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Results for "open source": 49 found

A Comprehensive TG 263 Toolkit for Generating, Validating, and Parsing Radiation Therapy Target Names

Authors: Rex A. Cardan, Richard A. Popple

Affiliation: University of Alabama at Birmingham

Abstract Preview: Purpose:
Compliance with TG 263 naming conventions for target structures in radiation oncology remains a challenging task due to the complexity and variability of the protocol. Traditional validati...

A GUI-Based Python Platform for the Quantification of Pre-Clinical Planar Optical Imaging Using 3D Anatomical Information

Authors: Bryan Bednarz, Malick Bio Idrissou, Campbell Haasch, Reinier Hernandez

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

Abstract Preview: Purpose: Quantitative optical imaging is a powerful tool in murine models for assessing tumor growth and metastatic spread using bioluminescence imaging (BLI) and for detecting radiopharmaceutical upt...

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

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

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

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

Methods: The H...

A 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 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 Virtual 4DCT Generator Based on a Digital Phantom with Joint Cardiac and Respiratory Motions

Authors: Phillip Cuculich, Geoffrey D. Hugo, Xiwen Li, Michael T. Prusator, Clifford Robinson, Pamela Samson, Xue Wu

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

Abstract Preview: Purpose:
For development of novel motion management methods it is useful to have a digital phantom capable of realistic simulation of respiratory 4DCT acquisition of the thorax, including cycle-to-...

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...

An Automated Approach to Monitoring Clinical Protocols Against a Master Protocol

Authors: Jeremy Christophel, Zhihua Qi

Affiliation: Henry Ford Health

Abstract Preview: Purpose: To demonstrate a method to compare DICOM metadata from clinical scanners with institutional protocols as validation that clinical use matches the master protocol.
Methods: DICOM metadata i...

An Automated System for MRI Coil Performance Evaluation

Authors: Michael Cuddy, Samuel J. Fahrenholtz, Khushnood Hamdani, Saman Jirjes, Robert G. Paden, Jeremiah W. Sanders, William F. Sensakovic, Wolfgang Stefan, Jeffrey Xiao, Yuxiang Zhou

Affiliation: Mayo, Mayo Clinic Arizona, Mayo Clinic

Abstract Preview: Title: An automated system for MRI coil performance evaluation

Purpose: To develop an automated quality control (QC) system for MRI coils to assess element-level signal-to-noise ratio (SNR), ar...

An Educational Tool for Structural Shielding Design of X-Ray Facilities Using Open-Source Computer Graphics and Animation Software

Authors: Michael B. Altman, Zhuo Chen, Ella Lawrence, Borna Maraghechi, Ziad H. Saleh

Affiliation: Washington University School of Medicine, WashU Medicine

Abstract Preview: Purpose: Structural shielding design for x-ray facilities, as specified in NCRP Report No. 151, is a detailed process but an important component of Medical Physics graduate and post-graduate education...

Automated Classification of Treatment Sites from Physician Consult Notes Using a Large Language Model

Authors: Klea Hoxha, Dylan P. O'Connell, Ricky R Savjani

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

Abstract Preview: Purpose: Ambiguities in physician simulation orders lead to workflow disruptions during CT simulation. Often, information that could provide
helpful context to simulation therapists and planners is...

Automated Decision Workflow Using Fast Monte Carlo Dose Calculations for Daily Adaptive Proton Therapy

Authors: Ergun E. Ahunbay, Abdul Parchur, Eric S. Paulson, Ilaria Rinaldi, Angelo Schiavi, Li Zhao

Affiliation: Sapienza University of Rome, Department of Radiation Oncology (Maastro), GROW School for Oncology, Maastricht University Medical Centre+, Department of Radiation Oncology, Medical College of Wisconsin

Abstract Preview: Purpose: Online adaptive replanning is often necessary in Intensity Modulated Proton Therapy (IMPT) due to the sensitivity of proton dose distributions to daily anatomical changes. A rapid, automated ...

Brachify: An Open-Source 3D Modeling Solution for 3D Printable Cervical and Vaginal Cylindrical Templates

Authors: Michael Kudla, Stephanie Merkl

Affiliation: BC Cancer - Kelowna

Abstract Preview: Purpose: 3D modeling for 3D printed GYN high dose rate (HDR) brachytherapy templates can be a time-consuming, error-prone process. To simplify the creation these templates, a software application has ...

Breastplan-Helper: Publicly Shared Source Scripting Toolset to Assist in 3D Breast Planning

Authors: Ryan Clark, Anthony Magliari, Luis Felipe Oliveira E Silva, Yang Sheng, Jason R Vickress, Qingrong Jackie Wu, Giulianne Rivelli Rodrigues Zaratim

Affiliation: Verspeeten Family Cancer Center, Office of Medical Affairs, Varian, A Siemens Healthineers Company, Confiar Radioterapia, Duke University Medical Center

Abstract Preview: Purpose: Develop a toolset to replace several of the tedious steps required to manually generate 3D breast treatment plans using static gantry forward planned tangent beams.

Methods: Eclipse Sc...

Clinical Implementation of a Film Based Psqa System for SBRT on a 1.5T MR-Linac

Authors: Dylan Yamabe Breitkreutz, Lee Chin, Brige P. Chugh, Mark D'Souza, Brian M. Keller, Anthony Kim, Michelle K. Nielsen, Arjun Sahgal

Affiliation: Sunnybrook Health Sciences Centre

Abstract Preview: Purpose: The Elekta Unity MR-linac delivers highly conformal SBRT treatments using IMRT. These treatment plans require patient-specific quality assurance (PSQA) measurements to detect discrepancies be...

Comparison of AI-Based and Ants for Longitudinal Deformable Image Registration in Head and Neck Cancer

Authors: Aditya P. Apte, Joseph O. Deasy, Jue Jiang, Nancy Lee, Sudharsan Madhavan, Nishant Nadkarni, Lopamudra Nayak, Harini Veeraraghavan, Wei Zhao

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

Abstract Preview: Purpose: To track early response to radiotherapy using digital twins, it is crucial to quantify tumor volume and mass changes. Traditional tumor detection methods, particularly in image registration, ...

Computed Tomography Organ Dose Library Derived from Newly Developed Newborn-Infant-Toddler Computational Phantoms

Authors: Jared Baggett, Wesley E. Bolch, Lukas M. Carter, Robert Joseph Dawson, Laura Dinwiddie, Adam Leon Kesner, Cameron B. Kofler, Juan Camilo Ocampo Ramos, Yitian Wang, Stefan Wehmeier

Affiliation: University of Chicago, Department of Medical Physics, Memorial Sloan Kettering Cancer Center, University of Florida, MD Anderson

Abstract Preview: Purpose: To develop a slice-specific computed tomography (CT) organ dose library using Monte Carlo radiation transport simulations on a newly created set of newborn, infant, and toddler computational ...

Deep Learning-Based Segmentation for Precision Radiation Therapy in Breast Cancertreatment

Authors: Hamdah Alanazi, Silvia Pella

Affiliation: FAU, Florida Atlantic University

Abstract Preview: Purpose: The appearance of breast cancer in the global list of most common cancers worldwide requires
research for ultimate treatment approaches including radiation therapy to reduce deaths from br...

Discriminative Uncertainty Learning for Cancer Classification

Authors: Wei Wei, Yading Yuan

Affiliation: Columbia University Irving Medical Center, Department of Radiation Oncology

Abstract Preview: Purpose: To investigate an uncertainty modeling method to improve the performance of cancer classification with the ability to produce uncertainty score.
Methods: Deep learning has achieved state-o...

Evaluate a Deep-Learning Auto-Segmentation Software for Liver SIRT

Authors: Wookjin Choi, Jun Li

Affiliation: Thomas Jefferson University

Abstract Preview: Purpose: Resin Yttrium-90 (Y-90) selective internal radiation therapy (SIRT) is a radioembolization procedure which uses Y-90 microspheres to treat metastatic liver cancer. In the procedure, liver vol...

Evaluating Supervised Learning Models for Binary Classification of Radiomic Data in Predicting Head and Neck Cancer Treatment Outcomes

Authors: Theodore Higgins Arsenault, Kyle O'Carroll, Christian Erik Petersen, Alex T. Price, Meiying Xing

Affiliation: University Hospitals Seidman Cancer Center

Abstract Preview: Purpose: To assess the performance of various supervised learning models’ ability to predict binary classification of radiomic data for head and neck (H&N) cancer treatment outcomes.
Methods: Using...

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 Impact of Different Deface Algorithms on the Deep Learning Segmentation Software Performance

Authors: Ali Ammar, Quan Chen, Yi Rong, Libing Zhu

Affiliation: Mayo Clinic Arizona

Abstract Preview: Purpose: To investigate how defacing algorithms, essential for patient privacy in data sharing, impact AI-based segmentation performance in CT imaging for radiation therapy. This study evaluates wheth...

Evaluation of Phosphorus-32 Source Uniformity Using Python Algorithm and Monte Carlo Simulation

Authors: Ana Laura Burin, Ilca Marli Moitinho Amaral Medeiros, Priscila Santos Rodrigues, Maria Elisa Chuery Martins Rostelato, Sabrina Spigaroli Sgrignoli, Ana Catarina Koka de Souza Silva, Carla Daruich Souza, Cristhian Ferreira Talacimon, Lara El Hajj Teodoro, Carlos Alberto Zeituni

Affiliation: IPEN - USP, IPEN - Instituto de Pesquisas Energéticas e Nucleares

Abstract Preview: Purpose: The uniform distribution of phosphorus-32 (32P) in beta sources is essential to ensure the accuracy of radiotherapy treatments, such as those for paravertebral cancer. This study evaluated th...

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...

Impact of Six Degrees of Freedom Intrafraction Motion on Target Coverage for Single-Isocenter Multi-Target Stereotactic Radiosurgery

Authors: Anupama Chundury, Hyejoo Kang, John C. Roeske, Iris A. Rusu

Affiliation: Loyola University Medical Center, Department of Radiation Oncology, Stritch School of Medicine, Loyola University Chicago, Stritch School of Medicine Loyola University Chicago, Cardinal Bernardin Cancer Center, Loyola University Chicago

Abstract Preview: Purpose: To quantify the dosimetric impact of six degrees of freedom (6DoF) intrafractional errors on gross tumor volume (GTV) and planning target volumes (PTV) for single-isocenter multi-target stere...

Implementation of Radiochemotherapy Applied to Virtual Spheroids Using an Open-Source Multiscale Computational Framework

Authors: Ignacio Espinoza, Ignacio Narea, Beatriz Sanchez-Nieto

Affiliation: Institute of Physics, Pontificia Universidad Católica de Chile

Abstract Preview: Purpose: This study aims to evaluate the tumor response to combined radiochemotherapy on MCF7 spheroids using an open-source multiscale computational framework. The model provides a platform to simula...

Implementing a Learning-to-Optimize Machine Learning Framework to Accelerate VMAT Treatment Planning Optimization for Prostate Cancer

Authors: Ara Alexandrian, Sadiki Daniel

Affiliation: Louisiana State University, Mary Bird Perkins Cancer Center

Abstract Preview: Purpose: To develop a learning-to-optimize machine learning model that accelerates optimization in VMAT treatment planning by training on prostate patient data.
Methods: A treatment plan dataset of...

Improving TG-263 Target Name Compliance Using Locally-Hosted Large Language Models

Authors: Rex A. Cardan, Carlos E. Cardenas, Udbhav S. Ram

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

Abstract Preview: Purpose: The AAPM TG-263 report provides nomenclature guidelines for target and normal tissue structures used in radiation oncology. Adherence to these guidelines is challenging for targets, as there ...

Inter-Fractional Target Similarity during Tandem and Ring HDR Brachytherapy

Authors: Olubunmi Odunola Aregbe, Clara Ferreira, Margaret Reynolds, David A. Sterling

Affiliation: University of Minnesota, University of Minnesota Physicians, Department of Radiation Oncology, University of Minnesota, Minneapolis

Abstract Preview: Purpose: Current best practices recommend daily imaging and planning for Tandem and Ring (T&R) HDR patient plans. Accurate target delineation is a critical, yet time consuming step in this process. Th...

Inverse Geometry Photon Counting CBCT

Authors: Saree Alnaghy, Owen Thomas Dillon, Sean P Hood, Paul J. Keall, Ricky O'Brien, Tess Reynolds

Affiliation: Image X Institute, Faculty of Medicine and Health, The University of Sydney, University of Wollongong, Medical Radiations, School of Health and Biomedical Sciences, RMIT University

Abstract Preview: Purpose: Photon Counting Detectors (PCDs) have been demonstrated to improve resolution, contrast and lesion detectability in fan-beam CT. There is naturally a desire to bring these improvements to Con...

Low-Cost Image Quality Assurance Phantom Customization Via Additive Manufacturing

Authors: Sarah E. Holler, Daniel Johnson

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

Abstract Preview: Purpose: As the technological availability of modern clinical infrastructure increases in resource-restricted regions of the world, the needs to maintain quality standards of practice need not be hamp...

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

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

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

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

Multi-Variat, Multi-Model, and Multi-Patient: From Pure Feasibility to Generalizability in Machine Learning Outcome Prediction Model-Based Treatment Plan Optimization

Authors: Martin Frank, Oliver Jäkel, Niklas Wahl

Affiliation: Department of Medical Physics in Radiation Oncology, German Cancer Research Center (DKFZ), Karlsruhe Institute of Technology (KIT)

Abstract Preview: Purpose: Machine learning (ML) models on normal tissue complication and tumor control probability ((N)TCP) exploiting e.g. dosiomic and radiomic features are playing an increasingly important role in ...

Opentps: An Open-Source Radiotherapy Treatment Planning System to Foster Research, Innovation, and Education in Medical Physics

Authors: Ana Maria Barragan Montero, Damien Dasnoy, Sylvain Deffet, Valentine Dormal, Colin Gaban, Melanie Ghislaine, Valentin Hamaide, Guillaume Janssens, John A. Lee, Eliot Peeters, Danah Pross, Luciano Rivetti, Benjamin Roberfroid, Romain Schyns, Kevin Souris, Edmond S. Sterpin, Sophie Wuyckens

Affiliation: Ion Beam Applications SA, Hospital Riviera-Chablais, UCLouvain, Multitel, Université Catholique de Louvain, IBA, Faculty of Mathematics and Physics, University of Ljubljana, Universite Catholique de Louvain

Abstract Preview: Purpose: Treatment planning systems (TPSs) are essential for simulating and optimizing radiotherapy treatments. However, clinical TPSs are expensive software commercialized by private companies and of...

Optimizing Low-Dose Imaging Parameters for Dual-Energy Cone-Beam Computed Tomography in Image-Guided Radiation Therapy

Authors: Sebastien A. Gros, Hyejoo Kang, Andrew Keeler, Luke Layman, Jason Patrick Luce, Ha Nguyen, John C. Roeske

Affiliation: Department of Radiation Oncology, Stritch School of Medicine, Loyola University Chicago, Stritch School of Medicine Loyola University Chicago, Cardinal Bernardin Cancer Center, Loyola University Chicago

Abstract Preview: Purpose:
This study aims to optimize virtual monoenergetic (VM) images obtained from dual-energy (DE) cone-beam computer tomography (CBCT) protocols for Image-Guided Radiation Therapy (IGRT). The o...

Personalized Dosimetric Workflow for 177Lu-PSMA Treatments Considering the Cross-Irradiation from Bone Metastases to Red Bone Marrow

Authors: Nadège Anizan, David Broggio, Désirée Deandreis, Didier Franck, Camilo Garcia, Stéphanie Lamart, Sébastien Leygnac, Alexandre Pignard

Affiliation: Gustave Roussy, Service de Physique Médicale, Institut Bergonié, Service de Physique Médicale, Gustave Roussy, Service de Médecine Nucléaire, Autorité de Sûreté Nucléaire et de Radioprotection (ASNR), PSE-SANTE/SDOS/LEDI, Autorité de Sûreté Nucléaire et de Radioprotection (ASNR), PSE-SANTE/SDOS

Abstract Preview: Purpose: This work aimed at developing an innovative workflow for 177Lu-PSMA personalized dosimetry to lesions and organs at risk (OAR) simultaneously, considering the cross-irradiation from bone meta...

Pipeline for Characterizing (Dosimetric) Impact of Respiratory Motion on Cardiac SBRT

Authors: Sarah Aubert, Leigh Conroy, Tony Tadic

Affiliation: Princess Margaret Cancer Centre

Abstract Preview: Purpose: Cardiac radioablation is an emerging non-invasive treatment option for patients with refractory or life-threatening ventricular tachycardia (VT), however it is difficult to deliver highly con...

Portpy: An Open-Source Python Package to Accelerate Research in Radiotherapy Treatment Planning Optimization

Authors: Qijie Huang, Gourav Jhanwar, Saad Nadeem, Vicki Trier Taasti, Mojtaba Tefagh, Seppo Tuomaala, Masoud Zarepisheh

Affiliation: Varian Medical Systems Inc, Department of Clinical Medicine - Danish Center for Particle Therapy, Aarhus University Hospital, Memorial Sloan Kettering Cancer Center, The University of Edinburgh

Abstract Preview: Purpose:
We have developed PortPy (Planning and Optimization for Radiation Therapy in Python), a first-of-its-kind open-source package designed to accelerate research and development in radiotherap...

Prospective Organ-Level Dose Estimation in CT Imaging Using Scout-Net: A Comparison with Established Methods

Authors: Maria Jose Medrano, Grant Stevens, Liyan Sun, Justin Ruey Tse, Adam S. Wang, Sen Wang

Affiliation: Department of Radiology, Stanford University, GE HealthCare, Stanford University

Abstract Preview: Purpose: Patient exposure to ionizing radiation is a major concern in CT imaging. Size-specific dose estimation methods can prospectively estimate organ-level radiation doses based on patient sizes an...

Python-Native Cerr for Cloud-Based Medical Image Analyses

Authors: Aditya P. Apte, Joseph O. Deasy, Sharif Elguindi, Aditi Iyer, Jue Jiang, Eve Marie LoCastro, Jung Hun Oh, Amita Shukla-Dave, Harini Veeraraghavan

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

Abstract Preview: Purpose: We present port of popular Computational Environment for Radiological Research software platform to Python programming language to cater to cloud-based analyses.
Methods: The components of...

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

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

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

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

Reasoning-Driven Prompts Improve EHR-Based Outcome Prediction and Clinical Interpretability in Large Language Models

Authors: Shreyas Anil, Jason Chan, Arushi Gulati, Yannet Interian, Hui Lin, Benedict Neo, Andrea Park, Bhumika Srinivas

Affiliation: Department of Otolaryngology Head and Neck Surgery, University of California San Francisco, Department of Data Science, University of San Francisco, Department of Radiation Oncology, University of California San Francisco, University of San Francisco

Abstract Preview: Purpose: As Large Language Models (LLMs) continue to evolve, their ability to analyze Electronic Health Record (EHR) notes for clinical decision support expands. Chain of Thought (COT) reasoning, an e...

Retrospective Study Using Avi Planner for Head and Neck Cancer Cases: Our Experience at Nsia-Luth Cancer Center, South - West Nigeria

Authors: Adebayo Abe, Samuel Olaolu Adeneye, Eben Aje, Bidemi I. Akinlade, Inioluwa Damilola Ariyo, Lilian Ekpo, Muhammad Habeebu, Adedayo O. Joseph, Charles S. Mayo, Noah Ndianaobong, Ikechi S Ozoemelam, Margaret Dideolu Taiwo, Godwin Uwagba

Affiliation: University of Michigan, University of Ibadan, University of Lagos, Missouri University of Science and Technology, NSIA-LUTH Cancer Center, University of Lagos, NSIA-LUTH Cancer Centre, NSIA-LUTH Cancer Center

Abstract Preview: Purpose:
Head and neck cancers (HNC) present significant challenges in radiotherapy due to complex anatomy and the proximity to critical organs at risk (OARs). These challenges are compounded in na...

The Topas Monte Carlo Framework – Status and Outlook after 15 Years of Development

Authors: Alejandro Bertolet, Jorge Naoki Dominguez Kondo, Bruce A. Faddegon, Thongchai Masilela, Isaac Meyer, Victor V. Onecha, Harald Paganetti, Jose A. Ramos-Mendez, Jan PO Schuemann, Wook-Geun Shin

Affiliation: University of California San Francisco, Massachusetts General Hospital and Harvard Medical School, Massachusetts General Hospital

Abstract Preview: Purpose: To present the results of 15 years of developments of the TOPAS TOol for PArticle Simulation framework, and to highlight recent and new developments.

Methods: Fundamental understanding...

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...

Validation of an Open Source Automatic Segmentation Tool for Personalized Dosimetry

Authors: Klaus Bacher, Louise D'hondt, Jeff Rutten, Gwenny Verfaillie

Affiliation: Ghent University

Abstract Preview: Purpose: Manual organ segmentation is a very time-consuming but necessary process in personalized dosimetry. Automatic segmentation tools may alleviate this task. In this study the impact of automatic...

Voxel Level Dosimetry Using Open Source Software

Authors: Juan Camilo Ocampo Ramos

Affiliation: MD Anderson

Abstract Preview: N/A...

Voxel-Based Micro-Yucatan Minipig Phantoms for Use in Internal Dosimetry

Authors: John P. Aris, Wesley E. Bolch, Natalia Estefania Carrasco-Rojas, Ann M. Chan, Chansoo Choi, Aitor Gallastegui Menoyo, Rowan James Milner, Bangho Shin, Maria M. Von Chamier

Affiliation: University of Florida

Abstract Preview: Purpose: In preclinical studies, minipigs serve as valuable experimental models for predicting absorbed doses due to their anatomical and physiological similarities to humans. However, minipig computa...