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Results for "Chen Lu": 210 found

3D Wideband Late Gadolinium-Enhanced MRI for Radiotherapy of Ventricular Tachycardia: A Preliminary Study in Healthy Participants and Patient

Authors: Arash Bedayat, Jason Bradfield, Minsong Cao, Robert K Chin, Huiming Dong, J Paul Finn, Fei Han, Justin Hayase, Shu-Fu Shih, Xiaodong Zhong

Affiliation: Cardiac Electrophysiology, University of California, Los Angeles, Department of Radiation Oncology, University of California, Los Angeles, Department of Radiology, University of California, Los Angeles, Siemens Healthineers

Abstract Preview: Purpose: Cardiac SBRT is a promising treatment for ventricular tachycardia (VT). Success depends on accurate target delineation, for which 2D narrowband late gadolinium-enhanced (LGE) MRI offers valua...

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...

4DCT Contrast Protocol for Cardiac Radioablation

Authors: Jeremy S. Bredfeldt, Cindy I. Hancox, Arianna Liles, Alex Marques, Usha Tedrow

Affiliation: Department of Cardiology, Brigham and Women's Hospital, Harvard Medical School, Department of Radiation Oncology, Brigham and Women's Hospital, Harvard Medical School

Abstract Preview: Purpose: Ventricular tachycardia (VT) can be treated using cardiac radioablation. 4DCT simulation is commonly used, however, contrast injection timing is challenging. This study aimed to develop a pro...

4π Non-Coplanar Stereotactic Body Radiation Therapy: Dosimetric Evaluation of VMAT Configurations in for Recurrent Head and Neck Tumors

Authors: Sixue Dong, Weigang Hu, Jiazhou Wang, Zhen Zhang

Affiliation: Fudan University Shanghai Cancer Center

Abstract Preview: Purpose: This study aimed to evaluate the dosimetric benefits and treatment efficiency of different beam configurations in 4π non-coplanar VMAT for SBRT in recurrent head and neck tumors

Method...

60RPM Rotational Winston Lutz Test to Characterize Operational MV-Kv Offset on Reflexion X1 System

Authors: Huixiao Chen, Ethan Hartowicz, Lichung Ku, Tim Perez, Ray Yang

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

Abstract Preview: Purpose: To characterize MV-kV isocenter offset on a novel ring gantry radiotherapy system where the Linac, PET, kV-CT, and MV imaging subsystems rotate together at native operating speed of 60RPM.

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 Conditional Point Cloud Diffusion Model for Deformable Liver Motion Tracking Via a Single Arbitrarily-Angled X-Ray Projection (PCD-Liver)

Authors: Yunxiang Li, Hua-Chieh Shao, Chenyang Shen, Jing Wang, Jiacheng Xie, Shunyu Yan, You Zhang

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

Abstract Preview: Purpose: Accurate liver deformable motion tracking is essential in image-guided radiotherapy to enable precise tumor targeting during treatment. We developed a conditional point cloud diffusion model ...

A Deep Learning Method for Direct Vmi Inference Using a Dual-Layer Radiotherapy Kv-CBCT Imager

Authors: Ross I. Berbeco, Vera Birrer, Raphael Bruegger, Pablo Corral Arroyo, Roshanak Etemadpour, Dianne M. Ferguson, Rony Fueglistaller, Thomas C. Harris, Yue-Houng Hu, Matthew W. Jacobson, Mathias Lehmann, Nicholas Lowther, Daniel Morf, Marios Myronakis

Affiliation: Brigham and Women's Hospital, Harvard Medial School, Dana-Farber Cancer Institute, Department of Radiation Oncology, Dana Farber/Brigham and Women's Cancer Center, Department of Radiation Oncology, Brigham and Women’s Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Brigham and Womens Hospital, Dana Farber Cancer Institute, Harvard Medical School, Brigham and Women's Hospital, Varian Imaging Laboratory, Dana-Farber Cancer Institute

Abstract Preview: Purpose: A challenge for dual energy CBCT is that noise and residual errors in material decomposition steps can become amplified when forming low energy, high contrast virtual mono-energetic images (V...

A Deep Learning-Based Method for Rapid Generation of Spot Weights in Single Field Optimization for Proton Therapy in Prostate Cancer

Authors: Yu Chang, Mei Chen

Affiliation: Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Department of Radiation Oncology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine

Abstract Preview: Purpose: Spot weights optimization, as a critical step in the proton therapy, is often time-consuming and labor-intensive. Deep learning, with its powerful learning and computational efficiency, can e...

A Diffusion-Based AI Framework for Continuous Deformable Image Registration and Time-Resolved Dynamic CT Generation

Authors: Mingli Chen, Xuejun Gu, Hao Jiang, Mahdieh Kazemimoghadam, Weiguo Lu, Gregory Szalkowski, Qingying Wang, Kangning Zhang

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

Abstract Preview: Purpose: Respiratory motion management is crucial for accurate radiation delivery to moving targets while protecting healthy tissue, relying on time-resolved volumetric imaging and continuous deformab...

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 GPU Accelerated Monte Carlo Dose Engine for Small Animal Proton Radiotherapy

Authors: Haonian Gong, Yue Gu, Meiqi Liu, Zihao Liu, Hsiao-Ming Lu, Yuxiang Wang, Yidong Yang, Cheng Zheng

Affiliation: Hefei Ion Medical Center, The First Affiliated Hospital of USTC, Division 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:
Proton radiotherapy in preclinical small animals requires specific dose engine due to its low energy and small irradiation volume. This study is to develop a GPU-based Monte Carlo dose eng...

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 Multimodal CAD System for Breast Cancer Detection: Integrating MRI, DBT, and Mammography for Dense Breast Challenges

Authors: Si-Wa Chan, Yuan-Yu Lee, Zhi-Ying Li, Jia-Wei Liao, Hui-Yu Cathy Tsai

Affiliation: Department of Radiology, Taichung Veterans General Hospital​, Institute of Nuclear Engineering and Science, National Tsing Hua University

Abstract Preview: Purpose: Dense breast tissue reduces the sensitivity of mammography, posing diagnostic challenges, especially for Asian women with high breast density (up to 50%). Current single-modality techniques o...

A New Way to Assess Dynamic Response of Centrally Located Lung Cancer (CLLC) to SBRT and Conventional Radiation Therapy (CRT)

Authors: Nina Burbure, Tawfik Giaddui, Shidong Li, Curtis Miyamoto, Jeremy Price, Bin Wang

Affiliation: FCCC at Temple University Hospital, Dept. of Radiation Oncology, Fox Chase Cancer Center at Temple University Hospital

Abstract Preview: Purpose: Higher rates of local failures and toxicities challenged radiation therapy of centrally located lung cancer (CLLC). We assessed the treatment response by measuring the early changes of PET+ n...

A No-Reference Medical Image Quality Assessment Method Based on Automated Distortion Recognition Technology: Application to Preprocessing in MRI-Guided Radiotherapy

Authors: Jiayun Chen, Shengqi Chen, Yuan Tang, Zilin Wang, Guohua Wu, Jianan Wu

Affiliation: Cancer Hospital Chinese Academy of Medical Sciences, Shenzhen Center, School of Electronic Engineering, Beijing University of Posts and Telecommunications, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College

Abstract Preview: Purpose:
To develop a novel no-reference image quality assessment (NRIQA) method for evaluating the effectiveness of image preprocessing in MRI-guided radiotherapy (MRIgRT), thereby enhancing clini...

A Novel Linac Onboard Dual-Layer Kv Imager Provides Increased Clinical CBCT Contrast and Metal Artifact Reduction Using Virtual Monoenergetic Images

Authors: Ross I. Berbeco, Vera Birrer, Raphael Bruegger, Pablo Corral Arroyo, Roshanak Etemadpour, Dianne M. Ferguson, Rony Fueglistaller, Thomas C. Harris, Yue-Houng Hu, Matthew W. Jacobson, Mathias Lehmann, Marios Myronakis

Affiliation: Brigham and Women's Hospital, Harvard Medial School, Dana-Farber Cancer Institute, Department of Radiation Oncology, Dana Farber/Brigham and Women's Cancer Center, Department of Radiation Oncology, Brigham and Women’s Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Brigham and Women's Hospital, Varian Imaging Laboratory, Dana-Farber Cancer Institute

Abstract Preview: Purpose: Dual-energy imaging offers benefits, including metal artifact reductions (MAR) and improved contrast, that enhance visualization. Currently, dual-energy imaging is largely limited to CT scann...

A Novel Semi-Analytic Approach for Dose Calculation in Proton Minibeam Radiotherapy

Authors: Hao Gao, Wangyao Li, Yuting Lin, Chao Wang, Wei Wu

Affiliation: Institute of Modern Physics, Chinese Academy of Sciences, Department of Radiation Oncology, University of Kansas Medical Center

Abstract Preview: Purpose: Proton minibeam radiation therapy (pMBRT) delivers a unique peak-and-valley dose pattern using collimators with narrow slits, offering improved normal tissue sparing compared to conventional ...

A Predictive Tool for Optimizing Treatment System Allocation in Hypofractionated Whole-Breast Radiotherapy

Authors: Zhenzhen Dai, Anthony J. Doemer, Ryan Hall, Kenneth Levin, Bing Luo, Benjamin Movsas, Karen C. Snyder, Kundan S Thind, Eleanor Walker

Affiliation: Henry Ford Health, HFHS

Abstract Preview: Purpose: To investigate the feasibility of a predictive tool for efficient allocation of hypofractionated whole-breast irradiation patients between Varian Truebeam and Ethos systems.
Methods: A ful...

A Preliminary Study of Light-Weighted and Flexible Bismuth Nanoparticle-Based Polymer Matrix for Efficient Radiation Shielding

Authors: Ming Su, Yuenan Nancy Wang

Affiliation: Northeastern University, Hartford Healthcare

Abstract Preview: Purpose: High Z elements such as lead are often used to protect critical structures in clinical radiotherapy. Nanoparticles have different properties than bulk materials. We proposed a polymer matrix ...

A Radiomic Quantification Framework for Hyperparameter Optimization in Texture Characterization

Authors: Yuli Lu, Chendong Ni, Cheng Qian, Kun Qian, Weiwei Sang, Chunhao Wang, Fan Xia, Zhenyu Yang, Fang-Fang Yin, Rihui Zhang, Haiming Zhu

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

Abstract Preview: Purpose: To develop a radiomic quantification framework to evaluate the effects of radiomic image preprocessing hyperparameters (i.e., image resampling and discretization) on texture characterization ...

A Radiomics and Dosomics-Based Approach for Predicting Hematologic Toxicity in Patients with Cervical or Endometrial Cancer

Authors: Yongrui Bai, Xuming Chen, Yong Liu, Xiumei Ma

Affiliation: Department of Radiation Oncology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China, Department of Radiation Oncology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

Abstract Preview: Purpose: Hematologic toxicity (HT) is a common complication in patients with cervical or endometrial cancer. This study aims to develop a precise predictive model for acute HT in patients with cervica...

A Recent Evaluation on the Performance of Llms on Radiation Oncology Physics Using Questions of Randomly Shuffled Options

Authors: Dequan Chen, Jason Michael Holmes, Tianming Liu, Wei Liu, Zhengliang Liu, Jiajian Shen, Peilong Wang

Affiliation: Department of Radiology, Mayo Clinic, Department of Radiation Oncology, Mayo Clinic, School of Computing, University of Georgia

Abstract Preview: Purpose:
We present a study to evaluate the performance of large language models (LLMs) in answering radiation oncology physics questions, focusing on the recently released models.
Methods:
A...

A Retrospective Analysis of Automatic Exposure Control (AEC) Tracking Failure Rates in Radiographic Systems

Authors: Benjamin W. Maloney, Ashley E. Rubinstein, Colin Schaeffer, Justin Yu

Affiliation: Henry Ford Health

Abstract Preview: Purpose: Radiography AEC systems ensure correctly exposed images for varied kVp and patient thicknesses. The specific kVp and PMMA thicknesses selected for testing AEC tracking may affect passing rate...

A Retrospective Analysis of Usnrc Event Notification Reports

Authors: Yanique N. Dunn, Marissa Joyce Vaccarelli

Affiliation: Northwell, Hofstra University Medical Physics Program

Abstract Preview: Purpose: The U.S. Nuclear Regulatory Commission (USNRC) Event Notification Reports provide detailed information on nuclear-related events, including medical and non-medical incidents. This study evalu...

A Self-Supervised Deep Learning Approach for Automatic Identification and Metal Artifact Reduction in Cone-Beam CT for Brachytherapy

Authors: Rani Anne', Wenchao Cao, Yingxuan Chen, Wookjin Choi, Firas Mourtada, Yevgeniy Vinogradskiy

Affiliation: Thomas Jefferson University

Abstract Preview: Purpose: In-room mobile cone-beam CT (CBCT) is emerging to enhance high-dose-rate (HDR) brachytherapy workflow using on-demand imaging. However, metal artifacts from X-ray markers inside gynecological...

A Single-View-Based Electroacoustic Tomography Imaging Using Deep Learning for Electroporation Monitoring

Authors: Yankun Lang, Lei Ren, Leshan Sun, Liangzhong Xiang, Yifei Xu, Jie Zhang

Affiliation: University of Maryland School of Medicine, University of California, Irvine

Abstract Preview: Purpose: To achieve the full-view image from a single-view sinogram using a two-stage deep learning model for electroacoustic-tomography (EAT), which is an emerging imaging technique with significant ...

A Vision-Language Model for T1-Contrast Enhanced MRI Generation for Glioma Patients

Authors: Zachary Buchwald, Zach Eidex, Richard L.J. Qiu, Justin R. Roper, Mojtaba Safari, Hui-Kuo Shu, 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: Gadolinium-based contrast agents (GBCA) are commonly used for patients with gliomas to delineate and characterize the brain tumors using T1-weighted (T1W) MRI. However, there is a rising conc...

Advanced Daily Imaging Technology Improves Tracking of Soft Tissue Decomposition for Head and Neck Cancer Patients Receiving Radiotherapy

Authors: Robert K Chin, Klea Hoxha, Erika Jank, Jesus Juarez, Eulanca Yuka Liu, Dylan P. O'Connell, X. Sharon Qi, Ricky R Savjani

Affiliation: Department of Radiation Oncology, University of California, Los Angeles, University of California, Los Angeles, UCLA Radiation Oncology

Abstract Preview: Purpose:
Daily cone beam CT (CBCT) images are acquired prior to each radiotherapy treatment for verifying patient positioning. HyperSight is an advanced imaging solution that replaces standard CBCT...

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...

Advancing Thoracic Synthetic CT Images with Enhanced Cyclegan for Adaptive Radiotherapy Applications

Authors: Silambarasan Anbumani, Nicolette O'Connell, Eenas A. Omari, Amanda Pan, Eric S. Paulson, Lindsay Puckett, Monica E. Shukla, Dan Thill, Jiaofeng Xu

Affiliation: Elekta Inc, Elekta Limited, Linac House, Department of Radiation Oncology, Medical College of Wisconsin

Abstract Preview: Purpose: Accurate electron density information from on-board imaging is essential for direct dose calculations in adaptive radiotherapy (ART). This study evaluates a deep learning model for thoracic s...

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 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, PeopleÊŒs 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 Analytical Approach to Monitor Unit Calculation in Extended Distance Total Body Irradiation (TBI)

Authors: Cheewai Cheng, Indra J. Das, Jeffrey Yui Hei Wong, Poonam Yadav

Affiliation: Northwestern Memorial Hospital, Northwestern University Feinberg School of Medicine

Abstract Preview: Purpose: Radiation treatment machine replacement brings chaos and urgency of timely completion of machine commissioning for every procedure used including TBI that are time consuming. Based on past ex...

An Automated Notification System for Identifying Patients Eligible for Biology-Guided Radiotherapy

Authors: Shahed Badiyan, Bin Cai, Tu Dan, Michael Dohopolski, Steve B. Jiang, Deepkumar Mistry, Arnold Pompos, Robert Timmerman, Jing Wang

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, University of Texas Southwestern Medical Center, Department of Radiation Oncology, UT Southwestern Medical Center

Abstract Preview: Purpose: Biology-guided radiotherapy (BGRT) offers significant potential for personalized and adaptive cancer treatment, with clinically available systems such as SCINTIX from Reflexion now being intr...

An Experimentally Derived Microscale Blood and Lymphatic Vasculature Model for Applications to Radiopharmaceutical Dosimetry

Authors: Peter Balogh, Wesley E. Bolch, Mir Md Nasim Hossain, Nien-Wen Hu, Walter Murfee, Wyatt Smither, Julia D. Withrow

Affiliation: New Jersey Institute of Technology, University of Florida

Abstract Preview: Purpose: To develop 3D computational, tissue-representative models incorporating physiologically relevant microvascular network patterns for calculating local alpha particle and electron dosimetry eff...

An OAR Margin Recipe Based on Clinical Data and Including Radio-Sensitivity Variation

Authors: Carlo Greco, Joep Stroom, Sandra Vieira

Affiliation: Champalimaud Center for the Unknown

Abstract Preview: Purpose: RTP safety margins are generally based on geometrical uncertainties alone and not directly on clinical outcome. Here we use clinical dose-constraint data to generate dosimetric margins for OA...

An Ultra-High Parallel Performance (UHPP) Framework for Highly Complex Radiotherapy Planning

Authors: Lu Jiang, Shusen Jing, Qihui Lyu, Dan Ruan, Ke Sheng, Qifan Xu

Affiliation: Department of Radiation Oncology, University of California, Los Angeles, University of California San Francisco, Department of Radiation Oncology, University of California at San Francisco, Department of Radiation Oncology, University of California, San Francisco

Abstract Preview: Purpose: In radiotherapy, the conformity and compactness of dose distribution are vital to patient outcomes. The introduction of highly complex planning, such as 4π radiotherapy, has provided a system...

Analysis of Orthopedic Metal Artifact Reduction’s (O-MAR’s) Effectiveness on Correcting Typical Anatomical Structure Average Volumetric Hounsfield Unit (AVHU) Values Due to High-Density Metal Artifacts

Authors: John T Barrett, Mehnaz Haque, Chulhaeng Huh, Shands James, Thomas B. Lavin, Anobel Maghsoodpour, Farshad Mostafaei, Austin Sanders

Affiliation: Department of Radiation Oncology, Augusta University, Department of Radiation Oncology, Medical College of Georgia, Augusta University, Georgia Radiation Therapy Center, Wellstar-MCG Health, Department of Radiation Oncology, Doctors Hospital of Augusta, Department of Radiology and Imaging, Augusta University

Abstract Preview: Purpose: This study assesses Philips’ O-MAR effectiveness in adjusting AVHU values of common anatomical materials affected by various high-density metal artifacts at varying distances.

Methods:...

Application and Analysis of Advanced 3D Printed Materials As Bolus for Radiation Therapy

Authors: Rami M. Shorti, Gary R. Stinnett

Affiliation: Intermountain Health, Radiation Oncology, Intermountain Health, Advanced Visualization Engineering Department

Abstract Preview: Purpose: In this work we present the workflow, materials analysis, and lessons learned from leveraging advanced 3D printing Polyjet Technology to print conformal bolus for radiation therapy.
Method...

Application of the Lymphodose Framework to Brain Tumors: Unveiling the Prognostic Power of Circulating Lymphocyte Doses

Authors: Sophie Bockel, Eric Deutsch, Frederic Dhermain, Ibrahima Diallo, Anh Thu Le, Elaine Limkin, Pauline Maury, Charlotte Robert, Killian Sambourg, Camilla Satragno, Cristina Veres, François de Kermenguy

Affiliation: Gustave Roussy, Département de radiothérapie, Université Paris-Saclay, Gustave Roussy, Inserm U1030, Radiothérapie Moléculaire et Innovation Thérapeutique

Abstract Preview: Purpose:
To study the correlation between the dose to circulating lymphocytes as evaluated by the LymphoDose framework and the incidence of severe radiation-induced lymphopenia (sRIL) in patients t...

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...

Assessing the Feasibility of LD-V1 Film for Annual Kilovoltage Imaging Dose Measurements

Authors: Maria F. Chan, Seng Boh Gary Lim, Shih-Chi Lin, Dustin W. Lynch, Usman Mahmood, Jeonghoon Park

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

Abstract Preview: Purpose: To explore the feasibility of using GafChromic LD-V1 film for annual imaging dose assessment across kV radiography, fluoroscopy, and cone beam computed tomography (CBCT) imaging protocols, as...

Assessment of Deep Learning Models for 3D Dose Prediction in Prostate Cancer SIB-IMRT Using MR-Linac

Authors: Hao-Wen Cheng, Jonathan G. Li, Chihray Liu, Wen-Chih Tseng, Guanghua Yan

Affiliation: University of Florida

Abstract Preview: Purpose: This study develops and evaluates deep learning (DL) models for predicting 3D dose distributions in simultaneous integrated boost (SIB) prostate cancer treatment using the Elekta Unity MR-Lin...

Assessment of the Dosimetric Characteristics of Brass Mesh Bolus in Electron Radiation Therapy

Authors: Hungcheng Hank Chen, Laura A. Doyle, Helena Frisbie-Firsching, Amy S. Harrison, Jackson D Reeves, Lindsay B Romak, Jon Strasser

Affiliation: Christiana Care

Abstract Preview: Purpose: Brass mesh bolus (BMB) is a high-density woven metal mesh which is an excellent alternative to tissue equivalent bolus in photon beams, offering improved surface conformality. Unlike utilizat...

Attention-Based Multiple Instance Learning of Head and Neck Cancer Grading on Digital Pathology Using Vision-Language Foundational Models

Authors: Kyle J. Lafata, Xiang Li, Megan K. Russ, Zion Sheng

Affiliation: Duke University, Department of Radiation Oncology, Duke University, Clinical Imaging Physics Group, Department of Radiology, Duke University Health System

Abstract Preview: Purpose: To adapt Vision-Language Foundational Models (VLFM) to perform HNSCC tumor grading on H&E whole slide images (WSI) via attention-based multiple instance learning (ABMIL).
Methods: We utili...

Automated Full-Body Tumor Segmentation from PET/CT Images

Authors: Austin Castelo, Xinru Chen, Caroline Chung, Laurence Edward Court, Jaganathan A Parameshwaran, Zhan Xu, Jinzhong Yang, Yao Zhao

Affiliation: The University of Texas MD Anderson Cancer Center, Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Department of Imaging Physics, The University of Texas MD Anderson Cancer Center

Abstract Preview: Purpose:
To develop a deep learning-based segmentation model to automatically delineate tumors from full-body PET/CT images.
Methods:
PET/CT image pairs of 91 patients were collected for this...

Automated Multimodal Image Registration for Prostate Bed Radiation Treatment

Authors: Quan Chen, Xue Feng, Chunhui Han, Gaofeng Huang, Trevor Ketcherside, Yi Lao, Yun Rose Li, An Liu, Bo Liu, Kun Qing, William T. Watkins

Affiliation: Graduate Program in Bioengineering, University of California San Francisco-UC Berkeley, Department of Radiation Oncology, City of Hope National Medical Center, Mayo Clinic Arizona, Carina Medical LLC

Abstract Preview: Purpose: New treatment platforms such as Ethos (Varian Medical Systems) allow the introduction of multi-modal imaging into adaptive radiotherapy workflow to facilitate an up-to-date view of patients’ ...

Automated Quantification of Irradiation-Induced Effects on Ribosome Biogenesis Using Foundational AI Model and Image Analysis

Authors: Kyle J. Wang, Yading Yuan

Affiliation: Bergen County Technical High School, Columbia University Irving Medical Center, Department of Radiation Oncology

Abstract Preview: Purpose: Genotoxic cancer therapies inevitably damage normal cells, particularly circulating hematopoietic cells, posting a risk for therapy-induced leukemia. This study aims to develop an automated i...

Automatic Contour Quality Assurance Using Deep-Learning Based Contours

Authors: Laurence Edward Court, Raphael Douglas, David Fuentes, Anuja Jhingran, Barbara Marquez, Raymond Mumme, Christine Peterson, Julianne M. Pollard-Larkin, Surendra Prajapati, Dong Joo Rhee, Thomas J. Whitaker

Affiliation: MD Anderson Cancer Center, The University of Texas MD Anderson Cancer Center, MD Anderson, Department of Radiation Physics, The University of Texas MD Anderson Cancer Center

Abstract Preview: Purpose: Safe deployment of auto-contouring models requires the inclusion of automated quality assurance (QA). One approach is to use an independent auto-contouring model and compare the contours geom...

BEST IN PHYSICS MULTI-DISCIPLINARY: Motion-Resolved Dynamic CBCT Reconstruction Using Prior-Model-Free Spatiotemporal Gaussian Representation (PMF-STGR)

Authors: Hua-Chieh Shao, Chenyang Shen, Jiacheng Xie, Shunyu Yan, You Zhang

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

Abstract Preview: Purpose: Motion-resolved CBCT imaging, which reconstructs a dynamic sequence of CBCTs reflecting intra-scan motion (one CBCT per x-ray projection), is highly desired for regular/irregular motion chara...

BEST IN PHYSICS RADIOPHARMACEUTICALS, THERANOSTICS AND NUCLEAR MEDICINE: Characterization and Dose Rate Calibration of a Semiconductor-Based Radiation Imaging Survey Meter

Authors: Steven Brown, Mike Hopkins, Jerimy C. Polf, Scott Sawyer, Benjamin L. Viglianti

Affiliation: H3D, inc, University of Michigan, M3D, Inc, M3D Imaging

Abstract Preview: Purpose: We characterized the sensitivity, energy dependence, and calibrated dose rate for a radiation imaging survey meter (RAVIN Cam; M3d inc., Ann Arbor MI) based on cadmium zinc telluride (CZT) cr...

BEST IN PHYSICS THERAPY: Overcoming Challenges in Developing Machine Learning-Driven Acute Kidney Injury Predictive Models Using Non-Standard Emrs in Resource-Limited Settings

Authors: Yuanhan Chen, Ziqiang Chen, Qi Cheng, Feng Ding, Rui Fang, Shengwen Guo, Li Hao, Qiang He, Haiquan Huang, Yu Kuang, Xinling Liang, Yuanjiang Liao, Guohui Liu, Chen Lu, Qingquan Luo, Jing Sun, Yanhua Wu, Zhen Xie, Qin Zhang, Lang Zhou

Affiliation: South China University of Technology, Dongguan people's hospital, Sichuan Provincial People's Hospital, People’s Hospital of Xinjiang Uygur Autonomous Region, Second Hospital of Anhui Medical University, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangdong Easy Life Information Technology Co., Ltd, Shanghai Ninth People's Hospital, Shanghai Jiaotong University School of Medicine, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Traditional Chinese Medicine), Medical Physics Program, University of Nevada, Second Hospital of Jilin University, Chongqing Ninth People's Hospital

Abstract Preview: Purpose: Acute kidney injury (AKI) is a global healthcare issue with a rapid onset and severe consequences. Repeated measurement of serum creatinine (SCr) levels, a clinical standard of care, is cruci...

Biomechanically Informed Diagnostic-to-Synthetic CT Transformation for Expedited Radiation Therapy Planning

Authors: Liyuan Chen, Steve Jiang, Chenyang Shen

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

Abstract Preview: Purpose: Delays in radiation therapy (RT) initiation caused by conventional CT simulation processes can hinder timely treatment delivery and patient outcomes. This study proposes a Virtual Treatment S...

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 Dose Measurement for Common Protocols on Elekta Versahd and Varian Truebeam

Authors: Yingxuan Chen, Jun Li, Alexis N. Webb

Affiliation: Thomas Jefferson University

Abstract Preview: Purpose: Cone-beam computed-tomography (CBCT) is widely used for image-guided therapy. Cumulative dose from repeated CBCT might be a concern. This study aims to measure and compare the CBCT dose for c...

COMS Eye Plaque Builds Using 3D Printed Template Stamps and Duralay

Authors: Vishruta A. Dumane, Andrew Lukban, Charlotte Elizabeth Read, Mario Serrano-Sosa, Ren-Dih Sheu, Nadia M. Vassell

Affiliation: Icahn School of Medicine at Mount Sinai, Mount Sinai Beth Israel

Abstract Preview: Purpose:
Defined seed positions are used when following the COMS formalism for eye plaques. Au inserts are typically used as templates for placement of radioactive seeds and then covered in Duralay...

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...

Characterization of Commercially-Available Dosimeters and Prototype Diamond Detectors for Absolute Flash Dosimetry of Small-Field Pulsed Proton Beams

Authors: Ronald C Chen, Hao Gao, Nicolas Gerard, Harold Li, Yuting Lin, Jarrick Nys, Jufri Setianegara, Mark Szczepanski, Aoxiang Wang

Affiliation: 4Physikalisch-Technische WerkstÀtten (PTW), Department of Biomedical Engineering, Huazhong University of Science and Technology, Ion Beam Applications (IBA), Department of Radiation Oncology, University of Kansas Medical Center

Abstract Preview: Purpose: Modern synchrocyclotrons can produce magnetically-scanned protons at ultra-high dose-rates (FLASH). However, their pulsed nature leads to high doses-per-pulse (DPP) which can cause non-neglig...

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...

Checking of Sensitivity of Volumetric Modulated Arc Therapy Quality Assurance System with a Cavity Generation Method

Authors: Kaile Li, Esmail Parsai

Affiliation: Alexander T. Augusta Military Medical Center, Alexander T. Augusta Miliary Medical Center

Abstract Preview: Purpose: To evaluate the sensitivity of the portal dosimetry system with the Arc CHECK system at identical Volumetric Modulated Arc Therapy (VMAT) setup
Methods: An Arc CHECK system from Sun Nuclea...

Clinical Experience with an Independent Dose Calculation Software for ZAP-X Stereotactic Radiosurgery

Authors: Michael Evan Chaga, Timothy Chen, Darra M. Conti, Shabbar Danish, Jing Feng, Wenzheng Feng, Joseph Hanley, Tingyu Wang

Affiliation: Hackensack Meridian Health, Jersey Shore University Medical Center

Abstract Preview: Purpose: ZapMU is the first independent monitor unit check software freely available supporting ZAP-X. In this study, the clinical experience with ZapMU for independent second check of dose calculatio...

Clinical Implementation of Volumetric Modulated Arc Therapy (VMAT) for Total Body Irradiation (TBI) with Off-the-Shelf Tools

Authors: Kai-Cheng Chuang, Oana I. Craciunescu, Christopher Kelsey, Joseph Kowalski, Nicole Larrier, Xinyi Li, Sheridan G. Meltsner, Anna E. Rodrigues, Yang Sheng, Qiuwen Wu

Affiliation: Duke University, Duke University Medical Center

Abstract Preview: Purpose: To clinically implement a Volumetric Modulated Arc Therapy (VMAT) procedure for Total Body Irradiation (TBI) with off-the-shelf tools.
Methods: Patient is treated on linac couch with a hyb...

Clinical Trial Reporting, Reproducibility, and Standardization: Consistency for Implementation.

Authors: Stella Flampouri, Heng Li, Sarah Quirk, Timothy Ritter, Mihaela Rosu-Bubulac, Toni M. Roth, Michael B. Roumeliotis, Koren Smith, Wade P. Smith

Affiliation: Johns Hopkins University, Virginia Commonwealth University, University of Washington, VCU Health System, UMass Chan Medical School/IROC RI, Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Emory University, Brigham and Women's Hospital; Harvard Medical School, Memorial Sloan Kettering Cancer Center

Abstract Preview: Purpose: To assess clinical trial reproducibility for translation to standard clinical care in radiation therapy.
Methods: The systematic review adheres to the Preferred Reported Items for Systemat...

Combining Flat-Panel Imaging and Internal BB Markers for Precise HDR Brachytherapy Source Localization

Authors: Yibin Ling, Qihui Lyu, Ke Sheng

Affiliation: University of California Berkeley, Department of Radiation Oncology, University of California, San Francisco

Abstract Preview: Purpose:
High Dose Rate (HDR) brachytherapy enables radiation to concentrate on the tumor by sending the high-dose-rate radioactive source directly to the treatment site. On the other hand, the sha...

Combining Patch-Based CNN Models with Hierarchical Shapley Explanations for Breast Cancer Diagnosis

Authors: Xuelian Chen, John Ginn, Zhuhong Li, Kaizhong Shi, Chunhao Wang, Jianliang Wang, Chuan Wu, Zhenyu Yang, Fang-Fang Yin, Jingtong Zhao

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

Abstract Preview: Purpose: Developing deep learning-based models for accurate automated breast cancer diagnosis from mammography presents significant challenges due to the small size and subtle nature of breast lesions...

Commissioning Silicone Tissue-Compensating Bolus for Electron Beam Therapy

Authors: Carla D. Bradford, Linda Ding, Yansong Geng, Alan Hartford, I-Lin Kuo, Salvatore LaRosa, Joshua N Wancura

Affiliation: University of Massachusetts Chan Medical School

Abstract Preview: Purpose: When treating nasal skin cancers, electron beam radiotherapy dose distributions can be improved by using custom bolus to compensate for uneven surfaces. Here we describe our experience commis...

Commissioning and Validation of Monaco Proton Treatment Planning System on a Compact Proton Therapy System

Authors: Shupeng Chen, Xiaoda Cong, Raymond Dalfsen, Rohan Deraniyagala, Xuanfeng Ding, James E. Dolan, Xiaoqiang Li, Jian Liang, Peilin Liu, An Qin, Martin Soukup, Craig Stevens, Xiangkun Xu, Weili Zheng

Affiliation: Corewell Health William Beaumont University Hospital, Corewellhealth William Beaumont University Hospital, William Beaumont University Hospital, Elekta, Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Corewellhealth William Beaumont Hospital, Department of Radiation Oncology, Corewell Health William Beaumont University Hospital

Abstract Preview: Purpose: To facilitate clinical use of the proton feature of Monaco treatment planning system(TPS), we commissioned and validated it on a compact proton therapy system.
Methods: Pencil Beam Scannin...

Comparing SPECT Dose Reconstruction Algorithm Accuracy As a Function of Imaging Parameters

Authors: Srinivas Cheenu Kappadath, Brian Michael Kelley, Benjamin P. Lopez

Affiliation: UT MD Anderson Cancer Center

Abstract Preview: Purpose:
Imaging systems are subject to errors from finite spatial resolution and voxel size. This work demonstrates their effect on dose algorithm {Monte Carlo (MC), dose-volume kernel (DVK), and ...

Comparing the Rsp Accuracy of a Fast Switching Dual-Energy CT to Single-Energy CT Using Proton CT in Animal Tissue.

Authors: Paul Deak, Yang Li, Mark Pankuch, Yanling Qu, Maggie Stauffer, Hazel Wang

Affiliation: Northwestern Medicine Proton Center, GE, Northwestern Medicine

Abstract Preview: Purpose: The objective is to evaluate Relative Stopping Power(RSP) accuracy of ultra-fast switching KV Dual-Energy CT(DECT) in animal tissue and compare it to the RSP converted from Single Energy CT(S...

Comparison of Biological Effectiveness of COMS Eye Plaques with I-125 and Pd-103 Sources Using Equivalent Uniform RBE-Weighted Dose

Authors: Jonathan J. Chen, Alexei V. Chvetsov, Yulun He, Ramesh Rengan, Andrew Stacey, Kent Wallner

Affiliation: University of Washington and Fred Hutchinson Cancer Center, University of Washington

Abstract Preview: Purpose: To show that the RBE of low-energy photon sources used in COMS (Collaborative Ocular Melanoma Study) eye plaques compensates for protracted irradiation and attenuation of low-energy photons i...

Conformal Flash for Large Treatment Fields

Authors: Julien Forthomme, Carolina Llina Fuentes, Valentin Hamaide, Lucian Hotoiu, Rudi Labarbe, Rasmus Nilsson, Arnaud Pin, Francois Vander Stappen, Erik Traneus

Affiliation: RaySearch Laboratories AB, Ion Beam Applications SA

Abstract Preview: Purpose: Conformal FLASH achieves ultra-high-dose-rate (UHDR) proton therapy (>40 Gy/sec) by scanning a mono-energetic pencil beam through accessories (range shifter, Conformal Energy Modulator, apert...

Cross-Calibration and Comparison of CT Number to Electron Density Using Two Calibration Phantoms

Authors: Afrouz Ataei, Xinhui Duan, Andrew R. Godley, Mi-Ae Park, Mahbubur Rahman, Liqiang Ren, Chenyang Shen, Gary Xu

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

Abstract Preview: Purpose:
Electron density (ED) phantoms are crucial for calibrating CT number (HU) to relative ED in treatment planning. This study evaluates the differences in HU-to-ED calibrations between two co...

Cross-Calibration of CT Number to Electron and Physical Density: Feasibility of Using Diagnostic Scans for Treatment Planning

Authors: Afrouz Ataei, Andrew R. Godley, Mi-Ae Park, Mahbubur Rahman, Liqiang Ren, Chenyang Shen, Gary Xu

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

Abstract Preview: Purpose: Even though many patients undergo diagnostic CT scans prior to treatment, simulation CT scans are commonly required for treatment planning. This study evaluates whether prior diagnostic CT sc...

Cross-Slice Attention for Unsupervised 3D Pelvic CBCT to CT Translation

Authors: Xu Chen, Jun Lian, Yunkui Pang, Pew-Thian Yap

Affiliation: University of North Carolina at Chapel Hill, Huaqiao University

Abstract Preview: Purpose: Unsupervised CBCT-to-CT translation in the pelvic region is essential for accurate radiotherapy delivery and adaptive image-guided interventions. However, current models for cross-modality tr...

Data-Driven Gating in Ga-68 PET/CT: Impacts on Patient Selection and Dosimetry Predictions in Radiopharmaceutical Therapy

Authors: Zhuo Chen, Tinsu Pan, Allan Thomas

Affiliation: Mallinckrodt Institute of Radiology, Washington University School of Medicine, WashU Medicine, UT MD Anderson Cancer Center

Abstract Preview: Purpose: Misregistration between data-driven gated (DDG)-PET and CT can limit the benefits of motion correction and improved localization and quantitation. DDG-CT offers a solution to these issues. He...

Deep Learning Based Filter with Back-Projection Operator for CT Reconstruction

Authors: Justus Adamson, Mu Chen, Ke Lu, Zhenyu Yang, Fang-Fang Yin, Rihui Zhang, Yaogong Zhang, Haipeng Zhao, Haiming Zhu, Yuchun Zhu

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

Abstract Preview: Purpose: In filtered back-projection (FBP) reconstruction, conventional filters often reduce noise at the expense of high-frequency details, leading to structural details loss. To address this limitat...

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 Convolutional Neural Network-Based Breast Cancer Localization for Mammographic Images: A Study on Simulated and Clinical Images

Authors: Xiaoyu Duan, Xiang Li, Wenbo Wan, Lei Zhang, Yiwen Zhang

Affiliation: Duke University, Medical Physics Graduate Program, Duke Kunshan University

Abstract Preview: Purpose: Breast screening has been proved to reduce breast cancer mortality by early detection and treatment for patients. Mammography is the most common and widely used technique for breast cancer sc...

Deeptuning: A Deep Learning Dose Prediction Framework for Interactive Plan Tuning

Authors: Mingli Chen, Huan Amanda Liu, Weiguo Lu, Lin Ma

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

Abstract Preview: Purpose: To reduce the back-and-forth in planning process between physicians and dosimetrists resulting from trade-off exploration, we proposed a novel deep learning framework called DeepTuning.
Me...

Determination of HU Override for Small Metal Implants in Proton Therapy

Authors: Matthew Stephen Andriotty, Taoran Cui, Harold Y Hu, Ke Nie, Tan Phan, Xiao Wang, Ning J. Yue, Chengzhu Zhang

Affiliation: Rutgers Cancer Institute of New Jersey, Basis Scottsdale

Abstract Preview: Purpose: Metallic implants are often non-isocentric, and their exact volumes/orientations/shapes are difficult to capture and contour accurately on CT images even if that information is known beforeha...

Determine the Isocenter and Its Size for MR Linac Unity Part1: (U V) of Cax

Authors: Ting Chen, Siming Lu, Tanxia Qu, Hesheng Wang

Affiliation: NYU Langone Health

Abstract Preview: Purpose: This study, the first in a two-part series, aims to determine the isocenter position and size for the MR Linac UNITY, focusing on the central axis (CAX) alignment of its Multi-Leaf Collimator...

Developing Patient-Specific Functional Atlases with Inverse Distance Weighting of MR Images

Authors: Chibawanye I. Ene, Sherise D. Ferguson, Ping Hou, Vinodh A. Kumar, Ho-Ling Anthony Liu, Kyle R. Noll, Sujit S. Prabhu, Jian Ming Teo, Max Wintermark

Affiliation: Department of Neuro-Oncology, The University of Texas MD Anderson Cancer Center, Department of Neuroradiology, The University of Texas MD Anderson Cancer Center, Department of Neurosurgery, The University of Texas MD Anderson Cancer Center, Department of Imaging Physics, The University of Texas MD Anderson Cancer Center

Abstract Preview: Purpose:
Functional brain atlases are used to guide clinical functional MRI (fMRI) analyses. Imprecise assertions may introduce the ecological fallacy as atlases are reflective of the constituent c...

Developing and Using Barcode-Reading Type Portable OCT Imaging System to Detect Surgical Margin

Authors: Dukagjin Blakaj, Zhilin Hu, Stephen Kang, Abberly Lott Limbach, Lanchun Lu, Henry Xiang, Jie Zhang

Affiliation: Pharostek, Department of Pediatrics, The Ohio State University, Department of Radiation Oncology, The Ohio State University Wexner Medical Center, Department of Radiology, University of Kentucky, Department of Pathology, The Ohio State University, Department of Radiation Oncology, The Ohio State University, Department of Otolaryngology, The Ohio State University

Abstract Preview: Purpose: Detect surgical margin in vivo using an original barcode-reading type portable OCT imaging system.
Methods: We developed a barcode-reading type portable optical coherence tomography (OCT) ...

Development of a Beam Profile Variation Observation Model for Intensity Modulated Radiotherapy

Authors: Kaile Li

Affiliation: Alexander T. Augusta Miliary Medical Center

Abstract Preview: Purpose: To develop a experimental method in observation of beam profile transfer model in intensity modulated radiotherapy (IMRT).
Methods: A picket fence plan was generated in Eclipse treatment p...

Development of a Brain-like Digital Reference Object of Resting-State Functional MRI

Authors: Henry Szu-Meng Chen, Mu-Lan Jen, Vinodh A. Kumar, Ho-Ling Anthony Liu, Jian Ming Teo

Affiliation: School of Medicine, University of Colorado Denver, Department of Neuroradiology, The University of Texas MD Anderson Cancer Center, Department of Imaging Physics, The University of Texas MD Anderson Cancer Center

Abstract Preview: Purpose: Resting-state (rs-) fMRI detects functional networks by measuring synchronization of low-frequency oscillations in blood-oxygenation-level-dependent (BOLD) signals between brain regions. Stan...

Development of a Deep Learning Model for Accurate Brain Dose Prediction in Multi-Target Stereotactic Radiosurgery Plan Evaluation

Authors: Wenchao Cao, Yingxuan Chen, Haisong Liu, Wenyin Shi, Wentao Wang, Lydia J. Wilson, Zhenghao Xiao

Affiliation: Thomas Jefferson University

Abstract Preview: Purpose: Multi-target stereotactic radiosurgery (SRS) planning poses challenges due to complex geometries, small target volumes, and steep dose gradients. Achieving a balance between target coverage a...

Developments of a Low-Cost Multi-Target Winston-Lutz Phantom and Software for SRS Linac Machines

Authors: Nellie Brovold, Wenbo Gu, Huan Amanda Liu, Lin Ma

Affiliation: University of Pennsylvania, Mayo Clinic

Abstract Preview: Purpose: To develop a low-cost comprehensive QA phantom and software for single-iso multi-target SRS Linac machines. This phantom can perform 1) Winston-Lutz QA test for on-axis and off-axis targets, ...

Diffusion Model-Based Motion Correction in Portable Computed Tomography for Brain: Human Observer Study

Authors: Rajiv Gupta, Rehab Naeem Khalid, Min Lang, Michael H Lev, Quirin Strotzer, Matthew Tivnan, Maryam Vejdani-Jahromi, Dufan Wu, Siyeop Yoon, Chen Zhennong

Affiliation: Massachusetts General Hospital

Abstract Preview: Purpose: Patient motion is a major source of artifacts in portable brain CT due to the slow scanning speed. A diffusion model was developed to reduce these motion artifacts. This work aims to assess t...

Diffusion-Based PET Image Enhancement in Bgrt

Authors: David J. Carlson, Huixiao Chen, Tianqi Chen, Jun Hou, Chi Liu, Qiong Liu, Henry S. Park, Huidong Xie

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

Abstract Preview: Purpose:
The RefleXionÂź X1 Biology-guided radiotherapy (BgRT) system consists of dual PET detectors, a 6MV linear accelerator (linac), a 64-leaf collimator, an MVD detector, and a CT scanner mounte...

Dosimetric Assessment of Multicriteria Optimization for Accelerated Partial Breast Irradiation (APBI)

Authors: Alyssa Gadsby, William J. Godwin, Jennifer L. Harper, Daniel G. McDonald, Jean L. Peng, Alek K. Rapchak, Sean A Roles, Austin M. Skinner, Stephanie Tan

Affiliation: Medical University of South Carolina

Abstract Preview: Purpose: Multi-Criteria Optimization (MCO) theoretically allows for increased dose control during optimization. This study is the first to compare standard optimization (SO) and MCO for accelerated pa...

Dosimetric Comparison of Lattice and 3D Grid VMAT Planning for Spatially Fractionated Radiotherapy

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 conduct a dosimetric comparison between lattice radiotherapy (LRT) and 3D grid treatment planning techniques, focusing on their differences in delivering three-dimensional ...

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 ...

Efficient Denoising of Low-Statistic Influence Matrices Using a Diffusion Transformer-Based Framework for Adaptive Proton Therapy

Authors: Yuzhen Ding, Hongying Feng, Jason Michael Holmes, Baoxin Li, Wei Liu, Daniel Ma, Lisa McGee, Samir H. Patel, Jean Claude M. Rwigema, Sujay A. Vora

Affiliation: Arizona State University, Department of Radiation Oncology, Mayo Clinic, Mayo Clinic Arizona, Mayo Clinic

Abstract Preview: Purpose:
Intensity-modulated proton therapy (IMPT) is a preferred treatment modality for head and neck (H&N) cancer patients, offering precise tumor targeting while sparing surrounding organs at ri...

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 Monte Carlo Simulation of Radiation-Induced Double Strand Break Production and Repair Kinetics

Authors: Zakaria Aboulbanine, Greeshma A. Agasthya, Paul Inman, Anuj J. Kapadia, Anthony Hong Cheol Lim, Jayasai Ram Rajagopal, Chris C. Wang

Affiliation: Oak Ridge National Laboratory, Georgia Institute of Technology

Abstract Preview: Purpose: Radiobiological simulation via TOPAS-nBio requires significant computational resources and time to provide meaningful results. This study aims to decrease simulation time and computational re...

Enhanced Lung Function Assessment through Machine Learning Analysis of 4DCT Subregional Respiratory Dynamics

Authors: Jing Cai, Zhi Chen, Hong Ge, Yu-Hua Huang, Bing Li, Zihan Li, Ge Ren

Affiliation: Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Department of Radiation Oncology, The Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital

Abstract Preview: Purpose: Algorithms based on subregional respiratory dynamics (SRD) capture spatiotemporal heterogeneity in the ventilation process, though rely on empirical modelings to map surrogate ventilation. Gi...

Enhancing CNN-Based Brain Metastasis Detection in MRI By Integrating Locoregional 3D Deformation Technique

Authors: Minbin Chen, Ke Lu, Kaizhong Shi, Chunhao Wang, Chuan Wu, Zhenyu Yang, Fang-Fang Yin, Jingtong Zhao

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

Abstract Preview: Purpose: MRI-based automatic detection of brain metastases is often challenged by the small size and subtle nature of metastases. This study aimed to develop a novel deep learning-based brain metastas...

Enhancing Dosimetric Conformity in Single-Energy Bragg Peak Flash Therapy Using Aperture-Based Techniqu

Authors: Chin-Cheng Chen, Chingyun Cheng, Longfei Diao, Benjamin Durkee, Minglei Kang, Haibo Lin, LeLe Liu, Yangguang Ma, Xuanqin Mou, YunTong Pei, Charles B. Simone, YuFei Wang, Xueqing Yan, Xingyi Zhao, Wang Zhengda

Affiliation: Peking University, St. Jude Children's Research Hospital, New York Proton Center, 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 Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Department of Human Oncology, University of Wisconsin-Madison

Abstract Preview: Purpose: This study evaluates the effectiveness of apertures in improving lateral dose falloff in proton pencil beam scanning (PBS) single-energy Bragg peak (SEBP) FLASH radiotherapy (RT). The approac...

Enhancing Radiotherapy Planning with Machine Learning: Correlating Anatomical Features and Planning Difficulty to Guide Optimal Plan Design

Authors: Li Chen, Shouliang Ding, Xiaoyan Huang, Lecheng Jia, Hua Li, Hongdong Liu, Yanfei Liu, Zun Piao, Guangyu Wang

Affiliation: State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Shenzhen United Imaging Research Institute of Innovative Medical Equipment

Abstract Preview: Purpose: Optimal radiotherapy planning is challenging, influenced by anatomical factors such as surrounding organs and tumor characteristics, which complicate dose distribution and target coverage. Wh...

Enhancing T2-Weighted Brain MRI Resolution across Orientations Using AI-Based Volumetric Reconstruction

Authors: Mengqi Shen, Meghna Trivedi, Tony J.C. Wang, Andy (Yuanguang) Xu, Yading Yuan

Affiliation: Columbia University Medical Center, Dept of Med Hematology & Oncology, Data Science Institute at Columbia University, Columbia University Irving Medical Center, Department of Radiation Oncology, Columbia University Irving Medical Center

Abstract Preview: Purpose: T2-weighted (T2w) images are critical for identifying pathological changes due to their superior contrast in differentiating tissue types. However, they often lack detailed anatomical resolut...

Evaluating Tumor Shrinkage Using Fractionated Radiotherapy: A Mixed Finite Element Method (FEM) for Free Boundary Problem

Authors: Xianjin Dai, PhD, Xiang Wan, Lei Xing, Qiuyun Xu, Lewei Zhao, Zeyu Zhou

Affiliation: Department of Radiation Oncology, Stanford University, Carl Zeiss X-ray Microscopy, Department of Mathematics and Statistics, Loyola University Chicago, Department of Radiation Oncology, City of Hope National Medical Center

Abstract Preview: Purpose: The purpose of this study is to examine and quantify tumor shrinkage over time in response to fractionated radiotherapy. We seek to establish a predictive model that can provide a systematic ...

Evaluating the Adequacy of Planning Target Volume Margins in Lung Stereotactic Body Radiation Therapy: Assessment of Intrafraction Motion Using a Fiducial Marker

Authors: Rashmi Benda, Qinghao Chen, Shifeng Chen, Giovanni Lasio, Peter Olivieri, Huijun Xu, Junliang Xu, Byong Yong Yi, Baoshe Zhang, Jinghao Zhou

Affiliation: University of Maryland Baltimore Washington Medical Group, Department of Radiation Oncology, University of Maryland School of Medicine, Capital Region Medical Center, University of Maryland Shore Regional Cancer Center

Abstract Preview: Purpose:
We investigated if the patients receiving lung stereotactic body radiation therapy (SBRT) have adequate planning target volume (PTV) margins by evaluating the intrafraction motion using a ...

Evaluating the Role of Surface-Guided Radiotherapy in Prone Breast Cancer Treatment

Authors: Shifeng Chen, Mariana Guerrero, Michael J. MacFarlane, Huijun Xu, Baoshe Zhang, Jinghao Zhou

Affiliation: University of Maryland School of Medicine, Department of Radiation Oncology, University of Maryland School of Medicine, Capital Region Medical Center, University of Maryland Shore Regional Cancer Center

Abstract Preview: Purpose: The clinical value of surface-guided radiotherapy (SGRT) in prone breast cancer setups is much less established than in supine setups. This study explores SGRT's potential for prone breast pa...

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 MR Proton Density Fat Fraction (PDFF) for Bone Marrow Protection in RT

Authors: Li Tong, Chuyan Wang, Zhengkui Wang, Yingli Yang, Jie Zhang

Affiliation: Shanghai United imaging Healthcare Advanced Technology Research Institute, Shanghai United Imaging Healthcare Co., LTD, Department of Radiology, Ruijin Hospital, Institute for Medical Imaging Technology, Ruijin Hospital

Abstract Preview: Purpose:
Pelvic radiotherapy (RT)-induced bone marrow (BM) damage affects patient prognosis by causing hematologic toxicity. However, consensus on BM-sparing (BMS) RT is still lacking, owing to the...

Evaluation of the Isopoint System for Coincidence of Radiation and Physical Isocenter Checks of Linear Accelerators

Authors: Peter Balter, Thomas Alexander Cuthbert, Weiliang Du, Song Gao, Nicholas Zacharopoulos

Affiliation: Aktina Medical Corp, The University of Texas MD Anderson Cancer Center

Abstract Preview: Purpose: The purpose of this study is to evaluate the accuracy and reproducibility of a commercial product for verifying the size, location, and coincidence of physical isocenter (P_iso) and radiation...

Fast Synthetic-CT-Free Dose Calculation in MR Guided RT

Authors: Claus Belka, Stefanie Corradini, George Dedes, Nikolaos Delopoulos, Christopher Kurz, Guillaume Landry, Ahmad Neishabouri, Domagoj Radonic, Adrian Thummerer, Niklas Wahl, Fan Xiao

Affiliation: Department of Radiation Oncology, LMU University Hospital, LMU Munich, Department of Medical Physics, LMU Munich, Department of Medical Physics in Radiation Oncology, German Cancer Research Center (DKFZ), National Center for Radiation Oncology (NCRO), Heidelberg Institute for Radiation Oncology (HIRO)

Abstract Preview: Purpose: In MR-guided online adaptive radiotherapy, MRI lacks tissue attenuation information necessary for accurate dose calculations. Instead of using deep learning methods to generate synthetic CT i...

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...

Feasibility Study of the Auger Electron Radiation Therapy

Authors: Chen-Ju Feng, Shih-Ming Hsu, Chin-Hsiung Lin, Shih-Yong Luo, Shao-Chun Tseng, Chin-Hui Wu, Ya-Ru Yang

Affiliation: National Yang Ming Chiao Tung University, Koo Foundation Sun Yat-Sen Cancer Center, Tzu-Chi University, NanoRay Biotech Co., Ltd

Abstract Preview: Purpose: The range of auger electrons in water is 2~500 nm, and its linear energy transfer reaches 26 keV/ÎŒm. This study investigated the feasibility of the auger electron radiation therapy.
Method...

Feasibility of Efficient Offline Adaptive Replanning with Hypersight High-Performance Cone-Beam CT on Truebeam for Pelvis RT

Authors: Jochen Cammin, Shifeng Chen, Arun Gopal, Kai Huang, Jason K Molitoris, Amit Sawant, Kai Wang

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

Abstract Preview: Purpose: The HyperSight CBCT optional feature on Varian TrueBeam linacs offers a larger field-of-view, improved Hounsfield units (HU) accuracy, and overall improved image quality, including metal arti...

Feasibility of Markerless Dynamic Tumor Tracking-VMAT Using Diaphragm Detection and Respiratory Phase-Based Offset Vector

Authors: Noriko Kishi, Takashi Mizowaki, Mitsuhiro Nakamura, Yukine Shimizu

Affiliation: Kyoto University, Kyoto Univercity, Department of Radiation Oncology and Image-applied Therapy, Kyoto University Graduate School of Medicine, Department of Radiation Oncology and Image-applied Therapy, Graduate School of Medicine, Kyoto University

Abstract Preview: Purpose: To predict tumor positions in markerless dynamic tumor tracking (ML-DTT)-VMAT by compensating for the asynchrony between the tumor and the diaphragm.
Methods: Rotational fluoroscopic X-ray...

Follow-the-Leader Framework for Adaptable Target Segmentation in Radiotherapy

Authors: Mingli Chen, Xuejun Gu, Mahdieh Kazemimoghadam, Weiguo Lu, Qingying Wang

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

Abstract Preview: Purpose: This study introduces a novel template-guided deep learning framework for primary gross tumor volume (GTVp) segmentation, addressing challenges posed by diverse tumor types and enabling a uni...

Foresight Planning: Radiotherapy Plan Optimization Via Self-Supervised Model Predictive Control

Authors: Yang Sheng, Qingrong Jackie Wu, Qiuwen Wu, Xin Wu, Dongrong Yang

Affiliation: Duke University Medical Center

Abstract Preview: Purpose:
Treatment planning for intensity-modulated radiation therapy (IMRT) and volumetric modulated arc therapy (VMAT) relies on inverse planning, an iterative and non-intuitive process of adjust...

Free-Breathing Spirometer-Gated Proton Pencil Beam Scanning Delivery Maintains Tumor Coverage with Improved Organ-at-Risk Sparing: A Motion Phantom Validation

Authors: Uriel Aura, Qing Chen, Arpit M. Chhabra, J Isabelle Choi, Chanda Guha, Meng Wei Ho, Sheng Huang, Minglei Kang, Stanislav Lazarev, Nancy Y Lee, Yang Lei, Haibo Lin, Hang Qi, Mahbubur Rahman, Charles B. Simone, Shouyi Wei, Irini Yacoub, Francis Yu, Anna Zhai, Ajay Zheng

Affiliation: DYN'R Medical System, New York Proton Center, Montefiore Medical Center and Albert Einstein College of Medicine, Icahn School of Medicine at Mount Sinai, Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, Tianjin Medical University Cancer Institute&Hospital, Department of Human Oncology, University of Wisconsin-Madison

Abstract Preview: Purpose: Managing tumor motion during pencil beam scanning proton therapy remains challenging. This study investigated the feasibility and dosimetric benefits of Free-Breathing Respiratory-Gated Deliv...

Frequent MR Imaging of Fibrosis during Radiation Therapy: Implications for Adaptive RT in Gynecologic Cancer

Authors: Himanshu Bhat, Bruce Lewis Daniel, Junghoon Lee, Michael B. Roumeliotis, Ehud J. Schmidt, Ravi Seethamraju, Khadija Sheikh, Pan Su, Akila N. Viswanathan

Affiliation: Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Siemens Medical Solutions USA Inc., Stanford Medical School, Department of Cardiology, Johns Hopkins University

Abstract Preview: Purpose: To perform frequent MRI during EBRT and brachytherapy (BT) to evaluate RT-induced fibrosis and remnant tumor changes, identified using ultrashort echo-time (UTE) and multiparametric (mpMRI), ...

Gaze Angle Selection in Proton Therapy for Ocular Tumors with Machine Learning

Authors: Ling Chen, Alexei V. Trofimov, Yi Wang, Dufan Wu

Affiliation: Massachusetts General Hospital, MGH

Abstract Preview: Purpose:
Selecting gaze angles of the eye is an important part of set-up of proton therapy for ocular tumors, ensuring that the treatment beam could irradiate the tumor while maximally sparing impo...

Generation of Patient-Specific Phantom for Head & Neck Proton Therapy Based on Xcat

Authors: Cheng-En Hsieh, Shen-Hao Li, Hsin-Hon Lin, Shu-Wei Wu, An-Ci Yang

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

Abstract Preview: Purpose:
The aim of this study is to develop a framework of generating patient-specific phantom tailored for head and neck proton therapy. From these phantoms, digital reference objects based on th...

High Resolution Head Motion Correction Based on Pilot Tone Signals – a Calibration-Free Method

Authors: Cheng-Chieh Cheng, Jeffrey P Guenette, Yajun Li, Bruno Madore, Lei Qin

Affiliation: Brigham and Women's Hospital, National Sun Yat-sen University, Dana-Farber Cancer Institute

Abstract Preview: Purpose: Pilot tone (PT), a compact RF sensor, has been integrated into clinical practice for motion detection. Prior studies proposed mapping PT signals to head positions using a calibration step tha...

Image Quality Improvement Using a Patient-Specific Post-Trigger Delay Protocol for Coronary CT Angiography

Authors: Cecelia Brewington, Connor Edwards Miles All Leska-Kent, Kyrillos Grace, Katherine Hyde, Sabee Molloi, Shiva Mostafavi, Liqiang Ren, Alireza Shojazadeh, Justin Truong

Affiliation: Department of Radiology, UT Southwestern Medical Center, University of California, Irvine, University of Texas Southwestern

Abstract Preview: Purpose: To retrospectively assess image quality in coronary CT angiography (CCTA) using a patient-specific post-trigger delay (PTD) protocol, developed using half of the injection time plus a dispers...

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 Beamline Mis-Adjustment Following Central Beamline Replacement for Halcyon Linear Accelerator

Authors: Emily Y. Hirata, Xiaoyu Sherry Liu, Evan Porter, Manju Sharma

Affiliation: University of California San Francisco, University of California, San Francisco, University of California

Abstract Preview: Purpose: Introduced in 2018, the Varian Halcyon platform has increased in popularity due to its reduced cost, user-friendly design, and operational efficiency. As this platform ages, major repairs, in...

Impact of Ion Chamber Selection on Enhanced Leaf Modeling Predictions of Dosimetric Leaf Gap and Leaf Transmission Factors

Authors: Michael Ashenafi, Nicholas Becerra Espinosa, Mario Ramos Gallardo, Matthew Pacella, Sean M. Tanny

Affiliation: Department of Radiation Oncology, University of Rochester

Abstract Preview: Purpose: A new multileaf collimator (MLC) model has been introduced in Varian Eclipse v18.0, with the treatment planning system (TPS) explicitly modeling the leaf end effects. The vendor recommends a ...

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...

Impact of Tissue Heterogeneity on Proton LET and RBE Distributions: A Monte Carlo Study

Authors: Xiangli Cui, Wei Han, Jie Li, Lingling Liu

Affiliation: Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, Hefei Cancer Hospital, Chinese Academy of Sciences, Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences

Abstract Preview: Purpose: To investigate the influence of tissue heterogeneity on proton beam linear energy transfer (LET) and relative biological effectiveness (RBE) using nine RBE models. This study quantifies the i...

Impact on image quality from reduced dose conebeam CT for pediatric fluoroscopy-guided interventional (FGI) imaging

Authors: Samuel L. Brady, Kevin Chen, Joseph G. Meier

Affiliation: University of Cincinnati, Cincinnati Childrens Hospital Med Ctr

Abstract Preview: Purpose: Conebeam-CT (CBCT) acquisition protocols typically do not distinguish between adults and pediatrics. In collaboration with a fluoroscopically-guided interventional (FGI) manufacturer, new, do...

Implementation of a Visual Feedback System for Respiratory Gated Intensity Modulated Proton Therapy

Authors: Shen Fu, Jun Hou, Zuofeng LI, Taize Yuan, Qingyuan Zhang, Yuanshui Zheng

Affiliation: GuangZhou Concord Cancer Center, Guangzhou Concord Cancer Center, ćčżć·žæł°ć’Œè‚żç˜€ćŒ»é™ą

Abstract Preview: Purpose: A visual feedback system is beneficial for patients to maintain consistent respiratory signal during gated radiotherapy, especially for intensity modulated proton therapy (IMPT) where motion ...

Implementing Equity, Diversity, and Inclusion in Medical Physics Education: The Role of AI-Powered Chatbots

Authors: James Chun Lam Chow, Kay Li

Affiliation: University of Toronto, Princess Margaret Cancer Centre

Abstract Preview: Purpose: This study aims to integrate Equity, Diversity, and Inclusion (EDI) principles into AI-driven educational tools for medical physics. The goal is to create a chatbot framework that fosters acc...

Improving Head and Neck Radiotherapy Accuracy through Real-Time Volumetric Imaging Using a Kalman Filter Approach

Authors: Youssef Ben Bouchta, Chen Cheng, Owen Thomas Dillon, Mark Gardner, Paul J. Keall, Purnima Sundaresan

Affiliation: Radiation Oncology Network, Western Sydney Local Health District, Image X Institute, Faculty of Medicine and Health, The University of Sydney

Abstract Preview: Purpose: There are three clinical motivations for real time IGRT in head and neck cancer radiation therapy: (1)50% of patients experience anxiety from the patient mask (2)patient motion still occurs d...

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...

Introduce a Novel Spot-Scanning Proton Arc(SPArc) Optimization Algorithm for Single Energy Extraction(SEE) Synchrotron-Accelerator-Based Proton Therapy System (PTS)

Authors: Xiaoda Cong, Xuanfeng Ding, Gang Liu, Peilin Liu, Jiajian Shen

Affiliation: Department of Radiation Oncology, Mayo Clinic, Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Corewellhealth William Beaumont University Hospital

Abstract Preview: Purpose: This study aims to develop the first SPArc optimization algorithm based on the Dynamic Programming (SPArc-DP), to improve the treatment delivery efficiency for synchrotron-accelerator-based P...

Introducing an Equieffective 3D Dose Visualization Tool for Reirradiation Special Medical Physics Consults

Authors: James Irrer, Charles K. Matrosic, Martha M. Matuszak, Charles S. Mayo, Kelly C. Paradis, Joann I. Prisciandaro, Benjamin S. Rosen, John Yao, Claire Zhang

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

Abstract Preview: Purpose: To introduce an in-house developed tool, BioDoseUI, designed to calculate and visualize 3D equieffective dose (EQD2Gy) for treatment planning systems (TPS) without such capabilities, to facil...

Investigation of Low Iodine Concentration Detectability of Dual-Energy CT Imaging Using a Customized 3D Printed Phantom

Authors: Michalis Aristophanous, Laura I. Cervino, Maria F. Chan, Puneeth Iyengar, Hsiang-Chi Kuo, Nancy Y Lee, Xiang Li, Seng Boh Gary Lim, Usman Mahmood, Jean M. Moran, Jason Ocana

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

Abstract Preview: Purpose: To determine the limits of iodine concentration detection (LOD) and quantification (LOQ) in dual-energy computed tomography using a 3D printed phantom while considering different background, ...

Investigations on Intensity-Modulated Proton Therapy Robust-Optimization Strategies and Their Dosimetric Effects on Head and Neck Cancers

Authors: Shen Fu, Zhangmin LI, Zuofeng LI, Yuanshui Zheng

Affiliation: GuangZhou Concord Cancer Center, Guangzhou Concord Cancer Center

Abstract Preview: Purpose: To investigate the influence of different robustness optimization strategies and parameters in proton therapy plans for head and neck tumors on target coverage and OAR (organ at risk) sparing...

JACK KROHMER EARLY-CAREER INVESTIGATOR COMPETITION WINNER: Direct Measurement of an Early Change in Tumor Oxygenation in Response to Radiation with Oxygen Enhanced Electron Paramagnetic Resonance Imaging (OE-EPRI)

Authors: Jorge De La Cerda, Andrew Joseph Fanning, Tianzhe Li, Xiaofei Liang, Grace Murley, Mark Pagel, William Schuler, Renee Tran, Shuo Wang, Su-Min Zhou

Affiliation: University of Wisconsin Madison, University of Nebraska Medical Center, University of Texas MD Anderson Cancer Center

Abstract Preview: Purpose: Electron paramagnetic resonance imaging (EPRI) can be used to image partial pressure of oxygen (pO2) in tumor models. The goal of this study is to develop an Oxygen Enhanced EPRI protocol to ...

LD-V1 Film Characterization for MV Beam Quality

Authors: Ruiming Chen Edmondson, Darwin Abraham Garcia, James A. Kavanaugh, Joseph John Lucido

Affiliation: Mayo Clinic

Abstract Preview: Purpose: Characterize the dose response and reproducibility of a low-dose film for 6 MV photon beam and assess the film’s energy dependence between kV and MV energies.
Methods: A single 8’x10’ LD-V...

LLM-Enhanced Multi-Modal Framework for Predicting Pain Relief of Stereotactic Body Radiotherapy for Spine Metastases Using Clinical Factors and Imaging Reports

Authors: John Byun, Steven D Chang, Mingli Chen, Cynthia Chuang, Xuejun Gu, Melanie Hayden Gephart, Yusuke Hori, Hao Jiang, Mahdieh Kazemimoghadam, Fred Lam, Gordon Li, Lianli Liu, Weiguo Lu, David Park, Erqi Pollom, Elham Rahimy, Deyaaldeen Abu Reesh, Scott Soltys, Gregory Szalkowski, Lei Wang, Qingying Wang, Zi Yang, Xianghua Ye, Kangning Zhang

Affiliation: Department of Radiation Oncology, Stanford University, 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: Accurate prediction of pain relief is crucial in determining the clinical effectiveness of Stereotactic body radiotherapy (SBRT) regimen for spine metastases. We propose a deep-learning frame...

Lu-177 Recovery Coefficients Using Tc-99m Surrogate Method: Intra- & Inter-Scanner Comparison

Authors: Ben Piacitelli, Celeste Winters

Affiliation: OHSU, Department of Diagnostic Radiology, Oregon Health & Science University

Abstract Preview: Purpose: To compare recovery coefficients measured with Lu-177 and Tc-99m with the goal of assessing accuracy of the Tc-99m surrogate method and comparing RC reproducibility between scanners of the sa...

Lymph Node Malignancy Prediction in Head and Neck Cancer Using a Graph Neural Network

Authors: Liyuan Chen, Meixu Chen, Bowen Jing, Sepeadeh Radpour, Erich Josef Schmitz, David Sher, Jing Wang

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: Prospective clinical trials have shown that involved nodal radiation therapy (INRT) can substantially improve patients’ quality of life without increasing the risk of elective nodal failure. ...

MRI Radiomics-Based Machine Learning Model for Predicting BNCT Treatment Response in Glioblastoma

Authors: Huang Chi-Shiuan, Wu Chih-Chun, Hui-Yu Cathy Tsai, Chen Yan-Han, Chen Yi-Wei, Pan Yi-Ying

Affiliation: Institute of Nuclear Engineering and Science, National Tsing Hua University, Taipei Veterans General Hospital, Tri-Service General Hospital

Abstract Preview: Purpose:
This study aims to develop and validate a machine learning (ML) model based on MRI-derived radiomic features to predict progressive disease (PD) in glioblastoma (GBM) patients four months ...

Maximizing Integrated Treatment Planning Tools to Increase Automation for X-Ray-Based Adaptive Lung Sabr

Authors: Shahed Badiyan, Chien-Yi Liao, Mu-Han Lin, David D.M. Parsons, Justin D. Visak, Brien Timothy Washington, Kenneth Westover, Yuanyuan Zhang

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

Abstract Preview: Purpose: Adaptive radiotherapy (ART) programs are resource-intensive due to their technical complexities, requiring highly skilled planners. Leveraging integrated automated treatment planning system (...

Mid-Range Planning for Efficient and Robust Proton Arc Therapy

Authors: Mingli Chen, Xuejun Gu, Mahdieh Kazemimoghadam, Weiguo Lu, Qingying Wang, Zi Yang, Kangning Zhang, You Zhang

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

Abstract Preview: Purpose: Delivery efficiency and robustness are critical in spot-scanning proton arc therapy (SPAT), yet the conventional use of redundant energy layers (ELs) prolongs switching times and reduces effi...

Mitigating Data-Driven Uncertainty in Machine Learning-Based Radiotherapy Outcome Prediction

Authors: Ali Ajdari, Alice Bondi, Thomas R. Bortfeld, Gregory Buti, Xinru Chen, Zhongxing Liao, Antony John Lomax, Ting Xu

Affiliation: The University of Texas MD Anderson Cancer Center, Department Of Radiation Oncology, Massachusetts General Hospital (MGH), Massachusetts General Hospital & Harvard Medical School, Paul Scherrer Institut, ETH Zurich

Abstract Preview: Title: Addressing Imaging and Biomarker-driven Uncertainty in Machine Learning-based Radiotherapy Outcome Prediction
Alice Bondi, Gregory Buti, Antony Lomax, Thomas Bortfeld, Xinru Chen, Ting Xu, Z...

Monte Carlo Evaluation of Water-Equivalent Materials for Nanowire-Based Oslds in Flash Radiotherapy

Authors: James Chun Lam Chow, Harry E Ruda

Affiliation: University of Toronto, Princess Margaret Cancer Centre

Abstract Preview: Purpose: FLASH radiotherapy (FLASH-RT) with dose rate greater than 40 Gy/s, has demonstrated potential in reducing normal tissue toxicity while maintaining tumor control. However, accurate and reliabl...

Muilt-Instance Learning Model with 2D and 3D Features Representation and Transformer-Based Prediction for FDG PET Tumor Chemoradiation Response of La-NSCLC

Authors: Stephen R. Bowen, Chunyan Duan, Daniel S. Hippe, Qiantuo Liu, Jiajie Wang, Shouyi Wang, Faisal Yaseen, Han Zhou

Affiliation: Tongji University, University of Washington, Department of Radiation Oncology, Fred Hutchinson Cancer Center, University of Washington, Fred Hutchinson Cancer Center, University of Texas at Arlington

Abstract Preview: Purpose: Predicting the effects of the spatial-temporal tumor response to chemoradiation can assist in adjusting radiation dose and support clinical decision-making in radiotherapy. A multi-instance l...

Multi-Center Evaluation of an AI Beam Angle Prediction Model for Liver Treatments Using Pencil Beam Scanning Proton Therapy

Authors: Christopher Ackerman, Chang Chang, Yan-Cheng Huang, Robert Kaderka, Che Lin, Hsin-Chih Lo, Iain MacEwan, Yi-Chin Tu, James Urbanic

Affiliation: University of California San DIego, Taiwan AI Labs, National Taiwan University, California Protons Cancer Therapy Center, University of Miami, Sylvester Comprehensive Cancer Center

Abstract Preview: Purpose: To investigate the performance of an existing AI beam angle prediction model on external patient datasets for liver proton treatments. The AI model was trained on datasets exclusively from on...

Multi-Omics-Based Prognostic Prediction for Locally Advanced Hypopharyngeal Cancer Treated with Postoperative Chemoradiotherapy: A Dual-Center Study

Authors: Sixue Dong, Chaosu Hu, Weigang Hu, Xiaomin Ou, Jiazhou Wang, Zhen Zhang

Affiliation: Fudan University Shanghai Cancer Center

Abstract Preview: Purpose:
This study aimed to predict the PFS of the patients who were diagnosed with hypopharyngeal cancer and received postoperative chemoradiotherapy by using multi-omics which integrating clinic...

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...

Multidimensional Diffusion MRI Based Microstructural Heterogeneity Model on a 5T MR System

Authors: Jiayi Chen, Shaolei Li, Fuhua Yan, Yingli Yang, Jie Zhang

Affiliation: Department of Radiology, Ruijin Hospital, Institute for Medical Imaging Technology, Ruijin Hospital, Department of Radiology, Ruijin Hospital Shanghai Jiaotong University School of Medicine, Shanghai United imaging Healthcare Advanced Technology Research Institute, Department of Radiation Oncology, Ruijin Hospital

Abstract Preview: Purpose: The aim of this exploratory study is to investigate the feasibility of establishing a model to explore tissue component heterogeneity using multidimensional diffusion magnetic resonance imagi...

Multimodal Framework for Predicting Radiation-Induced Severe Acute Esophagitis in Esophageal Cancer

Authors: Yeona Cho, Chloe Min Seo Choi, Joseph O. Deasy, Jue Jiang, Jihun Kim, Jin Sung Kim, Nikhil Mankuzhy, Aneesh Rangnekar, Andreas Rimner, Maria Thor, Harini Veeraraghavan, Abraham Wu

Affiliation: University of Freibrug, Department of Medical Physics, Memorial Sloan Kettering Cancer Center, Department of Radiation Oncology, Yonsei Cancer Center, Heavy Ion Therapy Research Institute, Yonsei University College of Medicine, Department of Radiation Oncology, Gangnam Severance Hospital, Yonsei University College of Medicine, Memorial Sloan Kettering Cancer Center, Yonsei University

Abstract Preview: Purpose: We hypothesized that combining clinical, imaging, and radiotherapy dose-distribution features could increase predictive model accuracy in radiation-induced severe acute esophagitis (SAE) in e...

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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. 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Affiliation: DTC Consultants, NL Health, Dartmouth Hitchcock Medical Center, ProCure Proton Therapy Center, Medical & Radiation Physics, Inc, Augusta University, Genesis Healthcare Partners, Michigan Medicine, Washington DC VA Medical Center, VA Medical Center, Mercy Southeast Hospital, Food And Drug Administration, University of Iowa, Advanced Radiation Physics Service, Inc, University of Pittsburgh, University of Wisconsin, Wellspan Health, Good Samaritan Hospital, Howard University Hospital, St. Mary's Memorial Health Center, Penn State Milton S. 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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...

Navigating Radiotherapy Ethics with Generative AI: Geoffrey Hinton's Warnings Regarding Relying Totally on Insights from AI Models

Authors: James Chun Lam Chow, Kay Li

Affiliation: University of Toronto, Princess Margaret Cancer Centre

Abstract Preview: Purpose: This study explores the caution needed when using Generative AI for assessing radiotherapy ethics, highlighting Geoffrey Hinton’s warnings about the risks of relying solely on AI for ethical ...

Navigating errors and planning tips and tricks – GU / GI

Authors: Gil'ad N. Cohen

Affiliation: NYU Grossman School of Medicine

Abstract Preview: N/A...

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...

Non-Contact Electroacoustic Imaging Monitoring Electroporation Therapy

Authors: Zhongping Chen, Yuchen Song, Leshan Sun, Liangzhong Xiang, Yifei Xu

Affiliation: University of California, Irvine, University of California Irvine

Abstract Preview: Purpose: Electroacoustic tomography (EAT) monitors the distribution of electrical energy in tissues by detecting acoustics signals induced by electrical pulses during irreversible electroporation (IRE...

Novel AI-Powered Tool to Objectively Evaluate Brain Dose for Multi-Met Stereotactic Radiosurgery Optimization

Authors: Wenchao Cao, Yingxuan Chen, Haisong Liu, Richard A. Popple, Wenyin Shi, Rodney J. Sullivan, Wentao Wang, Lydia J. Wilson, Zhenghao Xiao

Affiliation: Thomas Jefferson University, The University of Alabama at Birmingham, University of Alabama at Birmingham

Abstract Preview: Purpose: Objectively evaluating brain sparing as a plan-quality indicator for patients receiving stereotactic radiosurgery (SRS) to multiple metastases (multi-met) is complicated by variability in tar...

Novel Fast Cone-Beam CT for Adaptive Radiotherapy: Assessment of Image Distortion, Auto-Contouring, and Dose Delivery Accuracy in the Presence of Periodic Subject Motion

Authors: David P. Adam, William T. Hrinivich, Taoran Li, Alexander Lu, Michael Salerno, Alejandro Sisniega, Boon-Keng Kevin Teo

Affiliation: Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Johns Hopkins University, University of Pennsylvania

Abstract Preview: Purpose: Cone beam CT (CBCT)-guided online adaptive radiotherapy (ART) is of growing interest, with recent improvements in image quality provided through larger detector panels and fast gantry rotatio...

Objective Verification of Mechanical and Radiation Isocenters Independent of Setup

Authors: Jonathan Dowell, Wei Luo, Shane McCarthy, Janelle A. Molloy, Markus Murphy

Affiliation: University of Kentucky, Department of Radiation Medicine, Iridesce Solutions, Inc.

Abstract Preview: Purpose: The novel machine quality assurance (QA) device nĂŒFilm (Iridesce Solutions, Lexington KY) allows for an objective assessment of light and radiation fields independent of setup. Herein, the ab...

On Designing a Vascular Flow Phantom for Contrast-Enhanced Ultrasound Imaging

Authors: Kevin M Brom, Josep Chorro Bas, RosaAnna Chorro Bas, Andres Climent Rubio, Jaydev K. Dave, Tobias Kummer, Larissa Shiue, Donald J Tradup

Affiliation: Mayo Clinic, Prehospital Critical Care Training Group

Abstract Preview: Purpose: To design and evaluate the functionality of a vascular flow phantom for contrast-enhanced ultrasound imaging (CEUS).

Methods: A microcontroller-generated signal was amplified by a cust...

One Year Experience of Biology-Guided Radiotherapy (BgRT) on PET-Linac in an Academic Center

Authors: Shahed Badiyan, Girish Bal, Thomas I. Banks, Bin Cai, Tu Dan, Aurelie Garant, Andrew R. Godley, Steve Jiang, Orhan Oz, Arnold Pompos, Rameshwar Prasad, Chenyang Shen, David Sher, Robert Timmerman, Kenneth Westover

Affiliation: Department of Radiation Oncology, UT Southwestern Medical Center, University of Texas Southwestern Medical Center, UT Southwestern Medical Center, RefleXion Medical

Abstract Preview: Purpose: Biology-guided radiotherapy (BgRT) is a novel FDA-cleared technology for treating lung and bone tumors based on 18F-FDG PET uptake. This study summarizes the first-year experience treating 29...

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...

Optimizing Minimum Monitor Unit Thresholds for Proton Breast Therapy on the Iba Proteusone

Authors: Chia-Lung Chien, Wen C. Hsi, Faraz Kalantari, Pouya Sabouri, Man Yam

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

Abstract Preview: Purpose:
Reducing treatment delivery time is critical to improving patient throughput and minimizing the risk of intrafraction motion, which can compromise treatment accuracy. This study identifies...

Optimizing Vessel Wall Visualization Using a Novel Black-Blood CT Technique on Craniocervical CT Angiography

Authors: Xiaohu Li, Jianjun Shen, Guozhi Zhang, Sihua Zhong, Jingjie Zhou

Affiliation: United Imaging Healthcare

Abstract Preview: Purpose:
Visualization of carotid artery vessel wall on computed tomography angiography (CTA) imaging is challenging. This study aims to develop a novel post-processing technique, black-blood compu...

Para-Axial Contouring for Gynecological Brachytherapy or External Radiotherapy in Monaco

Authors: M. Victoria Duran, María Fernåndez, Inés Flores, Joaquin Hernandez, Nuria Montero, Rodrigo Plaza, Manuel Ruiz, Francisco San Miguel, Sandra Williamson Puente, Zigor Zalabarria

Affiliation: Hospital Central de la Defensa 'GĂłmez Ulla', Hospital Central de la Defensa "Gomez Ulla", CSVE, Hospital Central de la Defensa 'GĂłmez Ulla', CSVE

Abstract Preview: Purpose:
Contouring guides recommend using para-axial, para-sagittal and para-coronal axis for delimitation of ROIs. These axis are rotated from the standard axis to match the anatomy of the patien...

Patient-Specific Deep Reinforcement Learning Framework for Automatic Replanning in Proton Therapy for Head-and-Neck Cancer

Authors: Malvern Madondo, Mark McDonald, Zhen Tian, Christopher Valdes, Ralph Weichselbaum, Xiaofeng Yang, David Yu, Jun Zhou

Affiliation: Department of Radiation & Cellular Oncology, University of Chicago, University of Chicago, Emory University, Department of Radiology, University of Chicago, Department of Radiation Oncology and Winship Cancer Institute, Emory University

Abstract Preview: Purpose: Head-and-neck (HN) cancer patients often experience significant anatomical changes during treatment course. Proton therapy, particularly intensity-modulated proton therapy (IMPT), is sensitiv...

Patient-Specific Orthogonal Projection Based Real-Time Volumetric X-Ray Imaging for Proton Therapy

Authors: Hao Chen, Kai Ding, Xiaoyu Hu, Xun Jia, Heng Li, Devin Miles

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

Abstract Preview: Purpose: Accurately delivering radiation dose is critical in intensity-modulated proton therapy (IMPT), where intrafraction motion management plays a pivotal role. Our proton therapy system equipped x...

Patient-Specific Treatment Plan Optimization through Intentional Deep Overfit Learning As a Warm Start for Longitudinal Adaptive Radiotherapy

Authors: Wouter Crijns, Frederik Maes, Loes Vandenbroucke, Liesbeth Vandewinckele

Affiliation: Department of Oncology, Laboratory of Experimental Radiotherapy, KU Leuven; Department of Radiation Oncology, UZ Leuven, Department ESAT/PSI, KU Leuven; Medical Imaging Research Center, UZ Leuven, Department of Oncology, Laboratory of Experimental Radiotherapy, KU Leuven

Abstract Preview: Purpose: To explore intentional deep overfit learning (IDOL) to exploit the initial treatment plan to predict an adaptive radiotherapy plan.
Methods: A conditional generative adversarial network is...

Performance Evaluation of CT-Based Lung Tumor Classification Deep Learning Algorithms Under Centralized and Federated Learning Frameworks

Authors: Yifei Hao, Chengliang Jin, Wenxuan Li, Bing Luo, Tao Peng, Yulu Wu, Fang-Fang Yin, Yue Yuan, Lei Zhang, Ruojun Zhou

Affiliation: School of Future Science and Engineering, Soochow University, Electrical and Computer Engineering Graduate Program, Duke Kunshan University, Medical Physics Graduate Program, Duke Kunshan University

Abstract Preview: Purpose: Federated learning is a patient privacy-protecting technique that has recently been applied in the medical field. This study aims to evaluate the performance of several deep learning networks...

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...

Physics-Informed Neural Network for In Vivo Dosimetry during Proton Therapy Using Protoacoustic Tomography

Authors: Kristina Bjegovic, Yong Chen, Gilberto Gonzalez, Yankun Lang, Lei Ren, Leshan Sun, Liangzhong Xiang, Yifei Xu

Affiliation: University of Maryland School of Medicine, University of California, Irvine, University of Oklahoma Health Sciences Center, University of Oklahoma Health Science Center

Abstract Preview: Purpose: Proton therapy is becoming an increasingly popular choice for cancer treatment due to its precision, reduced side effects, and effectiveness. While dosimetry is fundamental to the success of ...

Prior-Model-Free Dynamic CBCT Reconstruction Via Combined Optical Surface and X-Ray Imaging

Authors: Hua-Chieh Shao, Guoping Xu, You Zhang, Tingliang Zhuang

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:
Advancements in onboard X-ray hardware allow high-quality CBCT imaging with a short scan time (~6s for Varian HyperSight), enabling CBCT-based dose calculation and treatment planning. Howe...

Quality Monitoring of Temporal Performance Degradation in Clinical Use of AI Auto-Segmentation

Authors: Ali Ammar, Quan Chen, Jingwei Duan, Yi Rong, Nathan Y. Yu, Libing Zhu

Affiliation: Mayo Clinic Arizona, University of Alabama at Birmingham

Abstract Preview: Purpose: Clinical performance of deep learning-based auto-segmentation (DLAS) can degrade over time due to AI “aging” from unseen data input compared to the initial model training data. This study aim...

Quantification of Iodine and Calcium Materials through HU Spectral Curve Analysis in Dual-Energy CT for Radiotherapy Planning

Authors: Sean L. Berry, Weixing Cai, Laura I. Cervino, Maria F. Chan, Yabo Fu, Puneeth Iyengar, Hsiang-Chi Kuo, Nancy Lee, Tianfang Li, Xiang Li, Jean M. Moran

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

Abstract Preview: Purpose: Iodine maps derived from Dual-Energy CT (DECT) provide critical biological information for radiotherapy treatment planning, but clinical iodine maps often mistakenly include bones due to insu...

Quantifying the Impact of Tissue Inhomogeneities on Calculated Dosimetry within LDR Brachytherapy

Authors: Fatemeh Akbari, Deidre Batchelar, Luc Beaulieu, Nathan E. Becker, Juanita Crook, Dakota Mckeown, Matthew Jonathan Muscat, Rowan M. Thomson

Affiliation: Département de physique, de génie physique et d'optique, Université Laval, BC Cancer Agency, UBC, Carleton University, BC Cancer - Kelowna, BC Cancer

Abstract Preview: Purpose:
To study the effects of inter-seed attenuation and tissue inhomogeneities on dose-volume metrics of critical structures in prostate low-dose-rate (LDR) permanent seed implant brachytherapy...

Quantitative Fluorescence Imaging and Spatial Transcriptomics Reveal Compartment-Specific Immune Dynamics in HPV+ Oropharyngeal Cancer

Authors: Casey C. Heirman, Kyle J. Lafata, Xiang Li, Breylon Riley, Jack B Stevens, Tammara Watts

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

Abstract Preview: Purpose: To leverage quantitative fluorescence imaging and spatial transcriptomics for characterizing the spatial and molecular heterogeneity of the tumor microenvironment (TME) in HPV+ head and neck ...

Radiomics Changes in MR Images of Prostate and Dominant Intra-Prostate Lesions during SBRT on MR-Linac

Authors: David L. Barbee, David Byun, Ting Chen, Paulina E. Galavis, Siming Lu, Sarah Rosemary Morris, Hesheng Wang, Michael J Zelefsky

Affiliation: NYU Langone Health

Abstract Preview: Purpose: MR-Linac enables dose escalation in prostate SBRT on accurately defined dominant intra-prostate lesion (DIL) on daily MR images. This study aims to evaluate inter-fraction changes in the radi...

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 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...

Redefining the Down-Sampling Scheme of U-Net for Precision Biomedical Image Segmentation

Authors: Yizheng Chen, Md Tauhidul Islam, Mingjie Li, Lei Xing

Affiliation: Department of Radiation Oncology, Stanford University

Abstract Preview: Purpose:
Biomedical image segmentation (BIS) is a cornerstone of medical physics, enabling accurate delineation of anatomical structures and abnormalities, which is critical for diagnosis, treatmen...

Repeatability of Quantitative 3D T1ρ Imaging in Head and Neck Cancer

Authors: Sandeep Panwar Jogi, Nancy Lee, Ricardo Otazo, Ramesh Paudyal, Qi Peng, Akash Shah, Amita Shukla-Dave, Can Wu

Affiliation: Department of Radiology, Memorial Sloan Kettering Cancer Center, Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, Department of Medical Physics, Memorial Sloan Kettering Cancer Center, Department of Radiology, Albert Einstein College of Medicine and Montefiore Medical Center

Abstract Preview: Purpose: Quantitative T1ρ imaging provides enhanced tissue characterization beyond standard T1 and T2 parameters, potentially supporting early-stage longitudinal monitoring of head and neck cancer. Th...

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 Jacobian-Based and HU Change-Based CT Ventilation Imaging to Respiratory Amplitude Variations: A Study Using a Custom Phantom with Respiratory Amplitude Control

Authors: Tatsuya Fujisaki, Hiraku Fuse, Shin Miyakawa, Hiroki Nosaka, Masato Takahashi, Kenji Yasue

Affiliation: Ibaraki Prefectural University of Health Sciences

Abstract Preview: Purpose: This study aimed to evaluate the robustness of Jacobian-based and HUchange-based CT ventilation imaging (CTVI) against respiratory amplitude variations using a custom-designed alveolar phanto...

Simulating Realistic Digital Phantoms for Virtual Clinical Trials in Radiology and Radiation Oncology Using a Deep-Learning Based Conditional Denoising Diffusion Probabilistic Model (c-DDPM)

Authors: Matthew Brown, Yushi Chang, Jinhyuk Choi, William Silva Mendes, Lei Ren, Aman Sangal, William Paul Segars, Phuoc Tran, Hualiang Zhong

Affiliation: University of Maryland School of Medicine, Department of Radiation Oncology, University of Maryland School of Medicine, Carl E. Ravin Advanced Imaging Laboratories and Center for Virtual Imaging Trials, Duke University Medical Center, Department of Radiation Oncology, Medical College of Wisconsin

Abstract Preview: Purpose: Digital phantoms like XCAT are essential for imaging and treatment optimization in radiology and radiation oncology. However, the lack of realistic textures (HU distribution) in XCAT limits i...

Sources of Variability in Evaluating Ultrasound Imaging Performance Using Randomly-Distributed Hypoechoic Sphere Phantom

Authors: Cristel Baiu, Zheng Feng Lu, Dufan Wu, Baihui Yu

Affiliation: University of Wisconsin, Massachusetts General Hospital, University of Chicago

Abstract Preview: Purpose: IEC TS 62791:2022 specified a clinically meaningful and quantitative framework for evaluating diagnostic ultrasound performance by measuring the lesion signal-to-noise ratio (LSNR) using rand...

Spatial Dosimetric-Based Prediction of Long-Term Urinary Toxicity after Permanent Prostate Brachytherapy

Authors: Rajeev K. Badkul, Ronald C Chen, Ying Hou, Harold Li, Chaoqiong Ma, Jufri Setianegara

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

Abstract Preview: Purpose:
Postimplant urinary toxicity is common in prostate low-dose-rate (LDR) brachytherapy. We developed a machine learning (ML) model to explore the correlation between spatial dose distributio...

Streamlining Direct-to-Unit Clinical Set-Ups for Radiation Therapy

Authors: Lori Buchholtz, Alison Garda, Chris L. Hallemeier, Kathryn L. Kolsky, Han Liu, Joseph John Lucido, Marisa Schinter, Andrew J. Veres, Sara Walerak

Affiliation: Mayo Clinic

Abstract Preview: Purpose: The C_START initiative aims to streamline and simplify the Direct-to-Unit (DtU) clinical setup and treatment planning process for photon radiation therapy, particularly for emergent cases suc...

Streamlining Hippocampal-Sparing Whole-Brain VMAT Planning: Enhancing Efficiency and Plan Quality with an Automated Workflow

Authors: Eric C. Ford, Yulun He, Minsun Kim, Dustin Melancon, Juergen Meyer, Dong Joo Rhee, Yinghua Tao

Affiliation: Department of Radiation Oncology, Fred Hutchinson Cancer Center, University of Washington, MD Anderson Cancer Center, University of Washington

Abstract Preview: Purpose: To develop and evaluate an automated-planning technique capable of generating high-quality treatment plans for hippocampal-sparing-whole-brain radiation therapy.
Methods: An auto-planning ...

Teaching an Old Dog New Tricks: Unlocking Hidden Potential in Existing Frameworks for Versatile Radiotherapy Applications

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:
This work demonstrates how existing software, when creatively adapted, can address a wide range of clinical challenges. By focusing on data exploration and application-specific modificatio...

Text-Conditioned Latent Diffusion Model for Synthesis of Contrast-Enhanced CT from Non-Contrast CT

Authors: Yizheng Chen, Michael Gensheimer, Mingjie Li, Lei Xing

Affiliation: Department of Radiation Oncology, Stanford University

Abstract Preview: Purpose: Automatically translating non-contrast to contrast-enhanced computed tomography (CT) images is critical for improving clinical workflow, reducing heathcare cost, minimizing radiation exposure...

The CT Calibration for Proton Pencil Beams System

Authors: Xiangli Cui, Wanli Huo, Jie Li, Lingling Liu, Tao Ma, Yuanyuan Wang

Affiliation: Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, Hefei Ion Medical Center, Hefei Cancer Hospital, Chinese Academy of Sciences, the Zhejiang-New Zealand Joint Vision-Based Intelligent Metrology Laboratory, College of Information Engineering, China Jiliang University

Abstract Preview: Purpose: In practice, treatment planning systems (TPS) of proton therapy require a CT calibration curve, which relates Hounsfield units (HU) to relative stopping power (RSP). Single-energy CT as a sta...

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...

The Role of 3D Vane MRI in Accurate Phase Matching with 4D-CT for Motion Representation in Liver Cancer Radiotherapy

Authors: Jiayun Chen, Shengqi Chen, Junchao Li, Fei Liu, Jianan Wu

Affiliation: Cancer Hospital Chinese Academy of Medical Sciences, Shenzhen Center, Tongji Medical College, Huazhong University of Science & Technology, School of Electronic Engineering, Beijing University of Posts and Telecommunications, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College

Abstract Preview: Purpose: To assess if 3D Vane MRI can accurately depict the motion of the target volume and OARs.
Methods: This retrospective study included 54 liver cancer patients who underwent both 3D Vane MRI ...

Through in-House Software and Customized Phantom to Perform and Analyze Daily Quality Assurance of Proton Treatment System More Efficiently and Monitor the Stability of Its Performance

Authors: Liang-Hsin Chen, Li-Chien Wei

Affiliation: National Taiwan University Cancer Center

Abstract Preview: Purpose: For proton therapy treatment, it is essential to ensure that the treatments are delivered safely and accurately. Quality assurance (QA) programs of proton treatment system is needed and proto...

Time and Energy-Encoded CT Reconstruction

Authors: Shusen Jing, Qihui Lyu, Dan Ruan, Ke Sheng, Qifan Xu

Affiliation: Department of Radiation Oncology, University of California, Los Angeles, University of California San Francisco, Department of Radiation Oncology, University of California, San Francisco

Abstract Preview: Purpose: Conventional computed tomography (CT) measures the collective attenuation of primary photon fluence and then reconstructs the 3D images without using the timing information of individual phot...

Time-Efficient Photon Plan Checks with Esapi-Based Software

Authors: Kevin Peter Risolo

Affiliation: University of Pennsylvania

Abstract Preview: Purpose: To quantify the improved efficiency of checking patient treatment plan MU by utilizing RadFormation’s ClearCalc script-based program.
Methods: A total of 58 patients planned for treatment ...

Towards Higher Quality Breast Radiotherapy Treatments: A First Evaluation of the Newly Introduced Inframammary Fold Breast Wedgeℱ Device from Qlrad

Authors: Thomas Furno, Arjen Winkel, Ramtin Zakikhani

Affiliation: Genesis Care USA, QLRAD, SMH

Abstract Preview: Purpose: To quantify the dosimetric impact of the newly introduced “Inframammary Fold (IMF) Breast WedgeTM ” device by QLRAD inc. in the region of the inframammary fold during breast radiotherapy.
...

Treatment Planning System Modelling of a New Commercial Rotational Table

Authors: Michael Armstrong, Courtney R. Buckey, Quan Chen, Suzanne J. Chungbin, Mirek Fatyga, Yi Rong, Jun Tan, Xiang Sheng Yan

Affiliation: Mayo Clinic Arizona, Mayo Clinic

Abstract Preview: Purpose: To model a commercial rotational table in treatment planning system (TPS) for accurate dose optimization and calculation.

Methods: A commercial rotational table (CDR EquilibriumÂź) is r...

Two-Stage Clustering and Auto Machine Learning to Predict Chemoradiation Response in Tumor Subregions on FDG PET for La-NSCLC

Authors: Stephen R. Bowen, Shijun Chen, Chunyan Duan, Daniel S. Hippe, Qiantuo Liu, Qianqian Tong, Jiajie Wang, Shouyi Wang, Faisal Yaseen

Affiliation: The University of Texas at Austin, Tongji University, University of Washington, Department of Radiation Oncology, Fred Hutchinson Cancer Center, University of Washington, Fred Hutchinson Cancer Center, University of Texas at Arlington

Abstract Preview: Purpose: Tumor subregion clustering and prediction of region-specific response can augment assessments and adaptive treatment decisions. A modeling framework was constructed to predict chemoradiation ...

Ultrafast Proton Delivery with Pin Ridge Filters (pRFs): A Novel Approach for Motion Management in Proton Therapy

Authors: Zachary Diamond, Pretesh Patel, Sibo Tian, Yinan Wang, Xiaofeng Yang, David Yu, Ahmal Jawad Zafar, Jun Zhou

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

Abstract Preview: Purpose: Active breath-hold techniques effectively mitigate respiratory motion but poses challenges for patients who are unable to tolerate the procedure. Conventional planning relies on multiple ener...

Uncertainty Analysis of Hyperarc VMAT Plans for Stereotactic Radiosurgery Patients with Multiple Brain Metastases

Authors: Shifeng Chen, Yannick P. Poirier, Huijun Xu, Byong Yong Yi, Baoshe Zhang, Hong Zhang, Jinghao Zhou

Affiliation: University of Maryland School of Medicine, University of Maryland Shore Regional Cancer Center, Vanderbilt University Medical Center, Department of Radiation Oncology, University of Maryland School of Medicine, Capital Region Medical Center

Abstract Preview: Purpose: To thoroughly assess the resilience of HyperArc VMAT plans for multiple brain metastases (MBT) in relation to (i) high-definition MLC leaf positional inaccuracies and (ii) patient rotational ...

Uncertainty-Guided Cross-Domain Adaptation for Unsupervised Medical Image Segmentation

Authors: Yunxiang Li, Weiguo Lu, Xiaoxue Qian, Hua-Chieh Shao, You Zhang

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

Abstract Preview: Purpose:
Curating high-quality, labeled data for medical image segmentation can be challenging and costly, considering the existence of various image domains with differing modalities/protocols. Cr...

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...

Universal Anatomical Mapping and Patient-Specific Prior Implicit Neural Representation for MRI Super-Resolution

Authors: Jie Deng, Yunxiang Li, You Zhang

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

Abstract Preview: Purpose: Magnetic Resonance Imaging (MRI) has exceptional soft tissue contrast and an essential role in radiotherapy. The introduction of clinical MR-LINACs has enabled adaptive radiotherapy (ART) usi...

Universal MR-to-Synthetic CT: A Streamlined Framework for MR-Only Radiotherapy 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:
Converting MR images to synthetic CT (MR2sCT) is highly desirable as it streamlines the radiotherapy treatment planning workflow. This approach leverages the superior soft tissue visibilit...

Unsupervised Task-Specific Histology Image Stain Standardization and Crypt Detection for Evaluating Normal Tissue Flash Irradiation Response

Authors: Muhammad Ramish Ashraf, Kerriann Casey, Suparna Dutt, Jie Fu, Edward Elliot Graves, Xuejun Gu, Hao Jiang, Brianna Caroline Lau, Billy W Loo, Weiguo Lu, Rakesh Manjappa, Stavros Melemenidis, Erinn Bruno Rankin, Lawrie Skinner, Luis Armando Soto, Murat Surucu, Vignesh Viswanathan, Zi Yang, Amy Shu-Jung Yu

Affiliation: Department of Radiation Oncology, University of Washington and Fred Hutchinson Cancer Center, 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, Department of Comparative Medicine, Stanford University School of Medicine, Department of Radiation Oncology, Stanford University Cancer Center

Abstract Preview: Purpose: The intestine is a classical preclinical model for studying radiation injury, and histological quantification of intestinal crypts is a key assay for assessing this response. However, substan...

Using Contrast-Enhanced Computed Tomography for Non-Invasive Lung Shunt Fraction Prediction in Yttrium-90 Radioembolization

Authors: Roger Eric Goldman, Adrianna Imani Johnson Carter, Talia Marx, Brahim Mehadji, Emilie Roncali, Catherine T. Vu

Affiliation: UC Davis, Department of Radiology, UC Davis Health

Abstract Preview: Purpose:
Accurate estimation of the Lung Shunt Fraction (LSF) is critical for yttrium-90 (90Y) radioembolization treatment planning to minimize risks of excessive lung irradiation due to arterio-ve...

Using Single-Energy Bragg Peak (SEBP) Flash Combined with Intensity-Modulated Proton Therapy (IMPT) for Flash Treatment in a Clinical Synchrotron-Based Proton System

Authors: Chingyun Cheng, Ben Durkee, Carri K. Glide-Hurst, Minglei Kang, Haibo Lin, Bhudatt R. Paliwal, Charles B. Simone, Zhizhen Wei, Tengda Zhang, Xingyi Zhao

Affiliation: University of Wisconsin, Department of Mechanical Engineering, University of Wisconsin-Madison, Departments of Human Oncology and Medical Physics, University of Wisconsin-Madison, New York Proton Center, Department of Human Oncology, University of Wisconsin School of Medicine and Public Health, Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Department of Human Oncology, University of Wisconsin-Madison

Abstract Preview: Purpose: Transmission Beam (TB), Single-Energy Bragg Peak (SEBP), and Single-Energy Spread-Out Bragg Peak (SESOBP) are primary proton conformal FLASH techniques. However, each comes with significant l...

Validation of 3D Pseudo-Dose Map Reconstructed from Multi-View Cherenkov Images in Total Skin Electron Therapy

Authors: Brook Byrd, Lisha Chen, Michael LaRiviere, Baozhu Lu, John Plastaras, Brian W Pogue, Emily Xiong, Timothy C. Zhu, Yifeng Zhu

Affiliation: Department of Radiation Oncology, University of Pennsylvania, University of Pennsylvania, University of Wisconsin - Madison

Abstract Preview: Purpose: For total skin electron therapy (TSET), achieving optimal dose distribution depends on precise patient positioning, which is often influenced by daily variability. Cherenkov imaging offers a ...