse, Jierong Wang, Bin Yang, Siu Ki Yu, Jing Yuan, Chi To Yung, Shang Peng Felix Yung

Affiliation: Medical Physics Department, Hong Kong Sanatorium and Hospital, Research Department, Hong Kong Sanatorium and Hospital

Abstract Preview: Purpose: Intrafraction motion management remains a major challenge in magnetic resonance-guided radiotherapy (MRgRT). The recent clinical release of an active motion management system aims to enhance ...

Dosimetry Impact of Overlapping Reconstruction of CT Simulation in Stereotactic Radiosurgery Planning

Authors: Matthew Stephen Andriotty, Chi Ma, Xiao Wang, Keying (Karen) Xu, Suhong Yu, Ning J. Yue, Yin Zhang

Affiliation: Brigham and Women's Hospital, Rutgers Cancer Institute of New Jersey

Abstract Preview: Purpose: To evaluate the effects of overlapping CT reconstruction on dosimetry calculation for LINAC-based SRS patients simulated on CT simulators from three different vendors.
Methods: CT simulati...

Dual Energy Cone Beam Computed Tomography for Artifact Reduction and Enhanced Image Quality Using Existing Hardware in Radiation Therapy

Authors: Michael J. Choi, Vindu Wathsala Kathriarachchi, Christopher L. Nelson, Andrew P. Soderstrom, Yawei Zhang

Affiliation: The University of Texas MD Anderson Cancer Center, MD Anderson, UF Health Proton Therapy Institute

Abstract Preview: Purpose: Cone Beam Computed Tomography (CBCT) is widely used in image-guided radiation therapy for patient positioning. While kV photons offer high image contrast, they are prone to artifacts caused b...

Dual-Branch Attention-Driven Network for Enhanced Sparse-View CBCT Reconstruction Using Planning CT As Prior Knowledge

Authors: Xiaoyi Dai, Manju Liu, Weiwei Sang, Pulin Sun, Fan Xia, Zhenyu Yang, Fang-Fang Yin, Chulong Zhang, Rihui Zhang

Affiliation: Jiahui International Hospital, Radiation Oncology, Duke Kunshan University, Medical Physics Graduate Program, Duke Kunshan University

Abstract Preview: Purpose:
Current deep learning-based sparse-view CBCT reconstruction methods are prone to hallucinatory artifacts, as they rely on inferred image details that may not correspond to true anatomical ...

Efficient Monte Carlo Proton Dose Calculation Using Denoising Diffusion Probabilistic Models

Authors: Chieh-Ya Chiu, Shen-Hao Li, Hsin-Hon Lin, Shu-Wei Wu

Affiliation: Department of Medical Imaging and Radiological Sciences, Chang Gung University, Proton and Radiation Therapy Center, Chang Gung Memorial Hospital Linkou

Abstract Preview: Purpose: Monte Carlo simulation enables precise calculation of dose distribution in proton therapy through tracing the radiation particles with patient tissues. However, achieving clinical-level preci...

Efficient Robustness Optimization in Intensity Modulated Proton Therapy for Head and Neck Cancer Via Visual State Space Attention Generative Adversarial Networks (VSSA-GAN)

Authors: Nan Li, Yaoying Liu, Shouping Xu, Gaolong Zhang

Affiliation: Department of Radiation Oncology, School of Physics, Beihang University, School of physics, Beihang University, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College

Abstract Preview: Purpose: In intensity-modulated proton therapy (IMPT) for head and neck cancer, CBCT registration ensures accurate setup, minimizing dose errors. Unlike IMRT, IMPT plans directly define tumor volumes ...

Enhance Four-Dimension Cone-Beam Computed Tomography (4D-CBCT) from Sparse Views Using a Novel Deep Learning Model

Authors: Lei Ren, Jie Zhang

Affiliation: University of Maryland School of Medicine

Abstract Preview: Purpose: 4D-CBCT is valuable for imaging anatomy affected by respiratory motions to guide radiotherapy delivery. However, 4D-CBCT often has undersampled projections acquired in each respiratory phase ...

Enhancing the CT Contrast Via Attention-Gated Contrast Enhancement Gan (AGCE-GAN)

Authors: Nan Li, Yaoying Liu, Shouping Xu, Xinlei Xu, Gaolong Zhang

Affiliation: School of Physics, Beihang University, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, School of physics, Beihang University, Beihang University, Department of Radiation Oncology

Abstract Preview: Purpose:
CT simulation is essential for radiation therapy preparation but has limitations in distinguishing lesions. Contrast-enhanced CT (CECT) improves lesion detection and characterization, but ...

Evaluating Normal Tissue Toxicity Following Pulsed Low Dose Rate Radiotherapy

Authors: Shahabeddin mostafanazhad Aslmarand, Lili Chen, Dusica Cvetkovic, Troy A. Dos Santos, Chang Ming Charlie Ma, Dae-Myoung Yang

Affiliation: Fox Chase Cancer Center

Abstract Preview: Purpose:
Pulsed low-dose-rate radiotherapy (PLDR) has been proposed to reduce normal tissue toxicity while maintaining tumor control comparable to conventional radiotherapy (CRT). This study assess...

Evaluation of Daily Respiratory Pattern from a Single Free-Breathing Cone Beam CT Scan

Authors: Weixing Cai, Laura I. Cervino, Yabo Fu, Xiuxiu He, Tianfang Li, Xiang Li, Hao Zhang

Affiliation: Department of Medical Physics, Memorial Sloan Kettering Cancer Center

Abstract Preview: Purpose:
This work aims to develop an innovative technique to evaluate patients’ daily respiratory pattern using three-dimensional (3D) deformation vector fields (DVF) derived from a free-breathing...

Evaluation of Hybrid Dynamic Conformal Arc Planning for SRS and SBRT Treatment

Authors: Pat Esposito, Ashley Klein, Carmine Verna, Ling Zhuang

Affiliation: Northwestern Medicine

Abstract Preview: Purpose: To evaluate dosimetric parameters and treatment delivery efficiency between volumetric modulated arc therapy (VMAT) and hybrid dynamic conformal arc (HDCA) on SRS and SBRT planning through st...

Evaluation of Lead Glasses Efficiency in Reducing Eye Radiation Exposure during Angiography Using Optically Stimulated Luminescence Dosimeters

Authors: Yu-Ying Lin, Yu Chen Shen

Affiliation: Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital, Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital at Linkou

Abstract Preview: Purpose: This study evaluates the protective efficiency of lead glasses against radiation exposure to the eyes during angiography using optically stimulated luminescence dosimeters (OSLDs).
Methods...

Evaluation of MRI Distortion across a Multi-Site Health System and the Importance of MRI Distortion QA in Stereotactic Radiosurgery (SRS)

Authors: Emel Calugaru, Jenghwa Chang, Sean T Grace, Nicholas Harvey, Jessica Jung, Ching-Ling Teng

Affiliation: Northwell, Hofstra University, Hofstra University Medical Physics Program

Abstract Preview: Purpose: To evaluate the consistency of MRI distortion corrections across Northwell Health system and evaluate the necessity and importance of distortion QA for MRIs used for stereotactic radiosurgery...

Evaluation of Treatment Planning Feasibility and Dosimetric Quality of the Reflexionā„¢ X1 System for Complex Spinal Targets

Authors: Thomas I. Banks, Bin Cai, Andrew R. Godley, Yang Kyun Park, Hao Peng, Rameshwar Prasad, Chenyang Shen, Shunyu Yan, Haozhao Zhang

Affiliation: Medical Artificial Intelligence and Automation (MAIA) Lab, Department of Radiation Oncology, UT Southwestern Medical Center, UT Southwestern Medical Center, University of Texas Southwestern Medical Center

Abstract Preview: Purpose:
The RefleXionĀ® X1 (RefleXion Medical, Inc., Hayward, CA) uniquely integrates KVCT and PET as on-board image guidance for radiotherapy. It has been installed and commissioned for clinical u...

Evaluation of the Dosimetric Characteristics of Multi-Layers of Brass Mesh Bolus for Electron Treatment

Authors: Yunzhi Ma, Ling Zhuang

Affiliation: Northwestern Medicine

Abstract Preview: Purpose: Multiple layers of brass mesh bolus (RPD, Inc., Albertville, MN) may be needed to provide better body conformity and sufficient dose build up on patient surface during electron treatment. Thi...

Examples and suggestions on Tools and automation for the upgrade QA

Authors: Baoshe Zhang

Affiliation: Department of Radiation Oncology, University of Maryland School of Medicine

Abstract Preview: N/A...

Feasibility Study of Deep Learning-Based MRI-to-PET Generation for Rectal Cancer: Overall Survival Prediction and Pathological Complete Response Assessment

Authors: Weigang Hu, Zhenhao Li, Jiazhou Wang, Xiaojie Yin, Zhen Zhang

Affiliation: Fudan University Shanghai Cancer Center

Abstract Preview: Purpose:
This study aims to develop and validate a novel deep learning method to generate synthetic PET images for rectal cancer from MRI data. By incorporating metabolic information from the synth...

From Concept to Clinic: A Phase-Based Approach for Implementing Auto-Segmentation in Radiation Therapy

Authors: Elizabeth L. Covington, Robert T. Dess, Charles S. Mayo, Michelle L. Mierzwa, Dan Polan, Jennifer Shah, Claire Zhang

Affiliation: University of Michigan, Department of Radiation Oncology, University of Michigan

Abstract Preview: Purpose: Auto-segmentation improves contour consistency and standardization in radiation therapy but may introduce variations from current practices, potentially impacting treatment outcomes and toxic...

Functional Liver Image Guided Radiation Planning Using MRI with a Contrast Agent

Authors: Kenneth L. Homann, Natalie A Lockney, Hong Zhang

Affiliation: Department of Radiation Oncology, Vanderbilt University Medical Center, Vanderbilt University Medical Center

Abstract Preview: Purpose: The aim of this study is to develop a treatment planning methodology utilizing liver functional imaging via contrast-enhanced Magnetic Resonance Imaging (MRI) in patients undergoing stereotac...

Generating 3D Brain in Volume (BRAVO) Images Using Attention-Gated Conditional Gan (AGC-GAN)

Authors: Nan Li, Shouping Xu, Gaolong Zhang, Xuerong Zhang

Affiliation: Department of Radiation Oncology, HeBei YiZhou proton center, School of Physics, Beihang University, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College

Abstract Preview: Purpose:
The 3D BRAVO sequence is an advanced magnetic resonance (MR) technique that allows for image reconstruction at any angle. It offers 1 mm gapless scanning and has a high signal-to-noise rat...

Hypersight-Archer Study: Improved Target Coverage and Organ-at-Risk Sparing Via Adaptive Radiotherapy of Head and Neck Cancer Using Direct-Dose Calculation on Cone Beam CT

Authors: Cheryl Anderson, Lara Best, Amanda Cherpak, Jennifer DeGiobbi, Marc C. LeBlanc, R. Lee MacDonald, Peter R. Martin, Natasha McMaster, Murali Rajaraman, James L. Robar, Lucy Ward, Derek Wilke, Kenny Zhan

Affiliation: Department of Radiation Oncology, QE2 Cancer Centre, Nova Scotia Health

Abstract Preview: Purpose: This work investigates the potential benefit of adaptive planning using the Ethos radiotherapy system (Varian Medical Systems) with direct-dose calculation on HyperSight cone beam CT (CBCT) f...

Impact of Arc Number Variation on VMAT Lattice Radiotherapy Plans

Authors: Minbin Chen, Gang Liu, Manju Liu, Weiwei Sang, Pulin Sun, Mingyuan Ye, Fang-Fang Yin, Lihua Zhang, Haiming Zhu

Affiliation: Jiahui International Hospital, Radiation Oncology, Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Medical Physics Graduate Program, Duke Kunshan University, Duke Kunshan University, The First People's Hospital of Kunshan

Abstract Preview: Purpose: This study aims to evaluate the effects of varying the number of arcs on treatment plans created using Volumetric Modulated Arc Therapy (VMAT) for Lattice radiotherapy (LRT).
Methods: Thre...

Impact of Respiratory Motion and MRI Sequences on Tumour Volume Determination in MR-Guided Radiotherapy

Authors: Kin Yin Cheung, Chen-Yu Huang, Chi Wa Kong, Pei-Xiong Li, Pak Hang Nam, Bin Yang, Siu Ki Yu, Chi To Yung

Affiliation: Medical Physics Department, Hong Kong Sanatorium and Hospital

Abstract Preview: Purpose:
The Elekta Unity system facilitates daily adaptive radiotherapy using MRI-based treatment planning. However, MR images are prone to motion artefacts caused by respiratory motion, potential...

Improving Mammography Diagnosis Accuracy through Global Context and Local Lesion Integration

Authors: Minbin Chen, Xiaoyi Dai, Xiaoyu Duan, Chunhao Wang, Fan Xia, Zhenyu Yang, Fang-Fang Yin, Chulong Zhang, Rihui Zhang

Affiliation: Duke University, Duke Kunshan University, Medical Physics Graduate Program, Duke Kunshan University, The First People's Hospital of Kunshan

Abstract Preview: Purpose: Deep learning (DL)-based mammography diagnosis presents unique challenges, as accurate interpretation requires both global breast condition analysis and local lesion structural information. E...

Incorporating Cyclic Group Equivariance into Deep Learning for Reliable Reconstruction of Rotationally Symmetric Tomography Systems

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...

Integrating Knowledge-Based Planning with Ethos 2.0 for High-Quality Online Adaptive Lung SABR

Authors: Shahed Badiyan, Chien-Yi Liao, Mu-Han Lin, Dan Nguyen, Justin D. Visak, Hui Ju Wang, Brien Timothy Washington, Kenneth Westover, Yuanyuan Zhang

Affiliation: 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, Medical Artificial Intelligence and Automation (MAIA) Lab, Department of Radiation Oncology, UT Southwestern Medical Center, UT Southwestern Medical Center, Department of Radiation Oncology, UT Southwestern Medical Center

Abstract Preview: Purpose: Knowledge-based planning (KBP) plays a crucial role in improving treatment plans by leveraging previous clinical data to guide new cases. KBP is applied to the Ethos 2.0 Intelligent Optimizat...

Inter-Patient Adaptive Radiotherapy (IPART): A CT Simulation and Planning Free Approach Enabling Immediate Treatment Access for Patients.

Authors: Bin Cai, Andrew R. Godley, Brian A. Hrycushko, Heejung Kim, Mu-han Lin, David D.M. Parsons, Justin D. Visak, Da Wang, Tingliang Zhuang

Affiliation: Department of Radiation Oncology, UT Southwestern Medical Center, Dallas, TX, 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, Department of Radiation Oncology, UT Southwestern Medical Center

Abstract Preview: Purpose: The standard radiation therapy workflow requires CT-simulation and planning, whether for initial treatments or re-planning due to significant anatomical changes. IPART instead uses one patien...

Investigating in-Vivo Megavoltage Radiodynamic Therapy from 6 to 45MV Photon Beam Radiation Therapy with 5-Aminolevulinic Acid

Authors: Lili Chen, Dusica Cvetkovic, Chang Ming Charlie Ma, Dae-Myoung Yang

Affiliation: Fox Chase Cancer Center

Abstract Preview: Purpose: 5-aminolevulinic acid (5-ALA)-mediated radiodynamic therapy (RDT) has been shown to be an effective treatment option using high-energy photon beams. RDT utilizes tumoricidal capabilities caus...

Investigation of 5-Aminolevulinic Acid and Acridine Orange in Radiodynamic Therapy: An in Vitro Study

Authors: Lili Chen, Dusica Cvetkovic, Tristan K. Gaddis, Chang Ming Charlie Ma, Dae-Myoung Yang

Affiliation: Fox Chase Cancer Center

Abstract Preview: Purpose:
Recent studies have shown that combining photosensitizers with radiation therapy can enhance tumor control while reducing damage to normal tissues, a technique known as Radiodynamic Therap...

Investigation of Flash Proton Irradiation Induced DNA Double Strand Breaks Under Different Free Radical Scavenger Environments

Authors: Hansong Bai, Peter Jermain, Xun Jia, Heng Li, Devin Miles, Daniel Sforza, Michael H. Shang, Daniel Robert Strauss, Keith Unger, Lingshu Yin

Affiliation: Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, MedStar Georgetown University Hospital, Johns Hopkins University, Department of Radiation Medicine, MedStar Georgetown University Hospital

Abstract Preview: Purpose: To investigate DNA Double Strand Break (DSB) induced by FLASH proton irradiation in a repair-free plasmid DNA model under different free radical scavenging conditions in plateau and Bragg pea...

Liver Tumor Auto-Contouring Using Recurrent Neural Networks on MRI-Linac for Adaptive Radiation Therapy

Authors: Yan Dai, Jie Deng, Christopher Kabat, Weiguo Lu, Ying Zhang, Hengrui Zhao

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, Medical Artificial Intelligence and Automation (MAIA) Lab & Department of Radiation Oncology, UT Southwestern Medical Center

Abstract Preview: Purpose:
MRI-guided adaptive radiotherapy (MRgART) using MR-LINAC systems offers significant advantages for liver cancer, enabling superior tumor delineation and online plan adaptation. However, ma...

Management of 4D CBCT Dose for Patients with Implanted Cardiac Devices

Authors: Won Chang, Vadim L. Stakhursky, Yevgeniy Vinogradskiy

Affiliation: Jefferson Einstein, Alliance Cancer Specialists, Thomas Jefferson University

Abstract Preview: Purpose: 4DCBCT is a powerful tool for localization of moving targets when treating lung tumors with hypofractionated regimens (SBRT). However, for patients with implanted cardiac devices (ICD) in clo...

Measurement of Radiation and Cavity Theory

Authors: Chang Ming Charlie Ma

Affiliation: Fox Chase Cancer Center

Abstract Preview: N/A...

Minimizing Abscopal Effects in Normal Tissues with Flash-RT: Mechanisms of Action and Potential Clinical Applications

Authors: Liang Cui, Xingyu Lu, Hang Shang, LingHong Zhou

Affiliation: Southern Medical University

Abstract Preview: Purpose: This study examines how varying dose rates of radiotherapy impact normal tissues outside the target area and analyzes the protective effects and regulatory mechanisms of ultra-high dose rate ...

Multi-Scale, Multi-Task Framework with Jacobian Descent for Multi-Plan Dose Prediction in Sequential Boost Radiotherapy

Authors: Steve B. Jiang, Mu-Han Lin, Yu-Chen Lin, Austen Matthew Maniscalco, Dan Nguyen, David Sher, Xinran Zhong

Affiliation: Medical Artificial Intelligence and Automation (MAIA) Lab & Department of Radiation Oncology, UT Southwestern Medical Center, Medical Artificial Intelligence and Automation (MAIA) Lab, Department of Radiation Oncology, UT Southwestern Medical Center, UT Southwestern Medical Center, Department of Radiation Oncology, UT Southwestern Medical Center, UT Dallas

Abstract Preview: Purpose:
Sequential boost radiotherapy (RT) poses a challenge in allocating dose across multiple plans while protecting organs at risk (OARs). Clinicians must decide whether OAR sparing should occu...

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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. Pattaserial, Lindsey M. Patton, Taylor J. Patton, Nava R. Paudel, Timothy John Paul, Colin Paulbeck, Olga V. Pen, Cheng Peng, Yuanlin Peng, Carmelo Perez, Dominik PeruŔko, Alexander Pevsner, Douglas Pfeiffer, Melanie Piantino, Daniel Piatigorski, Rajesh Pidikiti, Natalie Piechowska, Greg Pierce, Tina Pike, Donika Plyku, Robert Pohlman, Mariela Adelaida Porras-Chaverri, Subechhya Pradhan, Guillem Pratx, Chris Proctor, Alexander Pryanichnikov, Diane Pugel, Yue Qiu, Adam C. Quinton, Todd Racine, Andrea Radine, Dustin K. Ragan, Balasubramanian Rajagopalan, Kishore Rajendran, Eric V. Ramirez, Mehdi Ramshad, Vijay K. Rana, Brianne Raulston, Amy K. Readshaw, Hailey Reaux, Ian Reineck, Xuemin Ren, Meral L. Reyhan, Davenport Ria, Matthew J. Riblett, Kenneth M. Richardson, Rebecca F Richardson, Matthew Richeson, Ashlyn Rickard, Adam Riegel, Lynn N. Rill, Miguel A. Rios, E. Russell Ritenour, Scott P. Robertson, Marthony L. 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. Hershey Med Ctr., New York Weill Cornell Medical Ctr, X-Ray Computations, Inc., US Navy, Penn State Health, Kelsey Seybold Clinic, Advocate Aurora, Fresno Cancer Center, Central Alabama Radiation Oncology, Riverside Methodist Hospital Ohio Health, Alliance Medical Physics, OCSRI, AAPM, University of Minnesota, University of Virginia Health System, PGIMER, Barrigel, Johns Hopkins Univ, Appex Physics Partners, BoxElder Research, University of Oklahoma Health Sciences Center, Sanford Roger Maris Cancer Center, Berkshire Medical Center, New York Weill Cornell Medicine, Mobimed Technologies, University of Chicago Medicine, Johns Hopkins Medicine, Maimonides Medical Center, Nuvance Health - Vassar Brothers, Crozer Keystone Health System, Karmanos/McLaren, Vanderbilt University, Panhandle Cancer Care Center, The University of Michigan, Piedmont Healthcare, Gamma Medical Physics LLC, Mississippi Baptist Medical Center, Astarita Associates Inc, Landauer Medical Physics, RPS Oncology, Zhejiang University, University of North Carolina School of Medicine, University of Kentucky HealthCare, Peninsula Regional Medical Center, Varian Advanced Oncology Solutions, New York Proton Center, Wake Forest University Medical Center, Rutgers Robert Wood Johnson Medical School, Tx Oncology, Lewis Hall Singletary Oncology Center (John D. Archbold Hospital), Medical Physics Services, University of New Mexico, UPMC Cancer Center, Medical Physics Solutions, LLC, ECU Health, Evercare Hospital Chattogram, Mercy Cancer Center, Sharp Grossmont Hospital, West Virginia University, Virginia Commonwealth University Medical Center, Thomas Jefferson University, Centennial Medical Physics, LLC, University of California, Davis, University of Miami, Varian, Inc., UAB Medical Center, Wellspan health, Cleveland Clinic Foundation, Procure Treatment Center, Retired FDA, Tufts Medical Center, Virginia Commonwealth University, Germantown Academy, Hartford Hospital, Cleveland Clinic Florida, Billings Clinic, Imalogix, University of Wisconsin - Madison, Dana Farber Cancer Institute, Massachusetts General Hospital, Johns Hopkins University, GenensisCare, VARIAN Siemens Healthineers, MedStar Washington Hospital, Illawarra Cancer Care Center, Duke Health, Corewell Health, Columbia University, Johns Hopkins, Baylor Scott & White Health, Ascension Saint Thomas Rutherford Hospital, Varian, a Siemens Healthineers company, Rabin Medical Center, Albany - Stratton VA, Florida Cancer Specialists at Tampa Cancer Center, Baylor St Lukes Medical Center, Baylor College of Medicine, Christiana Care Health System, West Physics, Mayo Clinic Arizona, Emory University, University of Pittsburgh Medical Center, Brigham and Women's Hospital, UCLA, CoxHealth, Starsino Medical Technologies Co Ltd, University of Utah Hospitals, Lahey Health Medical Center, Paul Scherrer Institute (PSI), Karmanos Cancer Institute, Radcom Associates, LLC, Ascension Wisconsin, The University of Alabama at Birmingham, Winter Park Cancer Center, Louisiana State University, UT Health San Antonio, Intermountain Health, Penn Medicine/Lancaster General Health, Elekta Xoft, University of KY HealthCare, Rutgers, Cancer Institute of New Jersey, Real Time Tomography LLC, Toronto Metropolitan University, UCSD, Dartmouth College, Ascension St. Thomas Rutherford hospital, City of Hope, Radiation Management Associates, Levine Cancer Institute, Atrium Health, Varian Medical Systems, Blount Memorial Hospital, Penn State University, Therapy Physics, Inc., Northwest Community Hospital, Duke University Medical Center, Advent Health, Miami Cancer Institute, Washington State Department of Health, Lantheus Medical Imaging, Chesapeake Potomac Regional Cancer Center, MRP Inc., University of Chicago, University of Tennessee Medical Center, Huntsman Cancer Institude, University of Utah, Oregon Health and Science University, Hutchinson Regional Medical Center, Winchester Medical Center, WellSpring Oncology, Medical School of East Carolina Univ, Weill Cornell Medical Center, UPMC Hillman Cancer Centers, Springfield Clinic, CaliberMRI, Inc., Prisma Health, Helen F. 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San Antonio, The Ohio State University, Stony Brook University, Greenwich Hospital, INOVA Schar Cancer Institute, Marsden Medical Physics Associates, Allegheny Health Network, Geisinger Health System, University of Maryland Medical System, Texas Oncology, Mount Sinai Medical Center, TrueNorth Medical Physics, Mallinckrodt Institute of Radiology, Washington University School of Medicine in St. Louis, Houston Methodist Hospital, Houston, TX, Martin Memorial Medical Center, Yale University School of Medicine, Comprehensive Cancer Centers of Nevada, ASR Institute for Cancer Care, Research & Rehabilitation, University of Louisville Brown Cancer Center, Jaeger Corporation, UC San Francisco, Inova Hospital at Fairfax, Upstate Medical Physics, Cedars-Sinai Medical Center, Brown University Health, Texas Oncology-Denton, Assarian Cancer Center, HCA Healthcare, San Diego State University, Cooper University HealthCare, LVeldkamp MedPhys Services, LLC, Morristown Medical Center, Atlantic Health System, OMPC Therapy, LLC & OMPC Diagnostic, LLC, Defense Health Agency, Radiation Oncology, Medical College of Wisconsin, UT Southwestern Medical Center, Kaiser Permanente Bellflower Medical Center, Roswell Park Comprehensive Cancer Center, University of Victoria, MD Anderson Cancer Center at Cooper, Siemens Healthineers, Monmouth Medical Center, Memorial Sloan Kettering Cancer Center, Ironwood Cancer & Research Centers, University of Cincinnati, School of Medical Sciences, Fujita Health University, University of Kentucky/UK HealthCare, University of California, San Francisco, Instituto Nacional do Cancer, Brazil, IBA Dosimetry GmbH, Westchester Medical Center, Ohio State Univ, Houston Methodist, Medical College of Wisconsin, Columbia University Medical Center, Department of Radiation Oncology, College of Medicine, University of Arkansas for Medical Sciences, UT MD Anderson Cancer Center, DFCI/BWCC south shore, Providence Cancer Center, Memorial Sloan-Kettering Cancer Center, American Association of Physicists in Medicine, Lynn Cancer Institute - Radiation Oncology, Renown Health, Purdue Univ, Beth Israel Deaconess Medical Center, Department of Radiation Oncology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Holy Family Hospital, OhioHealth, IBA Dosimetry, Memorial Hospital Gulfport, University of Florida, George Washington Univ, University of Cincinnati Medical Center, Hubbard, Zickgraf, & Broadbent, Accuray Inc, UVRMC, MIM Software, Massachusetts General Hospital and Harvard Medical School, Mem. Sloan Kettering Cancer Ctr, UF Health Proton Therapy Institute, California Medical Physics, Inc., Henry Ford Health, UPMC Hillman Cancer Center, Vanderbilt University School of Medicine, Saddleback Memorial Medical Center, Stony Brook University Medical Center, University of Pennslyvania, TOP Physics Consulting, Nuvance/Norwalk Hospital, Oregon Health & Science Univ, Brigham & Women's Hospital, University of Pennsylvania, McLaren – Greater Lansing, American Board of Radiology, Penn Medicine | Virtua Radiation Oncology, University of Tennessee, OneOncology, University of Colorado, Indiana University Medical Center, Stronach Regional Cancer Centre, Yale New Haven Health, Vanderbilt University Medical Center, Emory Healthcare / Winship Cancer Institute, Cape Fear Valley Radiation Oncology, Northwell Health, Sutter Health, Virginia Mason Medical Center, MUSC Health- Florence Medical Center, Departement of Radiation Oncology, Curie Institute, Paris, University of Michigan, MD Anderson Cancer Center, University of Alabama at Birmingham, Radiology Inc., Cedars Sinai Hospital, Roswell Park Cancer Institute, Duke University Health System, VA Hospital, DVA Medical Ctr., JFK Medical Center, Mount Sinai West, National Cancer Institute, Chung Nam National University Sejong Hospital, Indiana Univesity, AdventHealth Daytona Beach, Orlando Health, Clinical Research Institute HUS, Northwest Medical Physics Center, University of Pennsylvania, Penn Medicine, Kettering Health Network, Children's Mercy Kansas City, IBA, UMass Memorial Hospital, US Oncology, Kaiser Permanente Southern California Medical Group, The Queen's Health System, NewYork-Presbyterian, Miami Valley Hospital, Karlsruhe Institute of Technology, Piedmont Hospital, Accuray Inc., VARIAN - Advanced Oncology Solutions, GE Healthcare, Virtua Health, Northwestern Medicine Chicago Proton Center, CARO/Montgomery Cancer Center, Walter Reed National Military Medical Center, InterMountain Health Care, Englewood Hospital and Medical Center, Henry Ford Health System, Fluke Health Solutions, Texas Oncology, PA, Inova Alexandria Hospital, New Milford Hospital, Fox Chase Cancer Center, Radiation Therapy and Cancer Inst, Penn State College of Medicine, University of California San Francisco, Unity of Oncologic Therapy S.A., Canon Medical Systems USA, Kaiser Permanente, Baptist Health Paducah, Salina Regional Health, Centre d'Oncologie de la Cote Basque, Minneapolis Radiation Oncology, Coastal Carolina Radiation Oncology, Saint Francis Hospital, Advocate Christ Medical Ctr, Universidad de Costa Rica, CAMP, Blessing Hospital, Texas Oncology Cancer Ctr, CommonSpirit Health, Navy Medical Forces Atlantic, Regions Hospital, Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Methodist Hospital, Champlain Valley Physicians Hospital, Mayo Clinic Jacksonville, OHSU, Promedica Health System, Arthur JE Child Comprehensive Cancer Centre, Rhode Island Hospital / Warren Alpert Medical, UPMC Pinnacle Health, Vassar Brothers Hospital, McLeod Regional Medical Center, RJ Tokarz MIRS, St. Francis Hospital, Astarita Associates, Inc., UC Davis Medical Center, Mount Nittany Medical Center, Covenant Radiation Center, National Institute of Standards and Technology, AdventHealth Orlando, St Helena Hospital, Icon Cancer Centre, University of Washington, Indiana University, TrueNorth Medical Physics LLC, Medstar Georgetown University Hospital, Harold Alfond Center for Cancer Care, MN Oncology, Jupiter Medical Center, GE HealthCare, Rochester General Hospital, Piedmont Health, Atrium Health, Minneapolis VA Health Care System, CentraCare Health System, OMPC Diagnostic LLC, Evergreen Health Medical Center, CAMC Cancer Center - Beckley, University of Kansas Medical Center, Avera McKennan, Cleveland Clinic, Louisiana Tech University

Abstract Preview: N/A...

Needle-in-Needle Technique: A Lifeline for HDR Syed Interstitial Implants with Unusable Catheters

Authors: Jochen Cammin, Yushi Chang, Mariana Guerrero, Kai Jiang, Narottam Lamichhane, Elizabeth Nichols

Affiliation: Department of Radiation Oncology, UT Southwestern Medical Center, University of Maryland School of Medicine, Department of Radiation Oncology, University of Maryland School of Medicine

Abstract Preview: Purpose: Our institution handles a large GYN SYED patient load (5 HDR fractions over 3 days). In recent years, we faced many logistical challenges, such as broken/contaminated catheters, which disrupt...

Nnae: Automating Anomaly Detection and Quality Assurance in Medical Image Segmentation

Authors: Mingli Chen, Xuejun Gu, Hao Jiang, Mahdieh Kazemimoghadam, Weiguo Lu, 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:
Deep learning-based automatic medical image segmentation is increasingly employed in clinical practice, significantly reducing manual workload. However, verifying segmentation results rema...

Nomogram Based on Interpretable Multiregional Radiomics of Cone-Beam Breast CT and Clinicopathologic Features for Predicting FISH Status in HER2 2+ Breast Cancer to Differentiate HER2-Low from -Positive: A Multi-Center Study

Authors: Keyi Bian, Marco Caballo, Wenxiu Guo, Haijie Li, Jiao Li, Aidi Liu, Yue Ma, Ioannis Sechopoulos, Yafei Wang, Yaopan Wu, Zhaoxiang Ye, Yuwei Zhang, Yueqiang Zhu, Daan van den Oever

Affiliation: Radboud University Medical Center, Tianjin Medical University Cancer Institute & Hospital, Sun Yat-Sen University Cancer Center

Abstract Preview: Purpose: To develop and validate a nomogram integrating intra- and peritumoral radiomics of contrast-enhanced cone-beam breast CT (CE-CBBCT) and clinicopathologic features for predicting fluorescence ...

Non-Invasive Ferumoxytol MRI Evaluation of Dual Tumors Response for Hypoxia Region after Radiotherapy

Authors: Deng-Yuan Chang, Matthew L. Scarpelli

Affiliation: Purdue University

Abstract Preview: Purpose: Tumor-associated macrophages (TAMs) can be assessed by Ferumoxytol-MRI in breast cancer because they are negatively correlated with the prognosis of patient outcome. However, some studies hav...

Optimization-Based Image Reconstruction Regularized with Inter-Spectral Structural Similarity for Limited-Angle Dual-Energy Cone-Beam CT

Authors: Chih-Wei Chang, Junbo Peng, Richard L.J. Qiu, Justin Roper, Xiangyang Tang, Tonghe Wang, Huiqiao Xie, Xiaofeng Yang, David Yu

Affiliation: Department of Medical Physics, Memorial Sloan Kettering Cancer Center, Emory Univ, Emory University, Memorial Sloan Kettering Cancer Center, Department of Radiation Oncology and Winship Cancer Institute, Emory University

Abstract Preview: Purpose: Limited-angle dual-energy (DE) cone-beam CT (CBCT) is considered a promising solution to achieve fast and low-dose DE imaging on current CBCT scanners without hardware modification. However, ...

Optimizing Dose Coverage and Mitigating Electron Return Effects and Electron Stream Effects in MR-Linac Treatment of Extremity Malignancies: The Impact of Bolus and Gel Use

Authors: Kin Yin Cheung, Chen-Yu Huang, Chi Wah Kong, Ka Ki Lau, Pei-Xiong Li, Darren M. C. Poon, Bin Yang, Siu Ki Yu, Jing Yuan, Chi To Yung, Shang Peng Felix Yung

Affiliation: Comprehensive Oncology Centre, Hong Kong Sanatorium and Hospital, Medical Physics Department, Hong Kong Sanatorium and Hospital, Research Department, Hong Kong Sanatorium and Hospital

Abstract Preview: Purpose: This study investigates optimal treatment strategies utilizing MR-linac for extremity lesions, with a specific focus on a 0.6 cm deep lesion in the right palm. The magnetic field-induced dose...

Pancrea-Seg-Net: A Semi-Supervised Deep Learning Framework for Pancreatic Tumor and Vessel Segmentation

Authors: Manju Liu, Ning Wen, Fuhua Yan, Yanzhao Yang, Zhenyu Yang, Haoran Zhang, Lei Zhang, Yajiao Zhang

Affiliation: Department of Radiology, Ruijin Hospital Shanghai Jiaotong University School of Medicine, Duke Kunshan University, Medical Physics Graduate Program, Duke Kunshan University

Abstract Preview: Purpose: Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive malignancy where precise segmentation of tumors and adjacent vessels is crucial for effective treatment planning. This study dev...

Performance Evaluation of End-of-Life Epid Panel Utilizing Automated Quality Assurance Test Suite

Authors: Michael Paul Barnes, Lana C. Critchfield, John J. DeMarco, Ellie Durussel, Nilendu Gupta, James Irrer, Peyton Jensen, Grace Gwe-Ya Kim, Cory S. Knill, Seng Boh Gary Lim, Justin K. Mikell, Jean M. Moran, Seyyedeh Azar Oliaei Motlagh, Mario Perez, Michael Pillainayagam, Claire Zhang

Affiliation: University of Michigan, Department of Radiation Oncology, University of Michigan, Department of Medical Physics, Memorial Sloan Kettering Cancer Center, Department of Radiation Oncology, The Ohio State University Wexner Medical Center, Washington University School of Medicine in St. Louis, University of California San Diego, Royal North Shore Hospital, Calvary Mater Hospital Newcastle, Cedars-Sinai Medical Center

Abstract Preview: Purpose: EPIDs are widely used in linac QA due to their efficiency and accuracy. As EPIDs age, performance degradation may occur, potentially compromising reliability of EPID-based automated QA result...

Personalized Anisotropic Margin Strategy for Cervical Cancer Online Adaptive Radiation Therapy

Authors: Jian Chen, Qiufen Guo, Aihua Li, Jing Liu, Junjie MA, Qian WU, Haonan Xiao, Peng Xie, Xiaohui Yan, Yong Yin, Zhe Zhang

Affiliation: Department of Radiation Oncology, Peking University Shenzhen Hospital, Department of Radiation Oncology and Physics, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Department of Radiation Oncology Physics and Technology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Department of Obstetrics and Gynaecology, Liao Cheng People’s Hospital

Abstract Preview: Purpose: Online Adaptive radiation therapy (ART) has been an effective technique to manage patient’s inter-fractional anatomical changes and therefore reduces planning target volume (PTV). However, on...

Phantom-Based Dosimetric Comparison of Multiple CT Metal Artifact Reduction Algorithms for Head-and-Neck Radiotherapy

Authors: Loren Bell, Charles S Cathcart, Brett William Eckroate, Harold Y Hu, Joshua Kilian-Meneghin, Ke Nie, Fredrick Warburton, Zhenyu Xiong, Keying (Karen) Xu, Ning J. Yue, Yin Zhang, Lili Zhou

Affiliation: RWJBarnabas Health, Basis Scottsdale, Rutgers Cancer Institute of New Jersey

Abstract Preview: Purpose: This study compares the dosimetric impact of multiple metal artifact reduction (MAR) algorithms from different CT simulator vendors using an anthropomorphic head phantom for head-and-neck (H/...

Photon-Counting CT Versus Dual Energy CT for Liver Fat Volume Fraction Assessment

Authors: Chao Guo, Xinhua Li, Michael F. McNitt-Gray, Di Zhang, Yifang (Jimmy) Zhou

Affiliation: UCLA, David Geffen School of Medicine at UCLA, Cedars-Sinai Medical Center

Abstract Preview: Purpose: The objective was to quantify the liver fat volume fraction (FVF) with virtual monochromatic imaging (VMI) using photon-counting CT (PCCT) and dual energy CT (DECT).
Methods: A custom desi...

Proton Vs Photon Therapy for Stereotactic Arrhythmia Radioablation of Ventricular Tachycardia

Authors: Chih-Wei Chang, Kristin A Higgins, Xiaojun Jiang, Pretesh Patel, Justin R. Roper, Keyur Shah, Sibo Tian, Zhen Tian, Yinan Wang, Xiaofeng Yang, Jun Zhou

Affiliation: Department of Radiation Oncology, City of Hope Cancer Center Atlanta, Emory University, University of Chicago, Department of Radiation Oncology and Winship Cancer Institute, Emory University

Abstract Preview: Purpose: Ventricular tachycardia (VT) is a life-threatening arrhythmia commonly treated with catheter ablation; however, some cases remain refractory to conventional treatment. Stereotactic arrhythmia...

Quantifying Respiratory Motion Effects in Lung Cancer Radiotherapy Using 4DCT Voxel Analysis

Authors: Chih-Chiang Chang, Chingyun Cheng, Ben Durkee, Minglei Kang, Elissa Khoudary, Yangguang Ma, Xuanqin Mou, YuFei Wang, Tengda Zhang, Wang Zhengda

Affiliation: Department of Human Oncology, University of Wisconsin School of Medicine and Public Health, Department of Radiation Oncology, The First Affiliated Hospital of Zhengzhou University, School of Software Engineering, Xi’an Jiaotong University, School of information and communications engineering, Faculty of electronic and information engineering, Xi’an Jiaotong University, Department of Medical Physics, Columbia University, University of Pennsylvania, Department of Human Oncology, University of Wisconsin-Madison

Abstract Preview: Purpose: This study presents a voxel-based analysis method based on deformable image registration to accurately quantify respiratory-induced motion and deformation of both targets and organs at risk (...

Radiation Generators for External Beam Radiotherapy

Authors: Chang Ming Charlie Ma

Affiliation: Fox Chase Cancer Center

Abstract Preview: N/A...

Radiodynamic Therapy: Inhibiting Metastases of Small Cell Lung Cancer In Vivo

Authors: Lili Chen, Andy T. Clark, Dusica Cvetkovic, Chang Ming Charlie Ma, Dae-Myoung Yang

Affiliation: Fox Chase Cancer Center

Abstract Preview: Purpose: Radiodynamic therapy (RDT) shows promise as a strategy to inhibit the metastasis of premetastatic small cell lung cancer (SCLC). This study evaluates the therapeutic effect of RDT in inhibiti...

Rapid CBCT Imaging with Ultra-Sparse X-Ray Projections for Head & Neck Cancer Radiotherapy

Authors: Hania A. Al-Hallaq, Chih-Wei Chang, Anees H. Dhabaan, Yuan Gao, Shaoyan Pan, Junbo Peng, Richard L.J. Qiu, Keyur Shah, Sibo Tian, Zhen Tian, Xiaofeng Yang, David Yu, Jun Zhou

Affiliation: Emory University, Whinship Cancer Institute, Emory University, University of Chicago, Department of Radiation Oncology and Winship Cancer Institute, Emory University

Abstract Preview: Purpose: Traditional cone-beam computed tomography (CBCT) often requires multiple angular projections, increasing radiation exposure and extending scanning times, which may lead to heightened patient ...

Real Time Monte Carlo Dose Calculation for Clinical Cyberknife Radiation Therapy Based on Deep Learning Diffusion Model

Authors: Ruiyan Du, He Huang, Mingzhu Li, Ying Li, Hongyu Lin, Wei Liu, Shihuan Qin, Yiming Ren, Hui Xu, Lian Zhang, Xiao Zhang, Zunhao Zhang

Affiliation: Department of Radiation Oncology, Mayo Clinic, Medical AI Lab, The First Hospital of Hebei Medical University, Hebei Provincial Engineering Research Center for AI-Based Cancer Treatment Decision-Making, The First Hospital of Hebei Medical University, Department of Oncology, The First Hospital of Hebei Medical University

Abstract Preview: Purpose: Monte Carlo (MC) dose calculation is the gold standard in clinical CyberKnife radiation therapy (RT), considering its steep dose gradients and high-freedom non-coplanar beam angles, but extre...

Real-Time 3D Dose Verification for MR-Guided Online Adaptive Radiotherapy (ART) Via Geometry-Encoded Deep Learning Framework

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: Fast dose verification is essential for the safety and efficiency of MR-guided adaptive radiotherapy (ART) as patients anxiously waiting on the treatment couch. Conventional tools often requi...

Real-Time Automatic Treatment Planning System (RT-AutoTPS) for Volumetric Modulated Arc Radiotherapy (VMAT)

Authors: Steve B. Jiang, Austen Matthew Maniscalco, Dan Nguyen, Chenyang Shen, Jiacheng Xie, Shunyu Yan, 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: Although treatment planning systems (TPSs) can handle dose calculation and plan optimization automatically, planning for radiotherapy still requires extensive efforts and expertise from a mul...

Real-Time Proton and Carbon Ion Monte Carlo Dose Calculation through GPU-Acceleration and DL-Based Denoising Algorithms

Authors: Yankui Chang, Shijun Li, Xi Pei, Ripeng Wang, Xuanhe Wang, X. George Xu, Qing Zhang, Jingfang Zhao

Affiliation: University of Science and Technology of China, Shanghai proton and heavy ion center, School of Nuclear Science and Technology, University of Science and Technology of China, Anhui Wisdom Technology Co., Ltd.

Abstract Preview: Purpose:
This paper describes disruptive methods using both GPU-based MC simulation and deep-learning (DL)-based MC denoising algorithms, as well as clinical tests involving more than 560 patient p...

Reliable Markerless Lung Tumor Tracking with Built-in Patient-Specific Quality Assurance

Authors: Weixing Cai, Laura I. Cervino, Qiyong Fan, Yabo Fu, Tianfang Li, Xiang Li, Jean M. Moran, Hai Pham, Pengpeng Zhang

Affiliation: Department of Medical Physics, Memorial Sloan Kettering Cancer Center, Memorial Sloan Kettering Cancer Center

Abstract Preview: Purpose: AAPM Task Group Report 273 emphasizes the importance of rigorous validation to ensure the generalizability and robustness of machine learning-based clinical tools before their implementation ...

Reproducibility of Target Position during Surface-Guided Breath-Hold Adaptive SBRT of Liver Cancer

Authors: Lili Chen, Xiaoming Chen, Chang Ming Charlie Ma, Joshua Meyer

Affiliation: Fox Chase Cancer Center

Abstract Preview: Purpose: Fast CBCT (HyperSight) acquisition technique together with a surface-guided breath-hold (SGBH) would allow a better image quality for accurate target/organ delineation. It facilitates breath-...

Reproducibility of a Unique Prone Head and Neck Setup Evaluated with In Vivo Epid Dosimetry System

Authors: Salim Balik, Eric Chang, Kristine Garcia, Andrew Islas, Lijun Ma, Zhilei Liu Shen, Elizabeth Zhang-Velten

Affiliation: Radiation Oncology, Keck School of Medicine of USC

Abstract Preview: Purpose: NRG protocols recommend simulating and treating head and neck (HN) cancer patients in a supine position for optimal setup reproducibility. However, certain patients cannot tolerate the supine...

Robustness of Deep Learning-Based Motion Compensated 4D-CBCT Reconstruction to out-of-Distribution Data

Authors: Geoffrey D. Hugo, Eric Laugeman, Thomas R. Mazur, Pamela Samson, Kim A. Selting, Zhehao Zhang

Affiliation: University of Illinois, Washington University in St. Louis School of Medicine, WashU Medicine

Abstract Preview: Purpose: To investigate the robustness of a deep learning (DL)-based 4D-CBCT motion-compensated (MoCo) reconstruction method to out-of-distribution data.
Methods: Our developed 4D-CBCT reconstructi...

Simplified Method of Assessing Lung Volume Limits during the Planning Process in the Re-Treatment Environment

Authors: Sameera Kumar, Chang Ming Charlie Ma, Robert A. Price

Affiliation: Fox Chase Cancer Center

Abstract Preview: Purpose:
Difficulty assessing lung limits during treatment planning in the retreatment environment can be compounded as limits are volume-based (ie. VxGy<37%) and require a critical volume with a m...

Simultaneous Synthesis of Lung Perfusion and Ventilation Images from CT Using a Dual-Decoder Residual Attention Network for Lung Disease Diagnosis

Authors: Li-Sheng Geng, David Huang, Haoze Li, Xi Liu, Meng Wang, Tianyu Xiong, Ruijie Yang, Weifang Zhang, Meixin Zhao

Affiliation: School of Physics, Beihang University, Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Department of Radiation Oncology, Peking University Third Hospital, Department of Nuclear Medicine, Peking University Third Hospital, Medical Physics Graduate Program, Duke Kunshan University

Abstract Preview: Purpose: This study aimed to develop a deep learning-based framework for simultaneously generating lung perfusion and ventilation images from three-dimensional computed tomography (3D CT) images.
M...

Spot Map Modification for Planning Optimization on a Spot Scanning Proton System with Adaptive Aperture

Authors: Austen N. Curcuru, Winter Green, Yao Hao, Jiayi Liu, Yuting Peng, Tiezhi Zhang, Xiandong Zhao

Affiliation: Washington University School of Medicine, Department of Radiation Oncology, WashU Medicine, Virginia Commonwealth University, Washington University School of Medicine, Washington University in St. Louis

Abstract Preview: Purpose: We proposed a treatment planning optimization method that utilizes customized spot map modification to achieve less dosimetry uncertainty, monitor unit ratio (MUR) and neutron dose in a spot ...

Streamlined Stereotactic Radiosurgery (SRS) Commissioning Experience with a 6FFF Beam for an Elekta Versa: A Clinical Overview for Increased Precision.

Authors: Asma Amjad, Slade J. Klawikowski, Natalya V. Morrow, Haidy G. Nasief, Eric S. Paulson, An Tai, Hualiang Zhong

Affiliation: Department of Radiation Oncology, Medical College of Wisconsin

Abstract Preview: Purpose: Accurate and precise linac-based SRS commissioning can be very challenging. Thus, it is important to increase the confidence in the measurement at each step prior to end-to-end testing. The p...

Streamlining Linac Mechanical QA Workflow with Javascript and Customizable PDF Templates

Authors: Sean P. Devan, Cory S. Knill, Choonik Lee, Claire Zhang

Affiliation: University of Michigan, Department of Radiation Oncology, University of Michigan

Abstract Preview: Purpose: Tools such as step-by-step instructions, checklists, and automated calculations can improve process efficiency, mitigate errors, and facilitate standardization across different users and clin...

Streamlining Quad-Shot Radiotherapy: Automated Workflow Enables Same-Day Treatment for Palliative Lung Cancer

Authors: Laura I. Cervino, Sharif Elguindi, Yu-Chi Hu, Licheng Kuo, Xiaoning Liu, Jennifer Ma, Pengpeng Zhang

Affiliation: Department of Medical Physics, Memorial Sloan Kettering Cancer Center, Radiation Oncology, Memorial Sloan Kettering Cancer Center

Abstract Preview: Purpose:
Quad-shot radiotherapy (QSRT) is an emerging paradigm in palliative cancer treatment. This study aimed to streamline the QSRT workflow using automation to improve efficiency while maintain...

The Dosimetric Impact of the Incremental Discontinuation of Bolus during Postmastectomy Chest Wall Radiation Treatment for Breast Cancer.

Authors: Anthony R Bardwell, Dong Won Kim, Faith S Kim, Isaac Y Kim, Juying Zhang

Affiliation: Kaiser Permanente

Abstract Preview: Purpose: When a patient develops a significant skin reaction at some point during postmastectomy radiotherapy, a clinical decision is often made to discontinue the planned daily use of bolus. The aim ...

The Feasibility of Ethos-Based Pulsed Reduced Dose-Rate (PRDR) Radiotherapy

Authors: Chia-Lung Chien, Renteng Hou, Wen C. Hsi, Faraz Kalantari, Ganesh Narayanasamy, Zhong Su

Affiliation: University of Arkansas for Medical Sciences, Department of Radiation Oncology, University of Arkansas for Medical Sciences (UAMS)

Abstract Preview: Purpose:
PRDR is an effective re-irradiation treatment for patients who have already reached the tolerance dose to their organs at risk (OARs). While PRDR is implemented on TrueBeam by limiting the...

Towards Penile Small Vessel Imaging with Ferumoxytol-Enhanced MRI

Authors: Darren Fang, Amar Kishan, Justin McWilliams, Dan Ruan, Xiaodong Zhong

Affiliation: Department of Radiation Oncology, University of California, Los Angeles, Department of Radiology, University of California, Los Angeles, Department of Radiological Sciences, University of California, Los Angeles

Abstract Preview: Purpose: Prostate radiotherapy can malform penile vasculature, contributing to erectile dysfunction and compromising quality of life. To detect, quantify, and preferably avoid such occurrences, this p...

Treatment Planning System for Uhdr Mobetron: Refinement and Validation of Phase Space Data Input

Authors: Rafael Carballeira, Tianyuan Dai, David J. Gladstone, Philip Von Voigts-Rhetz, Rongxiao Zhang

Affiliation: Shandong Cancer Hospital, Dartmouth College, IntraOp, Thayer School of Engineering, Dartmouth College, University of Missouri

Abstract Preview: Purpose: To analyze phase space (PHSP) data generated for Mobetron in FLASH radiotherapy and assess key dosimetric characteristics, including the energy spectrum, scattering angle distribution, and pe...

Tumor Response to Catalytic Effect of Carbamide Peroxide to Megavoltage Radiodynamic Therapy with 5-Aminolevulinic Acid

Authors: Lili Chen, Dusica Cvetkovic, Chang Ming Charlie Ma, Dae-Myoung Yang

Affiliation: Fox Chase Cancer Center

Abstract Preview: Purpose: Cytotoxicity caused by the reactive oxygen species (ROS) is a mechanism for treating cancer cells in radiation therapy. 5-aminolevulinic acid (5-ALA)-mediated radiodynamic therapy (RDT), whic...

Ultra-Fast Commissioning and Quality Assurance with Plastic Scintillation Detector

Authors: Saad Bin Saeed Ahmed, Marcos Feijoo, Wazir Muhammad, Charles Shang, Naseem Ud Din

Affiliation: South Florida Proton Therapy Institute, Miami Cancer Institute, Blue Physics LLC, Florida Atlantic University

Abstract Preview: Purpose: Accurate, efficient, and reliable commissioning of linear accelerator (LINAC) is critical for ensuring high-quality radiation therapy treatments. The study uses advanced detector technology a...

Ultra-Sparse-View Cone-Beam CT Reconstruction Based Strictly-Structure-Preserved Deep Neural Network in Image-Guided Radiation Therapy

Authors: Guangjun Li, Ying Song, Huanan Tang, Tianxiong Wu, Qiuyi Ye, Wei Zhang

Affiliation: West China Second Hospital of Sichuan University, United Imaging Healthcare, West China Hospital of Sichuan University

Abstract Preview: Purpose:
To propose a general low-dose reconstruction model for ultra-sparse-view cone-beam CT (CBCT) and evaluate its clinical application in improving image quality and reducing radiation dose fo...

Uncertainties on Synthetic-CT Generation from CBCT: Another Layer of Complexity in Abdominal Adaptive Radiotherapy

Authors: Laura I. Cervino, Wendy B. Harris, Paulo Quintero, Hao Zhang

Affiliation: Department of Medical Physics, Memorial Sloan Kettering Cancer Center

Abstract Preview: Purpose: To evaluate the impact of the prediction uncertainty from CBCT-based synthetic CT (sCT) generation in abdominal adaptive radiotherapy.

Methods: CT and CBCT images from 65 abdominal pat...

Uncertainty Analysis for Effective Dose Conversion Factors in CT

Authors: Renxin Chu, Jelena Mihailovic, Kai Yang, Lifeng Yu, Da Zhang

Affiliation: Massachusetts General Hospital, Mayo Clinic, Boston Children's Hospital, UVA Health University Hospital, University of Missouri Health Care

Abstract Preview: Purpose:
A frequently used method to estimate effective dose (ED) in CT is by multiplying the dose length product (DLP) by a conversion factor, known as k-factor. The k-factor in this method is sus...

Unidose: A Universal Framework for IMRT Dose Prediction

Authors: Mingli Chen, Xuejun Gu, Hao Jiang, Mahdieh Kazemimoghadam, Weiguo Lu, Qingying Wang, Zi Yang, 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: Dose prediction (DP) is essential in guiding radiotherapy planning. However, current DP models for intensity-modulated radiation therapy (IMRT) primarily rely on fixed-beam orientations and a...

Using Multiple Sequences MRI for Synthesizing CT Based on a Deep Learning Approach

Authors: Jie Hu, Nan Li, Chuanbin Xie, Shouping Xu, Xinlei Xu, Gaolong Zhang, Zhilei Zhang

Affiliation: School of Physics, Beihang University, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Department of Radiation Oncology, the First Medical Center of the People's Liberation Army General Hospital, National Cancer Center/ National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, Peopleʼs Republic of China, Department of Radiation Oncology, School of Physics, Beihang University, Beijing, 102206, Peopleʼs Republic of China

Abstract Preview: Purpose: This study aims to synthesize CT images for MRI-only radiation therapy using a deep learning approach that integrates information from the T1- and T2-weighted MRI sequence.
Methods: 97 hea...