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Results for "test application": 62 found

3D Image Quality Evaluation of a New CT Scanner Employing 3D Landmark Scans, Super Resolution Reconstruction, and Ag Beam Filtration

Authors: Ishika Bhaumik, John M. Boone, Michael T Corwin, Eric S Diaz, Ahmadreza Ghasemiesfe, Andrew M. Hernandez, Sarah E. McKenney, Misagh Piran, Ali Uneri, Eric L White

Affiliation: UC Davis, UC Davis Health, University of California, Johns Hopkins Univ

Abstract Preview: Purpose: A new model CT scanner (Canon Aquilion One Insight) was recently installed at our institution, and it included a 3D Landmark (3DLM) scan for automatic scan planning, a new deep learning recon...

A Clinical Evaluation of Two Commercially Available Deep-Learning Algorithms for Automated Organs at Risk Contouring

Authors: Steven DiBiase, Gurtej S. Gill, Haohua Billy Huang, Nicholas J. Lavini, Luxshan Shanmugarajah, Salar Souri, Samantha Wong

Affiliation: Stony Brook University, Northwell Health, Cornell University, NewYork-Presbyterian, New York-Presbyterian

Abstract Preview: Purpose: Clinical applications of deep learning-based algorithms have come to the radiation oncology field as organ at risk (OAR) auto contouring programs. We evaluated two of these algorithms’ (Radfo...

A Clinically Aligned Embedding Model for Glioma Prognostication Via Radiology-Pathology Report Matching

Authors: Steve Braunstein, Yannet Interian, Hui Lin, Bo Liu, Janine Lupo, Olivier Morin, Benedict Neo

Affiliation: Radiation Oncology, University of California San Francisco, Graduate Program in Bioengineering, University of California San Francisco-UC Berkeley, Department of Radiation Oncology, University of California San Francisco, Department of Data Science, University of San Francisco, University of San Francisco

Abstract Preview: Purpose: Large Language Models (LLMs) demonstrate strong general text comprehension but remain limited in oncology due to insufficient contextual alignment. We pilot embedding alignment through radiol...

A Hybrid Transformer-CNN for Tracking-Free 3D Ultrasound Volume Reconstruction from 2D Freehand Scans

Authors: Wenfeng He, Tian Liu, Pretesh Patel, Richard L.J. Qiu, Keyur Shah, Tonghe Wang, Xiaofeng Yang, Chulong Zhang

Affiliation: Icahn School of Medicine at Mount Sinai, Emory University, Medical Physics Graduate Program, Duke Kunshan University, Memorial Sloan Kettering Cancer Center, Department of Radiation Oncology and Winship Cancer Institute, Emory University

Abstract Preview: Purpose: This study introduces a tracking-free approach to reconstruct 3D ultrasound (US) volumes from 2D freehand US scans. By eliminating the reliance on external tracking systems, this method aims ...

A Novel Integrated Framework for Rapid Automatic Calculation of Organ Absorbed Dose from kV-CBCT Imaging during Radiotherapy

Authors: Marios Myronakis, Kyriaki Theodorou

Affiliation: Medical Physics Department, Medical School, University of Thessaly

Abstract Preview: Purpose: The development of an integrated application framework for rapid, seamless, and automated calculation of absorbed organ dose for individual patients undergoing kV CBCT imaging over the course...

A Novel Proton Lattice Modality Using Minibeams

Authors: Hao Gao, Yuting Lin, Nimita Shinde, Weijie Zhang

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

Abstract Preview: Purpose: LATTICE, a form of spatially fractionated radiation therapy (SFRT), delivers high-dose peaks and low-dose valleys to the target volume and has been clinically used for large target volumes. H...

A Quantitative Metric for Evaluating Treatment Plan Robustness in Intensity Modulated Proton Therapy

Authors: Grant Evans, Maxwell Arthur Kassel, Charles Shang, Stephen Shang

Affiliation: South Florida Proton Therapy Institute, SFPRF

Abstract Preview: Purpose: Proton pencil beam scanning therapy is particularly sensitive to field translational shifts and beam range variations, which can degradation of dose distribution and compromise the treatment....

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...

AI-Based SBRT Dose Prediction Directly from Diagnostic PET/CT: Applications for Multi-Disciplinary Lung Cancer Care

Authors: Pradeep Bhetwal, Wookjin Choi, Adam Dicker, Rupesh Ghimire, Yingcui Jia, Lauren Nkwonta, Yevgeniy Vinogradskiy, Wentao Wang, Maria Werner-Wasik

Affiliation: Thomas Jefferson University

Abstract Preview: Purpose: Multi-disciplinary clinics are becoming standard of care for patients with lung cancer treated with SBRT. To improve clinical decision support in a multi-disciplinary clinic, it would be bene...

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

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

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

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

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

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

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

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

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

An Automated Tool for the Categorization of a Clinical Database By Anatomic Region for Big Data Applications

Authors: Yasin Abdulkadir, Justin Hink, James M. Lamb, Jack Neylon

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

Abstract Preview: Purpose: Curation remains a significant barrier to the use of ‘big data’ radiotherapy planning databases of 100,000 patients or more. Anatomic site of treatment is an important stratification for almo...

Automated Multimodal Image Registration for Prostate Bed Radiation Treatment

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

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

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

Automated Review of Radiation Treatment Delivery Reports Using Openai

Authors: Ramesh Boggula, Nikhil Jordan Shad

Affiliation: Wayne State University

Abstract Preview: Purpose: To evaluate the effectiveness of OpenAI in reviewing large volumes of radiation delivery reports from Mobius3D/FX. The goal was to assess whether automating this process could identify potent...

BEST IN PHYSICS IMAGING: Revolutionizing Neurocognitive Dynamic Pattern Discovery with Self-Supervised AI in Functional Brain Imaging

Authors: Lei Xing, Zixia Zhou

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

Abstract Preview: Purpose: Functional brain imaging techniques, such as functional magnetic resonance imaging (fMRI), generate high-dimensional, dynamic data reflecting complex neural processes. However, extracting rob...

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

Authors: Xianjin Dai, PhD, Zhuoran Jiang, Lei Ren, Lei Xing, Zhendong Zhang

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

Abstract Preview: Purpose: Unsupervised deep learning has shown great promise in deformable image registration (DIR). These methods update model weights to optimize image similarity without necessitating ground truth d...

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...

Cloud Workflow AI Apps for Radiotherapy Image Analysis Using Pycerr and Seven Bridges-Cancer Genomics Cloud

Authors: Aditya P. Apte, Joseph O. Deasy, Sharif F. 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 publicly shareable applications (apps) for AI-based radiotherapy segmentation workflows with pyCERR on Seven Bridges Cancer Genomics Cloud-based platform (CGC-SB)
Methods: Runni...

Conformal Flash for Large Treatment Fields

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

Affiliation: RaySearch Laboratories AB, Ion Beam Applications SA

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

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

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

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

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

Deep-Dive Comparative Assessment between Digitally Reconstructed Radiographs and X-Ray Digital Radiographs from Lung CT Scans

Authors: Xinyi Fu, Dan Ruan, Ke Sheng

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

Abstract Preview: Purpose:
Digitally reconstructed radiographs (DRRs) are easy to generate and widely used to establish research protocols in pulmonary diagnosis and image-guided radiotherapy tasks. A question remai...

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

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

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

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

Demographic Attributes of the Train-Test Sets and Their Impact on AI Performance: Medical Imaging Applications

Authors: Maryellen L. Giger, Fahd Hatoum, Robert Tomek, Heather M. Whitney

Affiliation: The University of Chicago

Abstract Preview: Purpose: To assess the importance of applying stratified sampling across demographic attributes (including age, sex, race, and ethnicity) when constructing training and testing datasets for ML-based d...

Demystifying Magnetic Resonance Imaging: Targeted Educational Initiatives for Medical Physicists in Türkiye and Preclinical Medical Students in the United States

Authors: Samuel A. Einstein, Jesutofunmi Fajemisin, Evren O. Göksel, Görkem O. Güngör, Marthony Robins, Travis C. Salzillo, Charles R. Thomas, Turgay Toksay, Joseph Weygand, Yue Yan

Affiliation: Acibadem MAA University, Department of Radiation Oncology and Applied Science, Dartmouth Health, Dartmouth College, Moffitt Cancer Center, Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Penn State College of Medicine, Bursa Ali Osman Sönmez Oncology Hospital

Abstract Preview: Purpose: Magnetic resonance imaging (MRI) is an indispensable clinical tool, offering unparalleled soft tissue contrast critical for diagnosing and managing a wide range of conditions. However, its co...

Denoising Diffusion-Weighted Images of Rectal Cancer Acquired on a 0.35 T Magnetic Resonance Imaging-Guided Linear Accelerator Using Singular Value Decomposition

Authors: Jacqueline M. Andreozzi, Tess Armstrong, Shiva Bhandari, John M Bryant, Jessica M Frakes, David J. Gladstone, Sarah E Hoffe, Kujtim Latifi, Arash Naghavi, Steven Nichols, Ibrahim M. Oraiqat, Russell Palm, Gage H. Redler, Stephen A Rosenberg, Joseph Weygand

Affiliation: Department of Radiation Oncology and Applied Science, Dartmouth Health, Thayer School of Engineering, Dartmouth College, Department of Radiation Oncology, Ohio State University, Moffitt Cancer Center, Department of Radiation Oncology, Moffitt Cancer Center

Abstract Preview: Purpose: The MR-linac provides unique opportunities for integrating advanced imaging into radiotherapy workflows, but the lower sensitivity of systems like the 0.35T model can pose challenges for diff...

Design and Construction of a Geometrical and Head Phantom with Internal Carotid Inserts for Flow Simulation in Image-Derived Input Function with 3T and 7T MR-Brainpet Insert Studies.

Authors: Dirk Grunwald, Hans Herzog, Hidehiro Iida, N. Jon Shah, Usman Khalid, Manfred Lennartz, Philipp Lohmann, Ceren Memis, Tobias Meurer, Claudia Regio Brambilla, Jürgen Scheins, Lutz Tellmann, Christoph W. Lerche, Martin Wiesmann, Karl Ziemons

Affiliation: FH Aachen University of Applied Sciences, Department of Chemistry and Biotechnology, Clinic for Diagnostic and Interventional Neuroradiology, Uniklinik Aachen,, Institute of Neuroscience and Medicine (INM-4), Forschungszentrum Jülich GmbH, Institute of Neuroscience and Medicine (INM-4), Forschungszentrum Jülich GmbH,, Central Institute for Engineering, Electronics and Analytics (ZEA-1), Forschungszentrum, Turku PET Center, Institute of Biomedicine, Faculty of Medicine, University of Turku,

Abstract Preview: Purpose: Quantitative brain studies with positron emission tomography (PET) often require an arterial input function (AIF), which traditionally requires arterial cannulation. However, this is invasive...

Design, Optimization, and Preclinical Validation of a Novel Applicator Integrating Real-Time Dose Monitoring for Ultra-High Dose Rate (FLASH) Electron Radiotherapy

Authors: Javier Chiasson, Dominique Guillet, Arthur Lalonde, Bryan R. Muir, James Renaud, Karim Zerouali

Affiliation: Universite de Montreal, Centre Hospitalier de l'Universite de Montreal, National Research Council

Abstract Preview: Purpose: To develop, optimize and validate a novel applicator for ultra-high dose rate (UHDR) electron radiotherapy incorporating an electrostatically shielded beam current transformer (BCT) for real-...

Developing an AI-Driven Predictor for Forecasting Treatment Outcomes in Patients with Early-Stage Breast Cancer

Authors: Lucy Jiang, Chengyu Shi

Affiliation: Department of Radiation Oncology, City of Hope Orange County, Amity Regional High School (10th Grade)

Abstract Preview: Purpose: Early-stage breast cancer is common among females, with typically high local tumor control rates (LCR). Brachytherapy is a common way to achieve LCR following surgery. However, the patients m...

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

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

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

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

Development of a Comprehensive Thoracic Re-Irradiation Database and Investigation of Time-Dependent Dose-Recovery Dynamics for Toxicity Modeling

Authors: Victoria Doss, Tsion Gebre, Rachel B. Ger, Esi A Hagan, Elaina Hales, Russell K Hales, Xun Jia, Heng Li, Dezhi Liu, Todd R. McNutt, Meti Negassa, Anas Obaideen, Tinker Trent, K. Ranh Voong, Cecilia FPM de Sousa

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

Abstract Preview: Purpose: As cancer care advances, more patients require re-irradiation, yet evidence-based data is lacking. This study aimed to develop a thoracic re-irradiation database and explore time-dependent re...

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...

Establishing a Protocol for Quality Assessment of Ultrasound Shear Wave Elastography (SWE) and Application to a Musculoskeletal (MSK) Task

Authors: Kevin M Brom, Jaydev K. Dave, Chunming Gu, Nicholas J. Hangiandreou, Zaiyang Long, Donald J Tradup

Affiliation: Mayo Clinic

Abstract Preview: Purpose: Ultrasound scanner onboard quality checks for shear wave elastography (SWE) rely on operator judgement and are insufficient. This study aims to establish a protocol for quality assessment and...

Estimation of Pixel-Specific Contributions to Hotelling’s T2 to Create Detailed Student's t2 Maps of Complex Test Objects: Application to Pediatric Implantable Devices

Authors: Kenneth A. Fetterly

Affiliation: Mayo Clinic

Abstract Preview: Purpose: Among the limitations of channelized Hotelling T2 type model observers (CHO) applied to medical imaging systems is that they reduce 2D image detail to a singular value and are only applicable...

Evaluation of a Novel Multimodal Deformable Image Registration Algorithm for Pelvic MRI-CT Fusion in Radiotherapy

Authors: Christian Fiandra, Marco Fusella, Gianfranco Loi, Silvia Pesente, Lorenzo Placidi, Claudio Vecchi, Orlando Zaccaria, Stefania Zara

Affiliation: Abano Terme Hospital, University of Turin, Maggiore della Carità, Tecnologie Avanzate Srl, Fondazione Policlinico Universitario Agostino Gemelli IRCCS

Abstract Preview: Purpose: Deformable-image-registration (DIR) is essential in modern radiotherapy for adaptive RT, re-irradiation, and other clinical applications. Multimodal DIR is especially important in MRI-only wo...

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...

Generalization of the Conformity Index for Multi-Target Radiotherapy Plans

Authors: Jianrong Dai, Jun Dang, Enzhuo Quan, Yong Sang, Jianan Wu

Affiliation: Cancer Hospital Chinese Academy of Medical Sciences, Shenzhen Center, National Cancer Center / National Clinical Research Center for Cancer / Cancer Hospital & Shenzhen Hospital / Chinese Academy of Medical Sciences and Peking Union Medical College, Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College

Abstract Preview: Purpose: The current conformity index (CI) formula is distorted for radiotherapy plans with multiple, non-enclosing targets. We redefined the volume of reference isodose (VTV) parameter in the CI form...

Geographic Disparities in Medical Physics Training and Employment: Implications for Rural Workforce Recruitment

Authors: Seth Amofa, Erli Chen, Samuel A. Einstein, Ekinadoese Imudia Frias, Nupur Karmaker, Yinus Kawthara, Dulguun Myagmarsuren, Travis C. Salzillo, Joseph Weygand, Afua A. Yorke

Affiliation: Department of Radiation Oncology and Applied Science, Dartmouth Health, University of Washington, Federal University Oye-Ekiti, Cheshire Medical Center, Dartmouth College, Penn State College of Medicine, Dept. of Medical Physics and Biomedical Engineering, Gono Bishwabidyalay, Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Virginia Tech Carilion School of Medicine

Abstract Preview: Purpose: Recent developments in the medical physics job market have made it increasingly difficult for radiotherapy centers, particularly in rural areas, to recruit qualified therapeutic medical physi...

High-Fidelity Monte-Carlo Model Development and Validation of a 0.5T Bi-Planar Linac-MR Using Topas: Multileaf Collimator Modeling, Positioning, and Dose Verification in Slab Phantoms

Authors: B. Gino Fallone, Alireza Gazor, Andrei D. Ghila, Gawon Han, Patricia A. K. Oliver, Michael W. Reynolds, Keith D. Wachowicz, Tania Rosalia Wood, Shima Y. Tari, Eugene Yip

Affiliation: Medical Physics Division, Department of Oncology, University of Alberta, Nova Scotia Health, Dept. of Medical Physics and Dalhousie University, Dept. of Physics and Atmospheric Science, Dept. of Radiation Oncology, Dept. of Medical Physics, Cross Cancer Institute and Dept. of Oncology, University of Alberta; MagnetTx Oncology Solutions, www.magnetTX.com, Department of Medical Physics, Arthur J. E. Child Comprehensive Cancer Centre, Dept. of Medical Physics, Cross Cancer Institute and Dept. of Oncology, University of Alberta, Department of Medical Physics, BC Cancer, Medical Physics Division, Department of Oncology, University of Alberta and Department of Medical Physics, Cross Cancer Institute

Abstract Preview: Purpose: To develop and validate a high-fidelity Monte-Carlo (MC) model of a 0.5T bi-planar Linac-MR in TOPAS, focusing on accurate Multileaf Collimator (MLC) modelling and positioning for open apertu...

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

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

Affiliation: GuangZhou Concord Cancer Center, Guangzhou Concord Cancer Center, 广州泰和肿瘤医院

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

Innovative Design and Simulation of a Pediatric-Dedicated SPECT: Enhancing Imaging Performance for a Healthier Scans in Children

Authors: Mohammadreza Ay, Nahal Daneshgar, Nima Kasraie, Abbas Monsef, Zeinab Peymani, Hadi Rezaei, Peyman Sheikhzadeh

Affiliation: University of Minnesota Medical School, Radiation Oncology, Department of Nuclear Medicine, Shariati Hospital, Tehran University of Medical Sciences, Shiraz University of Medical Sciences, Department of Medical Physics, Tehran University of Medical Sciences, Department of Medical Physics and Biomedical Engineering, UT Southwestern Medical Center, Imam Khomeini Hospital Complex,Tehran University of Medical Sciences

Abstract Preview: Purpose:
This study aims to design and simulate an innovative pediatric-dedicated SPECT scanner optimized for children’s unique anatomical and safety needs by enhancing sensitivity in data acquisit...

Innovative Workflow for Enhanced in-Vivo Dosimetry Using Gafchromic Film

Authors: Salim Balik, Nguyen Phuong Dang, Hualin Zhang

Affiliation: Radiation Oncology, Keck School of Medicine of USC

Abstract Preview: Purpose: An accurate and convenient monitoring of radiation dose delivery during treatment is essential for ensuring patient safety and treatment efficacy. This project aims to develop innovative algo...

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

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

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

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

Investigation of the Diagnostic Quality of Chest X-Rays Simulated from CT

Authors: Matthew R. Hoerner, Allison Shields

Affiliation: Yale University School of Medicine, Yale University

Abstract Preview: Purpose: To investigate the quality and clinical utility of chest x-rays synthesized from CT scans (sCXR).
Methods: Five helical chest CT exams were chosen for evaluation: this cohort represented a...

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...

Lung Nodule Volume Estimation: Performance of Conventional Energy-Integrating and Cdznte-Photon-Counting CT Using Hybrid Reconstruction Method

Authors: Gisell Ruiz Boiset, Paulo ROBERTO Costa, Luuk J Oostveen, Elsa Bifano Pimenta, Ioannis Sechopoulos, Alessandra Tomal

Affiliation: Radboud University Medical Center, University of São Paulo (USP), Institute of Physics, Universidade Estadual de Campinas. Instituto de Física Gleb Wataghin

Abstract Preview: Purpose: The study evaluated the accuracy and precision of lung nodule volume measurements, specifically solid nodules (SNs) and ground-glass opacities (GGOs) in different imaging settings.
Methods...

Material Modulated 3D Printed Human-Tissue Simulant Phantoms for Radiation Therapy Modeling and Safety

Authors: Joseph A. Moore, Paul Rothweiler, Jussi K. Sillanpaa, Adhvaith Sridhar

Affiliation: University of Minnesota

Abstract Preview: Purpose: To investigate 3D printed human tissue simulant phantoms for use in radiation therapy and to quantify the mechanical and radiation properties of these phantoms.
Methods: We designed and 3D...

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 ...

Modernization of the NIST Air-Kerma Strength Standard for LDR Brachytherapy Seeds

Authors: Michael G. Mitch, Csilla I. Szabo-Foster

Affiliation: National Institute of Standards and Technology

Abstract Preview: Purpose: The U.S. air-kerma strength standard for low-dose-rate (LDR) low-energy photon-emitting brachytherapy sources provides measurement traceability for calibrations at the AAPM Accredited Dosimet...

Multi-Modality Artificial Intelligence for Involved-Site Radiation Therapy: Clinical Target Volume Delineation in High-Risk Pediatric Hodgkin Lymphoma

Authors: Tyler J Bradshaw, Sharon M Castellino, Steve Y Cho, David Hodgson, Bradford S Hoppe, Kara M Kelly, Andrea Lo, Sarah Milgrom, Xin Tie

Affiliation: Department of Radiation Oncology, University of Toronto, Department of Radiology, University of Wisconsin, University of Colorado Anschutz, Department of Medical Physics, University of Wisconsin, Department of Radiation Oncology, Mayo Clinic, Department of Radiation Oncology, BC Cancer, Vancouver Center, Department of Radiology, University of Wisconsin - Madison, Roswell Park Comprehensive Cancer Center, Emory University School of Medicine

Abstract Preview: Purpose: Clinical target volume (CTV) delineation for involved-site radiation therapy (ISRT) in Hodgkin lymphoma (HL) is time-consuming due to the need to analyze multi-time-point PET/CT scans co-regi...

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...

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...

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...

Precision Radiotherapy Dose Prediction Using Foundation Model-Augmented Learning

Authors: Hilary P Bagshaw, Mark K Buyyounouski, Xianjin Dai, PhD, Praveenbalaji Rajendran, Lei Xing, Yong Yang

Affiliation: Department of Radiation Oncology, Stanford University, Massachusetts General Hospital, Harvard Medical School

Abstract Preview: Purpose: Artificial intelligence (AI)-driven methods have transformed dose prediction, streamlining the automation of radiotherapy treatment planning. However, traditional approaches depend exclusivel...

Preliminary Evaluation of Ultrasound-Derived Fat Fraction Reliability in a Pediatric Cohort

Authors: Lizbeth Ayala-Dominguez, Aaron L Carrel, Diego Hernando, Gabrielle L Hoffmann, Amber Possell, Ivan M. Rosado-Mendez, Jiayi Tang, Andrew Wentland

Affiliation: Department of Pediatrics, University of Wisconsin-Madison, Department of Radiology, University of Wisconsin-Madison, Department of Medical Physics, University of Wisconsin-Madison, Departments of Medical Physics and Radiology, University of Wisconsin-Madison

Abstract Preview: Purpose: Metabolic dysfunction-associated steatotic liver disease (MAFLD) is the leading cause of chronic liver disease in children. While biopsy remains the diagnostic standard, non-invasive imaging ...

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...

Research on Glioma MRI Image Generation Based on Large Language Model and Diffusion Model

Authors: Xiangli Cui, Chi Han, Man Hu, Wanli Huo, Xunan Wang, Jianguang Zhang, Yingying Zhang

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

Abstract Preview: Purpose:
Medical image generation has broad application prospects in deep learning, but the model training effect is often limited due to the lack of real image data. This study aims to explore the...

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...

Spectral CT Assessment of 3D Printing Techniques for Improving the Uniformity and Reproducibility of Models Applied in Medical Imaging

Authors: Izabella L. Barreto, Benjamin Taylor Heggie, Stephanie M. Leon

Affiliation: University of Florida College of Medicine, University of Florida

Abstract Preview: Purpose: Filament deposition modeling (FDM) 3D printers may utilize proprietary calibration methods inadequate for medical imaging. Proper techniques are necessary to achieve imaging uniformity standa...

Spherical Slicing and Convolutions for Accurate Glioma Tumor Segmentation Using Multi-Parametric MRI

Authors: Ke Lu, Chunhao Wang, Ruoxu Xia, Zhenyu Yang, Fang-Fang Yin, Chulong Zhang, Lei Zhang, Rihui Zhang, Jingtong Zhao, Haiming Zhu

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

Abstract Preview: Purpose: The human brain’s spherical geometry offers unique opportunities for improving the segmentation of tiny and irregular anatomical structures. We hypothesize that representing the brain in sphe...

Topas-Nbio – Status and Outlook after a Decade of Developments

Authors: Alejandro Bertolet, Jorge Naoki Dominguez Kondo, Bruce A. Faddegon, Kathryn D Held, Nicolas Henthorn, Jay LaVerne, Thongchai Masilela, Stephen J. McMahon, Isaac Meyer, Victor V. Onecha, Harald Paganetti, Jose A. Ramos-Mendez, Jan PO Schuemann, Wook-Geun Shin, Michael Taylor, John Warmenhoven

Affiliation: Massachusetts General Hospital, Queen's University Belfast, Massachusetts General Hospital and Harvard Medical School, University of California San Francisco, University of Manchester, Notre Dame University

Abstract Preview: Purpose: TOPAS-nBio brings a cutting-edge Monte Carlo (MC) simulation framework to the research community to test hypotheses of radiation effects at the nanometer/cell scale. Here, we present the deve...

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

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

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

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

Utilizing All Acquired Images from Fluoroscopically-Guided Interventions: Test Application with Event-By-Event Patient Dosimetry Calculations

Authors: Sagine Berry-Tony, Lasya Daggumati, James R Duncan, Melak Senay, Allan Thomas

Affiliation: University of Missouri-Kansas City School of Medicine, Mallinckrodt Institute of Radiology, Washington University School of Medicine, Washington University in St. Louis

Abstract Preview: Purpose: Most acquired images in FGIs are not permanently archived. In the context of modern computational prowess, novel improvements to FGI practice likely sit just under the surface of large-scale ...