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Results for "output mas": 121 found

6FFF Beam Output Trend Showing Target Degradation

Authors: Sean L. Berry, Hsiang-Chi Kuo, Seng Boh Gary Lim, Ingrid Valencia Lozano, Laszlo Voros

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

Abstract Preview: Purpose:
To quantify the impact of target degradation on 6FFF beam output by analyzing the output trends and adjustment frequencies at our clinic on a flattening filter-free (6FFF) and a flattened ...

A Bayesian Model for the Detection of Local Ventilation Changes in Lung Cancer Patients

Authors: Bas W. Raaymakers, Mario Ries, Paris Tzitzimpasis, Cornel Zachiu

Affiliation: Department of Radiotherapy, University Medical Center Utrecht, University Medical Center Utrecht, UMC Utrecht

Abstract Preview: Purpose: Radiation pneumonitis affects approximately 10-30% of lung cancer patients treated with radiation therapy (RT), posing a significant dose-limiting factor. Recently developed CT-ventilation me...

A Bibliometric Analysis on Medical Physics Research Trends in India

Authors: Sreejesh MS, Subramani Vellaiyan

Affiliation: Kuwait Cancer Control Center, All India Institute of Medical Sciences

Abstract Preview: Purpose: Bibliometric analysis is a powerful statistical tool for evaluating scientific literature and identifying research trends through the quantitative assessment of scholarly output. This study a...

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

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

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

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

A Dosimeter Independent Method for Measuring Dose from Contrast Enhanced Mammography Exposure.

Authors: Mitya M. Barreto, Nichole A. Harris

Affiliation: Department of Radiology, University Hospitals Cleveland Medical Center

Abstract Preview: Purpose: To evaluate dosimeter dependence of measured AGD, and to develop a dosimeter independent method for evaluating the AGD, for CEDM exposures.
Methods: Three solid-state dosimeters (Raysafe-X...

A Multi-Agent Approach for Fully Automated Nephrometry Feature Extraction in CT

Authors: Matthew S Brown, Joshua Genender, John M. Hoffman, Gabriel Melendez-Corres, Muhammad W. Wahi-Anwar

Affiliation: David Geffen School of Medicine at UCLA, UCLA Department of Radiology

Abstract Preview: Purpose: Renal lesions are evaluated using scoring systems based on visual assessments and manual measurements. The purpose of this work is to develop a multi-agent system for automated anatomic landm...

A Multi-Criteria Optimization Method Based on Reinforcement Learning and Adaptive Boosting in Radiation Therapy

Authors: Liqin HU, Tao He, Jing JIA, Pengcheng LONG, Wei Meng, Yang Yuan

Affiliation: SuperAccuracy Science & Technology Co. Ltd.

Abstract Preview: Purpose: A multi-criteria optimization method based on reinforcement learning and adaptive boosting(RLAB MCO) has been developed to enhance radiotherapy plan quality by offering reasonable and effecti...

A Novel Approach to Preclinical Intensity-Modulated Radiotherapy Using an Open-Source Ring-Based Compensator Device and Inverse Treatment Planning System

Authors: Benjamin R. Awad, Bulent Aydogan, Howard J Halpern, Erik Pearson, Gage H. Redler, Jordan M. Slagowski, Rajit Tummala, Autumn E. Walter-Denzin, Jimmy Zydlo

Affiliation: University of Wisconsin-Madison Department of Human Oncology, University of Oxford, The University of Chicago, Moffitt Cancer Center, California State University, Fresno, Department of Human Oncology, University of Wisconsin-Madison

Abstract Preview: Purpose: Small animal models are crucial in cancer research to develop, validate, and translate basic scientific hypotheses into clinical advancements. This study aims to make small animal intensity-m...

A Novel Margin-Based Focal Distance Loss for Lesion Segmentation in Medical Imaging

Authors: Weiguo Lu, Hua-Chieh Shao, Guoping Xu, 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:
Neural network-based lesion segmentation remains a significant challenge due to the low contrast between lesions and surrounding tissues (high ambiguity) and the variability of lesion shap...

A Python Package for GPU-Accelerated Photon Dose Calculation for Advanced and Generalizable Auto-Planning Approaches: Validation for Multiple Linear Accelerator Vendors and Institutions

Authors: Jaryd Ricardo Christie, Anthony J. Doemer, William T. Hrinivich, Junghoon Lee, Calin Reamy, Kundan S Thind

Affiliation: Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Johns Hopkins University, Henry Ford Health

Abstract Preview: Purpose: To develop and validate an open-source Python package for fast, widely compatible, and user-friendly photon dose calculation algorithm through comparisons with clinical treatment planning sys...

A Risk Assessment Approach to Photon Reference Dosimetry Using TG-100 Methodology

Authors: Ila Farhang, Ryan D. Foster, Devin Heitz, Jordan B Lunsford, Ashkan Shafiee

Affiliation: Atrium Health Wake Forest Baptist, Atrium Health/LCI Cabarrus

Abstract Preview: Purpose: American Association of Physicists in Medicine (AAPM) Task Group (TG) -51 is a widely utilized protocol for the absolute calibration of linear accelerators. The purpose of this project was fo...

A SAM-Guided and Match-Based Semi-Supervised Segmentation Framework for Medical Imaging

Authors: Weiguo Lu, Jax Luo, Xiaoxue Qian, Hua-Chieh Shao, Guoping Xu, 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, Harvard Medical School

Abstract Preview: Purpose:
Semi-supervised segmentation leverages sparse annotation information to learn rich representations from combined labeled and label-less data for segmentation tasks. This study leverages th...

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 Vqvae-Based Framework with Embedded Kullback-Leibler Divergence for Stochastic and Diverse Dose Prediction

Authors: Weigang Hu

Affiliation: Fudan University Shanghai Cancer Center

Abstract Preview: Purpose: The purpose of this study is to introduce a VQVAE-based framework that addresses the limitations of conventional dose prediction methods, which rely on fixed deep learning models that produce...

AI-Powered Real-Time x-Ray Guided Tracking to Improve Stereotactic Arrythmia Radioablation: Proof of Principle

Authors: Vicky Chin, Mark Gardner, Nicholas Hindley, Paul J. Keall, Adam Mylonas

Affiliation: Image X Institute, Faculty of Medicine and Health, The University of Sydney

Abstract Preview: Purpose: Stereotactic Arrhythmia Radioablation (STAR) is a non-invasive method to treat cardiac arrhythmias by targeting aberrant electrical conduction regions in the heart. Targeting is challenging g...

An Assessment of the Potential Impact of the Elekta Unity’s 1.5T Magnetic Field upon the Performance of a Conventional Linac Installed in an Adjacent Vault: A Case Study

Authors: Matthew Stephen Andriotty, Taoran Cui, Josh Kilian-Meneghin, Ke Nie, Xiao Wang, Zhenyu Xiong, Ning J. Yue, Yin Zhang

Affiliation: Rutgers Cancer Institute of New Jersey, RWJBarnabas Health

Abstract Preview: Purpose: To investigate the potential impact of the Elekta Unity’s 1.5T magnetic field upon the performance of a conventional linac installed in an adjacent vault.
Methods: The linac vaults for thi...

An Explainable Classifier for Enhancing the Quality Assurance of Digital Breast Tomosynthesis Phantom Images

Authors: Hui-Shan Jian, Yu-Ying Lin

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

Abstract Preview: Purpose: The image quality assurance of mammographic images is crucial for correct diagnosis. To develop and validate an explainable deep-learning classifier for phantom image quality assessment of di...

An Integrated, Web-Based Tool for Automated Treatment Time Calculations, Data Visualization, and Documentation for Superficial Radiotherapy Using an SRT-100 Vision

Authors: Stephen D. Davis, Alonso N. Gutierrez, Noah S. Kalman, Yongsook C. Lee, Michael Leyva, Alejandro Rene Llanes Lopez, Carlos M. Rivera, Ranjini P. Tolakanahalli

Affiliation: Miami Cancer Institute, Baptist Health South Florida, Miami Cancer Institute, Miami Cancer Institute, Baptist Health

Abstract Preview: Purpose: Accurate treatment time calculation is a critical component of superficial radiotherapy (SRT), particularly for the SRT-100 Vision, where dose delivery depends on applicator geometry, treatme...

An International Multi-Institutional Espresso Study of Developing the Specialized-Equipment-Free Remote Audit for Single-Isocenter Multi-Target Stereotactic Radiosurgery

Authors: Juan-Francisco Calvo-Ortega, Andrew Cousins, Ashley Cullen, Andrew Dipulia, Peter B. Greer, Seng Boh Gary Lim, Shih-Chi Lin, D. Michael Lovelock, Conor McGarry, Victoria Robinson, Cameron Stanton, Baozhou Sun, Ching-Ling Teng, Gemma Warner, Benjamin J. Zwan

Affiliation: Northern Ireland Cancer Centre, Baylor College of Medicine, Department of Medical Physics, Memorial Sloan Kettering Cancer Center, Christchurch Hospital, Northwell, Central Coast Cancer Centre, Calvary Mater Hospital, Hospital Quironsalud Barcelona, Icahn School of Medicine at Mount Sinai, Chris O'Brien Lifehouse, University of Newcastle

Abstract Preview: Purpose: This multi-institution Electronic Silicon-based Remote Survey of Small-field Output (ESPRESSO) study aims to develop the remote audit process to evaluate the safety of single-isocenter multi-...

Applicability of Online Dose Measurement in Trilogy Linear Accelerators: Using Target Current Pulse Counting Method

Authors: Daming LI, Jinsen Xie, Zhe Zhang

Affiliation: Peking University Shenzhen Hospital Radiotherapy Department, School of Nuclear Science and Technology, University of South China

Abstract Preview: Purpose:
This study aims to investigate the feasibility of online dose measurement of the Trilogy linear accelerator output based on target current pulse signals.
Methods:
A data acquisition ...

Application of a Flashdiamond Detector Coupled to a Beam Current Transformer to Commission a Monte Carlo Model of a Ultra-High Dose Rate Electron Beam

Authors: Javier Chiasson, Dominique Guillet, Arthur Lalonde, Karim Zerouali

Affiliation: Universite de Montreal, Centre Hospitalier de l'Universite de Montreal

Abstract Preview: Purpose:
To validate a Monte Carlo (MC) model of a Ultra-High dose rate (UHDR) electron beam using a prototype flashdiamond (fD) detector coupled to an electrostatically shielded beam current trans...

Automated Diagnosis of Pancreatic Cancer Using Both Radiomics and 3D-Convolutional Neural Network

Authors: Beth Bradshaw Ghavidel, Benyamin Khajetash, Yang Lei, Meysam Tavakoli

Affiliation: Icahn School of Medicine at Mount Sinai, Department of Medical Physics, School of Medicine, Iran University of Medical Sciences, Emory University, Department of Radiation Oncology, Emory University

Abstract Preview: Purpose: Pancreatic cancer is among the most aggressive types of cancer, with a five-year survival rate of approximately 10%. Recent studies show that radiomics and deep learning (DL)-based methods ar...

Automatic 4D Lung PET-CT Segmentation Using Hybrid Deep Neural Network

Authors: Hongyi Jiang, Fang-Fang Yin

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

Abstract Preview: Purpose:
Imaging moving tissues using PET-CT can be difficult. Separating signal into phases during construction reduces signal count and increases influence of noise. Algorithms that use signal fr...

BEST IN PHYSICS IMAGING: Dosimetric Impact of Iodinated Contrast Agent on Fibroglandular Tissue in Contrast-Enhanced Digital Mammography

Authors: Hannah Grover, Andrew J. Sampson

Affiliation: Oregon Health & Science University, UT Health San Antonio

Abstract Preview: Purpose: The goal of this work was to quantify the dosimetric impact of iodinated contrast on fibroglandular breast tissue to better inform clinical risk and benefit assessments when determining the m...

Bgrt Patient Eligibility Check Via Comparing User Defined Ring Around the Biologically Tracking Zone (BTZ) in PET Images

Authors: Resat Aydin, Brett Lewis, Jayesh Mistry, Roland Teboh

Affiliation: HUMC, Hackensack University Medical Center

Abstract Preview: Purpose:
We developed a Python-based solution to systematically quantify and detect fluorodeoxyglucose (FDG) uptake beyond a predefined Biologically Tracking Zone (BTZ) in PET images. This method i...

Brain Tumor Segmentation from Multi-Parametric MRI with Integrated Evidential Uncertainty Estimation

Authors: Sahaja Acharya, Matthew Ladra, Junghoon Lee, Lina Mekki

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

Abstract Preview: Purpose: Multi-parametric MRI (mpMRI) is widely used for deep learning (DL)-based automatic segmentation of brain tumors. While multi-contrast images concatenated as channels are typically input to ne...

Characterization and Validation of Cerenkov Radiation Extraction Methods from a Plastic Scintillation Detector in 0.35T MR-Linac Environments

Authors: Mateb Ali Alghamwa, Haya Aljuaid, Siyong Kim, Tianjun Ma, William Song

Affiliation: Virginia Commonwealth University

Abstract Preview: Purpose: The integration of Plastic Scintillation Detectors (PSDs) into 0.35T MR-Linac systems represents a significant advancement in radiotherapy, offering substantial benefits due to their tissue-e...

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

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

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

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

Characterizing Image Quality and Radiation Dose in Fluoroscopy Systems

Authors: Kainoa Calistro-Allen, Brendon J. Villegas

Affiliation: University of Alabama Birmingham

Abstract Preview: Purpose:
To compare differences in radiation output and image quality in clinical esophagrams across fluoroscope vendors in use at University of Alabama Birmingham, prompted by reports that a newly...

Cherenkov Image Denoising with Diffusion-Based Deep-Learning for High-Fidelity Video Display of EBRT

Authors: Petr Bruza, Jeremy Eric Hallett, Brian W Pogue, Yucheng Tang, Shiru Wang

Affiliation: NVIDIA Corp, Dartmouth College, Thayer School of Engineering, Dartmouth College, University of Wisconsin-Madison, University of Wisconsin - Madison

Abstract Preview: Purpose: Cherenkov imaging allows for real-time visualization of megavoltage X-ray or electron beam delivery during radiation therapy. By using a time-gated intensified CMOS camera synchronized with a...

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...

Commissioning a Fixed Beamline Ultra-High Dose Rate Proton Therapy System

Authors: Ahmet S. Ayan, Austin M. Faught, Eunsin Lee, Julia Pakela

Affiliation: Department of Radiation Oncology, The Ohio State University Wexner Medical Center, Ohio State University, The Ohio State University

Abstract Preview: Purpose: To present commissioning of a fixed beamline ultra-high dose rate proton pencil beam scanning system, the world’s first multi-room Varian ProBeam360⁰
Methods: The fixed beamline pencil bea...

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...

Commissioning of Elekta Leipzig and Valencia Skin Applicators

Authors: Hamid Aghdam, DJ Chen, Heather Chen, Sharad Goyal, Yonas Solomon Mekuria, Martin Ojong-Ntui, Yuan James Rao

Affiliation: The George Washington University, The George Washington University Cancer Center

Abstract Preview: Purpose: Elekta Leipzig and Valencia Skin applicators are designed to treat skin lesions. The applicators limit the irradiation to the required treatment area using a densimet shielding. Valencia uses...

Compact Representation of External Beam Photon Phase Space Data Via Implicit Neural Representation Learning

Authors: Serdar Charyyev, Cynthia Fu-Yu Chuang, Veng Jean Heng, Lianli Liu, Lei Xing, Yong Yang

Affiliation: Department of Radiation Oncology, Stanford University

Abstract Preview: Purpose: To replace large finite-size photon phase space files with a compact neural network capable of generating an infinite number of particles.
Methods: Three separate models were developed to ...

Construction and Application Study of a Deep Learning-Based Iscout-Guided Precision Radiotherapy Positioning Error Prediction Model for Breast Cancer

Authors: Fangfen Dong, Jiaming Li, Xiaobo Li, Weipei Wang, Zhixin Wang, Bing Wu, Benhua Xu, Yong Yang, Yifa Zhao

Affiliation: Department of Radiation Oncology, Fujian Medical University Union Hospital/Fujian Key Laboratory of Intelligent Imaging and Precision Radiotherapy for Tumors/Clinical Research Center for Radiology and Radiotherapy of Fujian Province (Digestive, Hematologi, Zhangpu County Hospital, School of Medical Imaging, Fujian Medical University

Abstract Preview: Purpose: To explore the construction and clinical application value of a deep learning-based positioning error prediction model, providing a reference for optimizing iSCOUT system-guided precision rad...

Continuous Professional Development for Medical Physicists on AI Principles from the User's Perspective.

Authors: Mauro Carrara, Olivera Ciraj Bjelac, John E. Damilakis, Andre L. Dekker, Serafina Di Gioia, Renato Padovani, Egor Titovich, Qingrong Jackie Wu

Affiliation: University of Crete, Duke University Medical Center, Maastro Clinic, Dosimetry and Medical Radiation Physics Section, Division of Human Health, International Atomic Energy Agency, International Centre for Theoretical Physics

Abstract Preview: Purpose: The purpose of this work is to present the International Atomic Energy Agency (IAEA) activity in providing medical physicists (MPs) with knowledge, skills, and competencies to support the saf...

Correcting for Lung Ventilation in Model-Based CT

Authors: Ryan Andosca, Igor Barjaktarevic, Peter Boyle, Jie Deng, Minji Victoria Kim, Michael Vincent Lauria, Daniel A. Low, Claudia R. Miller, Drew Moghanaki, Louise Naumann, Jack Neylon, Dylan P. O'Connell, Ricky R Savjani

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

Abstract Preview: Purpose: To develop a Hounsfield Unit ventilation-based correction method for use with model-based CT when used as a replacement for 4DCT.
Methods: The model-based CT we employ is termed 5DCT, whic...

Cycle-Consistent Multi-Task Automated Segmentation and Synthetic CT Generation Model for Adaptive Proton Therapy

Authors: Derek Tang, Susu Yan

Affiliation: Massachusetts General Hospital

Abstract Preview: Purpose: To evaluate the performance of a multi-task automated-segmentation and synthetic CT generation model (sCT) and investigate its application in an adaptive proton therapy workflow.
Methods: ...

Deep Learning Aided Oropharyngeal Cancer Autoplanning

Authors: Mark Bowers, Gabriel Carrizo, Jimmy Caudell, Vladimir Feygelman, Kevin Greco, Christian Hahn, Jihye Koo, Kujtim Latifi, Fredrik Lofman, Jacopo Parvizi, Muqeem Qayyum, Caleb Sawyer

Affiliation: RaySearch Laboratories, Moffitt Cancer Center

Abstract Preview: Purpose: Head and neck (H&N) radiotherapy planning is complex, with multiple competing objectives. We endeavored to improve efficiency of planning by developing a deep learning (DL) model trained to p...

Deep Learning-Based Multileaf Collimator Sequence Prediction for Automated VMAT Treatment Planning in Pancreatic Cancer

Authors: Zixu Guan, Takahiro Iwai, Takashi Mizowaki, Mitsuhiro Nakamura, Michio Yoshimura

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

Abstract Preview: Purpose:
The goal of this study is to develop a fully automated treatment planning approach for VMAT in pancreatic cancer that can convert patient anatomy into LINAC machine parameters. In this wor...

Design and Testing of an External Control System for Beam Control and Pre-Delivery Optimization for Conventional- and Ultra-High-Dose-per-Pulse Flash Irradiations

Authors: Alexander Baikalov, Luke Connell, Nicholas Coupey, Nolan M. Esplen, Rebecca Lim, Chinh Nguyen, Emil Schueler

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

Abstract Preview: Purpose: FLASH radiotherapy delivered using electron linear accelerators (LINAC) requires precise control and minimal variation of dose rate and We developed a robust external beam control system (EBC...

Development and Validation of Novel Two-Stage Vascular Segmentation Model for Interventional Angiography

Authors: Abid Khan, Chad Klochko, Michael J Kovalchick, Hyeok Jun Lee, Hani Nasr, Krishnan Shyamkumar, Kundan S Thind

Affiliation: Henry Ford Radiology, Wayne State University, Henry Ford Health, HFHS

Abstract Preview: Purpose: Automated vascular segmentation in interventional angiography is challenged by contrast kinetics, vessel variations, and 2D projections, limiting the effectiveness of single-model approaches....

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

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

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

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

Development of Foundation Model for Analysis of Prostate Cancer with Mpmri

Authors: Ahmad Algohary, Adrian Breto, Quadre Emery, Radka Stoyanova

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

Abstract Preview: Purpose:
To develop a foundation model (U-Found) for multiparametric MRI (mpMRI) of the prostate by using self-supervised learning to prove the feasibility of a prostate-oriented foundation model u...

Development of a Computational Immunohistochemical Stained Tissue Analysis of Intracellular Flash Induced Radiochemical Oxygen Depletion

Authors: Najah Curtis, Michele M. Kim, Cameron Koch, Ioannis I Verginadis, Rodney D. Wiersma, Jennifer Wei Zou

Affiliation: Department of Radiation Oncology, University of Pennsylvania, University of Pennsylvania, UCLA

Abstract Preview: Purpose: FLASH has been shown to have increased normal tissue sparing compared to standard dose rate radiation and, separately, has been shown to rapidly consume oxygen intercellularly in vivo through...

Development of a Knowledge-Based Planning Model for Optimal Trade-Off Guidance in Locally Advanced Non-Small Cell Lung Cancer

Authors: Ming Chao, Hao Guo, Tenzin Kunkyab, Yang Lei, Tian Liu, Kenneth Rosenzweig, Robert Samstein, James Tam, Junyi Xia, Jiahan Zhang

Affiliation: Icahn School of Medicine at Mount Sinai

Abstract Preview: Purpose:
The aim of the study is to develop a trade-off prediction model to efficiently guide the treatment planning process for patients with stage III non-small cell lung cancer (NSCLC).
Metho...

Directional Dependence of Detectors for Beam Profiles and Output Factors in Small Field Dosimetry

Authors: Indra J. Das, Ahtesham Ullah Khan, Andrew J. White

Affiliation: Department of Medical Physics, School of Medicine and Public Health, University of Wisconsin - Madison, Northwestern Memorial Hospital, Northwestern University Feinberg School of Medicine

Abstract Preview: Purpose: Small field dosimetry presents challenges due to lateral disequilibrium and the selection of suitable detectors. Volume averaging and density corrections hamper accurate profile measurements....

Dosimetric Characterization of Spatial Fractionation Collimator for Ultra-High Dose Rate Electron Beam

Authors: Lily Jo Bertemes, Careesa Billante, Ashley Cetnar, Arnab Chakravarti, Nilendu Gupta, Sagarika Jain, Maximilian Stephen Meineke, Allison N. Palmiero, Runhe Tan

Affiliation: The Ohio State University - James Cancer Hospital, Department of Radiation Oncology, The Ohio State University Wexner Medical Center, Department of Radiation Oncology, Ohio State University Comprehensive Cancer Center, The Ohio State University, The James Cancer Center

Abstract Preview: Purpose: Ultra-High Dose Rate Radiation Therapy (UHDR-RT) induces normal tissue sparing while maintaining iso-effective tumor control compared to conventional methods, known as the “FLASH effect”. How...

Dosimetric Uncertainties Associated with Photon Small Field Dosimetry

Authors: Kazi Towmim Afrin, Imad M. Ali, Jordan West

Affiliation: University of Oklahoma Health Sciences Center, University of Oklahoma

Abstract Preview: Purpose: To evaluate quantitatively the dosimetric uncertainties associated with dose calculation and measurement of small photon fields used in stereotactic photon therapy.
Methods: The output fac...

EBT4 Film Dosimetry and the Significance of the Œ Fwhm Rule for Gamma Knife Output Factors

Authors: Jingying Lin, Stevan Pecic, Strahinja Stojadinovic

Affiliation: University of Belgrade, The University of Texas Southwestern Medical Center

Abstract Preview: Purpose: This study aims to determine the magnitude of polarization-induced dosimetric error for EBT4 films at different scanning orientations, and to provide guidance on selecting appropriate regions...

Enhanced 3D Volumetric Denoising for Low-Dose CT Images Using Hformer

Authors: Edward Robert Criscuolo, Chenlu Qin, Deshan Yang, Zhendong Zhang

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

Abstract Preview: Purpose:
Low-dose CT (LDCT) imaging minimizes radiation exposure but introduces significant noise, compromising image quality. While deep learning-based denoising models such as HFormer achieve sta...

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...

Establishing a Conventional Linac-Based Electron Flash Beam

Authors: Christopher Bartee, Justin Riley DeFrancisco, Marcos Feijoo, Siyong Kim, Tianjun Ma

Affiliation: Blue Physics LLC, Virginia Commonwealth University

Abstract Preview: Purpose: Irradiation with FLASH has been shown to decrease normal tissue toxicity while maintaining similar tumor control. To advance FLASH into the clinic, more preclinical investigations are first n...

Evaluating Pulse Normalization for Enhanced Ion Chamber Signal Correction in Relative Dosimetry during Beam Scanning

Authors: Alejandro Cuadra, Paulina E. Galavis, Juan Leal, Enrique Lozano, Franklin Reggio, Gabriel Zelada

Affiliation: ClĂ­nica Iram, Clinica Alemana, Hospital ClĂ­nico de Magallanes, E&G Medical Systems Ltda, NYU Langone Health

Abstract Preview: Purpose: To investigate and compare the new method “Pulse Normalization” proposed by Sun Nuclear to correct ion chamber signal for fluctuations in the accelerator output while performing relative dosi...

Evaluation of Film and 3D Printed Patient-Specific Phantom for Minibeam Radiation Therapy (MBRT) Dosimetry

Authors: Darwin Abraham Garcia, Michael P. Grams, Scott C Lester, Maryam Mashayekhi, Douglas John Moseley, Robert W Mutter, Sean S Park, Chrystian Quintero Mateus

Affiliation: Mayo Clinic - Rochester, Mayo Clinic

Abstract Preview: Purpose: MBRT delivers sub-millimeter wide regions of high “peak” (~10s Gy) and low “valley” (~1 Gy) doses to treat cancer. MBRT commissioning is performed in flat, uniform plastic water. Thus, differ...

Evaluation of the Latest Plastic Scintillating Detector System with Probe Sizes of 0.5 × 0.5 mm2 and 1.0 × 1.0 mm2 for Small Field Dosimetry

Authors: Milad BaradaranGhahfarokhi, Ashley Elizabeth Bonner, James R. Burns, Annie Cooney, George X. Ding, Kenneth L. Homann, Guozhen Luo

Affiliation: Corewell Health William Beaumont University Hospital, Vanderbilt University Medical Center

Abstract Preview: Purpose: The goal of this study was to evaluate the performance of a new plastic scintillating detector (PSD) system with 0.5×0.5 mm2 and 1.0×1.0 mm2 probes (referred to as Medscint0.5 and Medscint1.0...

Evaluation of the Varian Truebeam Linac Matching Process: Before, during, and after the Commission

Authors: Edwin Quashie, Yun Wang

Affiliation: Indiana University Medical School, Indiana University School of Medicine, Department of Radiation Oncology

Abstract Preview: Purpose: To provide a formal evaluation for the TrueBeam linac matching process before, during and after the commission of the newly installed TrueBeam linac which we want to match to an existing True...

Experience in Commissioning and Quality Assurance of Halcyon Linear Accelerator Ver3.0 at a Community Hospital and an Academic Institution

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:
The Varian Halcyon Linear Accelerator has become increasingly popular in both community hospitals and academic institutions due to its user-friendly design and operational efficiency. This...

Explainable Hybrid CNN-LLM Model to Guide Treatment Planning of Cervical Cancer High Dose Rate Brachytherapy

Authors: Adnan Jafar, Xun Jia, Michael B. Roumeliotis

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

Abstract Preview: Purpose: HDR brachytherapy (HDRBT) treatment planning is challenging due to the need for high-quality plans under time pressure, considering anatomy and applicator geometry. This study proposes an exp...

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 Study on Creating a Digital Twin of Digital Subtraction Angiography Data Utilizing Monte Carlo and Computational Fluid Dynamic Simulations

Authors: Ciprian N. Ionita, Parisa Naghdi, Ahmad Rahmatpour

Affiliation: University at Buffalo, SUNY: University at Buffalo

Abstract Preview: Purpose: Quantitative angiography (QA) evaluates neurovascular hemodynamics, but is affected by X-ray parameters, vessel foreshortening, and imaging chain factors like detector efficiency, pixel size,...

Feasibility and Consistency of a Quad Wedge with a 2D Detector Array for Routine Quality Assurance on a MR-Linac

Authors: Grace Hutchinson, Daniel E. Hyer, Samuel D. Rusu, Blake R. Smith, Joel J. St-Aubin

Affiliation: Iowa Health Care, University of Iowa

Abstract Preview: Purpose: To assess the feasibility and consistency of the Sun Nuclear Corporation (SNC) MR conditional Quad Wedge, as an accessory to the IC Profiler-MR, and to evaluate beam output and energy in the ...

Feasibility of Producing GRID Therapy Dosimetry Using a Compact Linac Treatment Head with Pencil Beam Scanning

Authors: Yiran Liu, Zhengzheng Liu, Fang-Fang Yin

Affiliation: Duke Kunshan Univeristy, Huazhong University of Science and Technology, Medical Physics Graduate Program, Duke Kunshan University

Abstract Preview: Purpose: To investigate the feasibility of producing high dose rate GRID therapy using a compact linear accelerator (LINAC) treatment head with scanning beam and stationary grid collimator.
Methods...

Field Output Correction Factors of Novel Shielded and Unshielded Silicon Diode Detectors

Authors: Mohamad Ahmad Alissa, Carson Brame, Damian Czarnecki, Olivier Evrard, Charbel A. Habib, Jeff Hildreth, Andy Murray, Andreas Schönfeld, Ann-Britt Schönfeld, David Towle, Gerd Wessing

Affiliation: CDT-West - Centrum fĂŒr Diagnostik und Therapie, Radiologie Vechta, Technische Hochschule Mittelhessen, MyMichigan Health, Sun Nuclear Corp., Mirion Technologies

Abstract Preview: Purpose: To characterize field output correction factors of novel shielded and unshielded silicon diode detectors.
Methods: Novel shielded and unshielded Silicon Diode Detectors (SDD) were characte...

Fully Automatic Pipelines for Anatomical ROI Detection and Exposure Index Calculation in X-Ray Imaging : Foundation Model-Based Frameworks for Dose Standardization

Authors: Yoonha Eo

Affiliation: Yonsei University

Abstract Preview: Purpose: To develop a fully automatic and unsupervised algorithm for estimating the Exposure Index (EI) of various Regions of Interest in X-ray imaging using advanced foundation models. Traditional EI...

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...

Generating Synthetic Positron Emission Tomography from Computed Tomography Using Lightweight Diffusion Model for Head and Neck Cancer

Authors: Rashmi Bhaskara, Shravan Bhavsar, Ananth Grama, Oluwaseyi Oderinde, Shourya Verma

Affiliation: Purdue University

Abstract Preview: Generating Synthetic Positron Emission Tomography from Computed Tomography using Lightweight Diffusion Model for Head and Neck Cancer
Purpose: To generate synthetic PET tumor avidity segments direc...

Geometric Alignment of MV-CBCT and Dual-Layer Kv-CBCT Projections Using Deep Learning

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: Applications of combined kV-MV CBCT include metal artifact correction and material identification. Difficulties arise, however, when the imagers have misaligned geometric perspectives of the ...

HDR End-to-End Testing of Horizontal Leipzig Skin Applicators with Ir-192 Calibrated Oslds

Authors: ChangSeon Kim, Andrew Lukban, Mario Serrano-Sosa, Nadia M. Vassell

Affiliation: Mount Sinai Beth Israel

Abstract Preview: Purpose: Commissioning of Flexitron HDR horizontal Leipzig applicators typically includes indirect or direct output verification, using a well chamber specific Revised Correspondence Factor (CFrev) or...

High-Energy Current Detectors for Proton Dose-Rate Beam Monitoring at Flash Dose-Rates.

Authors: Davide Brivio, Lia Carroll, Juliane Daartz, Jan PO Schuemann, Piotr Zygmanski

Affiliation: Massachusetts General Hospital, Department of Radiation Oncology, Brigham and Women’s Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Massachusetts General Hospital and Harvard Medical School

Abstract Preview: Purpose: We employ High-Energy Current (HEC) detectors for real-time monitoring of proton beams at conventional to FLASH dose rates. This would help overcome the need for fast and accurate dosimeters ...

High-Quality Patchnet (HQ-PatchNet) for Synthetic CT Generation in Head & Neck Imaging

Authors: So Hyun Ahn, Chris Beltran, Byongsu Choi, Jeong Heon Kim, Jin Sung Kim, Bo Lu, Justin Chunjoo Park, Bongyong Song, Jun Tan

Affiliation: Mayo Clinic, Department of Radiation Oncology, Yonsei Cancer Center, Heavy Ion Therapy Research Institute, Yonsei University College of Medicine, Ewha Medical Research Institute, Ewha Womans University College of Medicine, UC San Diego, Yonsei University College of Medicine

Abstract Preview: Purpose:
Cone-beam computed tomography (CBCT) is widely used in IGRT for patient positioning but suffers from low resolution and poor soft tissue contrast. Synthetic CT (sCT) generated from CBCT ad...

Hyperpolarized 13c Image Superresolution with Deep Learning

Authors: Kofi M. Deh, Tamas Jozsa, Tsang-Wei Tu

Affiliation: Cranfield University, Howard University Hospital, Howard University

Abstract Preview: Purpose: To enhance the quality of hyperpolarized (HP) 13C magnetic resonance images by integrating deep learning with perfusion modeling.
Methods: A convolutional neural network (CNN) and a superr...

Identification of Potential Patients for Resimulation and Adaptive Planning By Machine Learning

Authors: Mark Ashamalla, Renee Farrell, Jinkoo Kim, Kartik Mani, Xin Qian, Samuel Ryu, Yizhou Zhao

Affiliation: Stony Brook Medicine, Stony Brook University Hospital

Abstract Preview: Purpose: Adaptive planning is increasingly used in head and neck radiation therapy due to factors like tumor response or changes in patient anatomy. However, methods such as resimulation or offline re...

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 Jaw Reproducibility and Source Occlusion on Small Field Dosimetry

Authors: Mylinh Dang, Indra J. Das, George X. Ding, Ahtesham Ullah U Khan, Andrew J. White

Affiliation: Northwestern Memorial Hospital, Northwestern University Feinberg School of Medicine, Northwestern Medicine, Vanderbilt University Medical Center

Abstract Preview: Purpose: The large variability in field output factor (FOF) observed among various studies is speculated to be due to uncertainty in jaw reproducibility that is linked directly with source occlusion. ...

Implementing TG-191 for Robust Calibration of Scintillation Imaging As a Clinical dosimetry Tool

Authors: Petr Bruza, Megan Clark, David J. Gladstone, Lesley A Jarvis, Allison Matous

Affiliation: Thayer School of Engineering, Dartmouth College, Dartmouth Cancer Center, Dartmouth Health

Abstract Preview: Purpose: Scintillation imaging has demonstrated unique advantages to existing clinical in vivo dosimetry (IVD) techniques by enabling full-field visualization, direct comparison to the treatment plan,...

Improving Adversarial Approaches to Synthetic CT Image Generation with Skin Surface Masks

Authors: Mahya Ahmadzadeh, Nagarajan Kandasamy, Keyur Shah, Gregory C. Sharp, Santhosh Vadivel, John MacLaren Walsh

Affiliation: Electrical and Computer Engineering Department, Massachusetts General Hospital, Emory University, Drexel University

Abstract Preview: Purpose: In image-guided radiotherapy (IGRT), cone beam CTs (CBCTs) suffer from distortions that degrade registration with planning CTs. While CycleGANs can generate synthetic CTs (sCTs) from CBCTs, e...

Improving Output Stability with Angular Correction Factor on Pencil Beam Scanning Proton System

Authors: Akbar Anvari, Carnell J. Hampton, Melanie R. Piantino, Kai Yang

Affiliation: Levine Cancer Institute, Atrium Health

Abstract Preview: Purpose: To evaluate the effectiveness of angular correction factor for output stability on Mevion S250i Hyper scanning machine, which allows user to apply correction factors for output at selected ga...

Initial Three-Year Machine Performance Assessment of a Superficial Radiation Therapy Unit

Authors: Vibha Chaswal, Stephen D. Davis, Alonso N. Gutierrez, Noah S. Kalman, Yongsook C. Lee, William Romaguera, Ranjini P. Tolakanahalli, D. Jay J. Wieczorek

Affiliation: Miami Cancer Institute, Baptist Health South Florida

Abstract Preview: Purpose: To report machine performance of our superficial radiation therapy unit (SRT-100 Vision, Sensus Healthcare, Boca Raton, FL) for the first three years after commissioning of the unit.
Metho...

Integrating Neuroanatomic Knowledge in Clinical Target Volumes for Glioma Patients Using Deep Learning

Authors: Ali Ajdari, Thomas R. Bortfeld, Christopher Bridge, Gregory Buti, Marcela Giovenco, Fredrik Lofman, Gregory C. Sharp, Helen A Shih, Tugba Yilmaz

Affiliation: Massachusetts General Hospital, RaySearch Laboratories, Department Of Radiation Oncology, Massachusetts General Hospital (MGH), Massachusetts General Hospital & Harvard Medical School, Massachusetts General Hospital and Harvard Medical School

Abstract Preview: Purpose: Defining radiation target volumes with accurate integration of the neuroanatomy is one of the major difficulties in designing glioma treatments. We developed a deep learning network for norma...

Investigating Factors Impacting the Consistency of Signal-to-Noise Ratio in Mammographic Automatic Exposure Control

Authors: James Ward, Anzi Zhao

Affiliation: Northwestern Medicine

Abstract Preview: Purpose: This study investigates the impact of tissue-equivalent attenuator materials, the region of interest (ROI) size, and the orientation of the attenuator positioning on the measured signal-to-no...

Knowledge-Informed Deep Learning for Accurate and Interpretable Extracapsular Extension Detection in Head and Neck Squamous Cell Carcinoma

Authors: William N. Duggar, Amirhossein Eskorouchi, Haifeng Wang

Affiliation: Mississippi State University, University of Mississippi Medical Center

Abstract Preview: Purpose:
Extracapsular extension (ECE) in lymph nodes represents a critical prognostic factor in head and neck squamous cell carcinoma (HNSCC), bearing important implications for staging, treatment...

Longitudinal CMR Strain Analysis of Right Ventricular (RV) Function across Aging in Offspring of Baboons Exposed to Moderate Maternal Undernutrition

Authors: Geoffrey D. Clarke, Laura A. Cox, Alexander J Moody, Peter W Nathanielsz, Bowen Yang

Affiliation: Wake Forest University School of Medicine, University of Texas Health Science Center at San Antonio, Texas Biomedical Research Institute

Abstract Preview: Purpose:
Recent studies show diagnostic value of myocardial strain analysis for left ventricular (LV) function using cardiac magnetic resonance imaging (CMR). RV function analysis is more challengi...

Lung Mass Variability in Clinical Chest CT Imaging with Automatic Contouring Tool

Authors: Yasaman Anbari, Srinivas Cheenu Kappadath, Benjamin P. Lopez

Affiliation: University of Houston, UT MD Anderson Cancer Center

Abstract Preview: Purpose: To improve lung dosimetry for 90Y-radioembolization planning, CT-based techniques have been proposed for patient-specific lung mass estimation instead of assuming nominal 1 kg lung masses. He...

Mitigating Discrepancies in Radiology Reports: A Robust LLM Approach for Generating Consistent Impressions

Authors: Junwen Liu, Mengzhen Wang, Ning Wen, Jifeng Xiao, Fuhua Yan, Yanzhao Yang, Xuekun Zhang, Zheyu Zhang

Affiliation: Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Department of Radiology, Ruijin Hospital Shanghai Jiaotong University School of Medicine, Shanghai Jiaotong University, The SJTU-Ruijin-UIH Institute for Medical Imaging Technology, Shanghai Jiaotong University Schoo of Medicine

Abstract Preview: Purpose:This study aims to develop and evaluate a large language model (LLM) fine-tuned to generate consistent and accurate impressions from imaging findings. Additionally, the study investigates the ...

Mobetron Quality Assurance Tools

Authors: Robert A. Dahl

Affiliation: Mayo Foundation

Abstract Preview: Purpose: To develop tools to simplify/accelerate the quality assurance testing of the Mobetron mobile linear accelerator and increase safety when moving it to different OR’s.

Methods: The Mobet...

Neural Network Based Differentiable Optimization for Volumetric Modulated Arc Therapy (VMAT)

Authors: Peng Dong, Lei Xing

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

Abstract Preview: Purpose: Volumetric Modulated Arc Therapy (VMAT) optimization is a complex, non-convex problem with numerous variables and intricate constraints. Traditional optimization methods often lack efficiency...

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...

Optimized Methodology for Accurate Half-Value Layer Measurement in Preclinical X-Ray Cabinet Systems

Authors: Paolo Pellicioli, Mohammad Rezaee, Ehsan Tajikmansoury, John W. Wong

Affiliation: Institute of Anatomy, University of Bern, Baltzerstrasse, Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine

Abstract Preview: Purpose: Half-value layer (HVL) is a critical parameter for commissioning and quality assurance of preclinical x-ray irradiators. However, measuring HVL in cabinet systems presents challenges due to s...

Optimizing Dosimetry in Rpt Clinics: Tackling Initial Hurdles and Ensuring Image Accuracy.

Authors: Siju C. George, Alonso N. Gutierrez, Vivek Mishra, Ranjini P. Tolakanahalli

Affiliation: Miami Cancer Institute, Baptist Health South Florida, Miami Cancer Institute

Abstract Preview: Purpose: This presentation focuses on optimizing dosimetry in RPT clinics by tackling initial setup challenges and ensuring the accuracy of SPECT/CT imaging for dosimetry. It will address the qualific...

Optimizing Motion Management QA: Clinical Integration of Aapm TG-306 for the Radixact Synchrony System

Authors: Hulya Ozdemir Buss, Jeffrey Geiger, Kim Howard, Julius G. Ojwang, Neelu Soni

Affiliation: Mercy Hospital Springfield

Abstract Preview: Purpose: The Radixact Synchrony system integrates real-time motion tracking and compensates to improve treatment accuracy for moving targets. This study presents a streamlined and efficient quality as...

Optimizing Phantom Measurement of Simt Radiosurgery

Authors: Mark W. Geurts, Bridget Ann Melke

Affiliation: Aspirus Health

Abstract Preview: Purpose:
To develop a tool that streamlines and standardizes the process of positioning the SRS MapCHECK detector for intersecting multiple metastases during SRS QA of Single-Isocenter, Multiple Ta...

Patient Specific Protocol Optimization in Cardiac CT: A Practical Approach to Its Validation

Authors: Zhihua Qi

Affiliation: Henry Ford Health

Abstract Preview: Purpose: State of the art cardiac CT has built-in automated, patient specific optimization, taking into account a number of factors including patient size, heart rate and others. It is crucial to deve...

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

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

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

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

Performance of Photon Counting Detector in a Clinical PCD-CT: A Novel Image-Based Evaluation

Authors: Frank F. Dong, Megan C. Jacobsen, Ke Li, Xinming Liu, John Rong

Affiliation: UT MD Anderson Cancer Center

Abstract Preview: Purpose: We aimed to understand the physical performance of a CdTe PCD-based detector system within a whole-body PCD-CT scanner, with the goal of optimizing its clinical application. Instead of relyin...

Physics and Geometry Input-Based Neural Network Dose Engine

Authors: Ricardo Garcia Santiago, Narges Miri, Daryl P. Nazareth, Ankit Pant, Mukund Seshadri

Affiliation: Roswell Park Comprehensive Cancer Center

Abstract Preview: Purpose: To develop a transformer-based deep learning network framework for predicting VMAT dose distributions. This can provide fast and efficient calculations with accuracies potentially comparable ...

Predicting Hematologic Toxicity in Advanced Cervical Cancer Patients Using Interpretable Machine Learning Models Based on Radiomics and Dosimetrics

Authors: Qianxi Ni, Qionghui Zhou

Affiliation: The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University/Hunan Cancer Hospital, the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University

Abstract Preview: Purpose:
This study aims to develop and evaluate interpretable machine learning models that use radiomic and dosimetric features to predict HT in advanced cervical cancer patients.
Methods:
R...

Predicting Proton Therapy Dose Delivery Accuracy: A Machine Learning Approach Using Iroc’s Proton Phantom Data

Authors: Lian Duan, Stephen F. Kry, Hunter S. Mehrens, Paige A. Taylor

Affiliation: The University of Texas MD Anderson Cancer Center, UT MD Anderson Cancer Center

Abstract Preview: Purpose: To develop a machine learning model for predicting dose delivery accuracy and identifying its key factors in IROC’s proton phantom program.
Methods: IROC’s proton QA program has six proton...

Pulse-Based Method of Electrometer Calibration for High Instantaneous Currents Produced in Ultra-High Dose per-Pulse Electron Beams

Authors: Wesley S. Culberson, Miguel Angel Flores Mancera, Jeff Radtke

Affiliation: Department of Medical Physics, School of Medicine and Public Health, University of Wisconsin - Madison

Abstract Preview: Purpose: Electrometers are fundamental instruments for absorbed dose determination, and their accuracy is strongly dependent on their calibration. The standard procedure of electrometer calibration is...

Re-Structuring of Clinical Education within a Therapy Medical Physics Residency Program

Authors: Kristofer K. Kainz, Eenas A. Omari, Eric S. Paulson

Affiliation: Department of Radiation Oncology, Medical College of Wisconsin

Abstract Preview: Purpose: We present our therapy physics residency program’s revisions to its training structure, with the goals of more efficient clinical education and preservation of the residency’s clinical suppor...

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

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

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

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

Real-Time Output Gating and Fault Handling for an Uhdr Mobetron

Authors: Petr Bruza, David J. Gladstone, Lesley A Jarvis, Austin Sloop, Kevin J. Willy, Rongxiao Zhang

Affiliation: Thayer School of Engineering, Dartmouth College, Dartmouth Cancer Center, Dartmouth Health

Abstract Preview: Purpose:
Active beam monitoring and output-gated dosimetry are essential systems for safe and accurate radiation delivery. UHDR irradiators such as the Mobetron rely on pre-programmed regimes and t...

Reduction of the Charge Build-up Effect on the Beam Current Transformers for Real-Time Monitoring of Ultra-High Dose per-Pulse Electron Beams

Authors: Wesley S. Culberson, Miguel Angel Flores Mancera, Jeff Radtke

Affiliation: Department of Medical Physics, School of Medicine and Public Health, University of Wisconsin - Madison

Abstract Preview: Purpose: Beam current transformers (BCTs) are a promising alternative to ion chambers for real-time monitoring of ultra-high dose per-pulse (UHDPP) beams. The signal of the BCT is insensitive to ion r...

Research on the Target Current Pulse Counting Method for Measuring the Output Dose of Medical Standing Wave Electronic Linear Accelerator

Authors: Shixiong Huang, Daming Li

Affiliation: The Affiliated Nanhua Hospital, University of South China, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University/Hunan Cancer Hospital

Abstract Preview: Purpose: To assess the feasibility of using target current pulse signals to evaluate the output dose of medical standing wave electronic linear accelerators.
Methods: The Target I signal of the acc...

Small Fields Output Factor Measurements in 1.5 MR-Linac

Authors: Thomas I. Banks, Tsuicheng D. Chiu, Viktor M. Iakovenko, Christopher Kabat, Chang-Shiun Lin, Mu-Han Lin, Arnold Pompos

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: The superior soft-tissue contrast provided by MR imaging offers favorable conditions for the effective application of stereotactic body radiation therapy (SBRT). Accurate small field dosimetr...

Streamlined Calibration of Mosfet Dosimeters for Radixact Systems: Addressing Angular Dependence and Beam Profile Challenges

Authors: Guang-Pei Chen, Renae Conlin, Juan A. Garcia-Alvarez, Kirk Morris, Haidy G. Nasief, Eenas A. Omari, Eric S. Paulson

Affiliation: Department of Radiation Oncology, Medical College of Wisconsin

Abstract Preview: Purpose: Cumulative dose limits make replacing and calibrating Metal Oxide Semiconductor Field Effect dosimeters (MOSFET-d) used for in-vivo dosimetry a common clinical task. Calibration protocols for...

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

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

Affiliation: Department of Radiation Oncology, Medical College of Wisconsin

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

Structure-Based Diffusion Model for CT Synthesis from MR Images for Radiotherapy Treatment Planning

Authors: Samuel Kadoury, Redha Touati

Affiliation: Polytechnique Montréal

Abstract Preview: Purpose:
Generating synthetic CT images from MR acquisitions for radiotherapy planning allows to integrate soft tissue contrast alongside density information stemming from CT, thus improving tumor ...

Tactile Image Prototype for Interpretation of Medical Images

Authors: Lily Jo Bertemes, Careesa Billante, Ashley Cetnar, Maximilian Stephen Meineke, Runhe Tan

Affiliation: The Ohio State University James Cancer Hospital, The James Cancer Center, The Ohio State University, The Ohio State University - James Cancer Hospital

Abstract Preview: Purpose: As accessibility is becoming a topic of increasing importance, we can consider how to make medical physics more accessible to those with various disabilities, including those with visual impa...

The Root Cause of Large Differences in Calculated Beam Monitor Units between a Treatment Planning System and a QA Software

Authors: George X. Ding, Kenneth L. Homann

Affiliation: Vanderbilt University Medical Center

Abstract Preview: Purpose: It is standard practice that the beam monitor units (MUs) calculated by a commercial treatment planning system (TPS) is verified by a secondary dose calculation (SDC) software that independen...

The Use of a Milled NIST Traceable Tld for End-to-End Validation in Mlc and Cone SRS Programs.

Authors: Ross Bland, Zachary A. Christ, Sophy Mangana, Feba Mathew, Stephanie K. Phoenix, Joseph Salloum, Jason D. Stanford, William Zollinger

Affiliation: Forrest General Cancer Center, Northeast Louisiana Cancer Institute, Florida Atlantic University

Abstract Preview: Purpose: The objective of this paper is twofold: 1) to explore the efficacy of using referenced beam models supplied by the vendor (Brainlab) and 2) the efficacy of NIST traceable TLD for end-to-end v...

Towards Optimal Target Dose Conformity and Dose Drop-Off: Evaluation of a New Optimization Approach for Biology-Guided Radiotherapy Treatment Planning

Authors: Grant Gibbard, Chunhui Han, An Liu

Affiliation: RefleXion Medical, Department of Radiation Oncology, City of Hope National Medical Center

Abstract Preview: Purpose: To evaluate the efficacy of a new approach to streamline treatment planning for biology-guided radiotherapy (BgRT) of fluorodeoxyglucose (FDG)-avid bony lesions on a BgRT machine with real-ti...

Towards Real-Time Marker-Less Prostate Tracking on Standard Radiation Therapy Systems

Authors: Freeman Jin, Paul J. Keall, Alistair MacDonald, Adam Mylonas, Chandrima Sengupta

Affiliation: Image X Institute, Faculty of Medicine and Health, University of Sydney, Image X Institute, Faculty of Medicine and Health, The University of Sydney, Image X Institute, School of Health Sciences, University of Sydney

Abstract Preview: Purpose: During radiation therapy, tumours in the prostate may move from the planned treatment position, leading to significant dose deviations above clinical tolerances Surveys have indicated the nee...

Ultrasonic Detection of Flash-Level Dose Pulses from a Medical Linac

Authors: Fred B. Bateman, Ilaria M. Luna, Ronald E. Tosh

Affiliation: Sidwell Friends School, NIST, Dosimetry Group, Radiation Physics Division, National Institute of Standards and Technology

Abstract Preview: Purpose: To exploit the rapid response time and dose sensitivity of ultrasonic detection methods for resolving pulse structure in FLASH-level beams.

Methods: Two ultrasonic transducers position...

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...

Using Open-Source Reasoning Large Language Models for Radiotherapy Structure Name Harmonization

Authors: Claus Belka, Stefanie Corradini, Christopher Kurz, Guillaume Landry, Matteo Maspero, Adrian Thummerer, Erik van der Bijl

Affiliation: Department of Radiation Oncology, LMU University Hospital, LMU Munich, Radboud University Medical Center, UMC Utrecht

Abstract Preview: Purpose: To automatically harmonize non-standardized organ-at-risk (OAR) structure names from multi-lingual, multi-institutional radiotherapy datasets using state-of-the-art open-source reasoning larg...

Using a Generative Adversarial Network (GAN) for Source Particle Generation in Monte Carlo Radiation Therapy Simulations

Authors: Jiankui Yuan, Dandan Zheng, Tingliang Zhuang

Affiliation: Medical Artificial Intelligence and Automation (MAIA) Laboratory, Department of Radiation Oncology, UT Southwestern Medical Center, University of Rochester, Varian Medical Systems, Advanced Oncology Solutions

Abstract Preview: Purpose: In Monte Carlo (MC) radiation therapy dose calculations, latent variance exists when directly applying phase-space files (PSF) with a finite number of source particles, while the latter is pr...

Validation of an Independent Dose Calculation Software for ZAP-X Stereotactic Radiosurgery

Authors: Michael Evan Chaga, Timothy Chen, Shabbar Danish, Jesse Feng, Joseph Hanley, Georg A. Weidlich

Affiliation: Zap Surgical, Tenafly High School, 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 validation of ZapMU for independent check of dose calculation is performed, ut...

“See” through Surface: Transforming Surface Imaging into a Real-Time Three-Dimensional Imaging Solution for Intra-Treatment Image Guidance

Authors: Steve B. Jiang, Ruiqi Li, Hua-Chieh Shao, Kenneth Westover, You Zhang, Tingliang Zhuang

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

Abstract Preview: Purpose:
Respiratory motion is a long-standing challenge for lung SBRT, particularly for centrally-located lung tumors where increased toxicity demands more precise motion management during treatme...