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Results for "segment segment": 63 found

A Beagle Dog Mesh-Type Phantom for Application to Nuclear Medicine and Internal Dosimetry

Authors: Wesley E. Bolch, Natalia Estefania Carrasco-Rojas, Chansoo Choi, Robert Joseph Dawson, Aitor Gallastegui Menoyo, Rowan James Milner, Bangho Shin, Maria M. Von Chamier

Affiliation: University of Florida

Abstract Preview: Purpose: To develop a tetrahedralizable mesh-type phantom of a male beagle dog to later perform Monte Carlo radiation transport simulations and calculate organ doses using monoenergetic photons, elect...

A Comparison of Segment-By-Segment Versus Cumulative Signal Evaluation for Patient-Specific QA Using the Integral Quality Monitor

Authors: John J. DeMarco, Farideh Pak, Olivia Grahm C Valadie

Affiliation: Cedars Sinai, Cedars-Sinai, Cedars-Sinai Medical Center

Abstract Preview: Purpose: To investigate the performance of the Integral Quality Monitor (IQM) device for patient-specific QA, focusing on segment-by-segment signal evaluation compared to cumulative signal evaluation....

A Comparison of on-Isocenter Vs Off-Isocenter Planning for Lung SBRT on the Viewray Mridian

Authors: Nebi Demez, Shyam Pokharel, Suresh Rana, Lauren A. Rigsby, Tino Romaguera, Nishan Shrestha

Affiliation: Lynn Cancer Institute, Boca Raton Regional Hospital, Baptist Health South Florida

Abstract Preview: Purpose: Treatment plans on the ViewRay MRIdian are often planned with the target placed off isocenter due to the proximity of the bore to the patient, allowing for limited shifts. This is especially ...

A Method to Estimate Tumor Motion with Respiration Based on CBCT Projections

Authors: Jie Liu

Affiliation: Inova Health System

Abstract Preview: Purpose:
The respiratory signal commonly acquired by using external surrogates or detecting the diaphragm position only represents the phase information and has poor correlation with the tumor moti...

A Novel Method for Virtual Extension of Image-Derived Vasculature Segmentations

Authors: Raneem Atta, Alejandro Bertolet, Mislav Bobić, Wesley E. Bolch, Robert Joseph Dawson, Carlos Huesa-Berral, Harald Paganetti, Eric Wehrenberg-Klee

Affiliation: Massachusetts General Hospital, University of Florida, Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Massachusetts General Hospital and Harvard Medical School, Department of Radiology, Massachusetts General Hospital and Harvard Medical School

Abstract Preview: Purpose: Representations of intra-organ vasculature have a variety of uses in the field of computational dosimetry but generally rely on models derived from population-averaged reference individuals. ...

A Plan Complexity Comparison between Monaco and Eclipse - Meta Analysis of 17,000 Plans and 30,000 Beams

Authors: Christopher Colyer, Leon F Dunn, Jonathan Dunning, Simon Goodall, Andy Schofield

Affiliation: GenesisCare

Abstract Preview: Purpose: Modern radiotherapy is characterized by complex treatment plans utilizing dynamic MLCs, gantry positions and recently, collimator rotations. The purpose of this work was to compare the plan c...

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 Semi-Automated Landmark Identification Framework for Liver MR-CT Image Pairs: Towards a Multi-Modality DIR Benchmark Dataset

Authors: Deshan Yang, Zhendong Zhang

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

Abstract Preview: Purpose:
The evaluation of deformable image registration (DIR) algorithms is crucial for improving accuracy and clinical adoption. However, reliable benchmarks, especially for inter-modality regist...

A Window-Level Based Approach for Generating Missing Tissue in CT Scans Using a Transformer-Gan Model

Authors: Mojtaba Behzadipour, Siyong Kim, Mitchell Polizzi, Richard R. Wargo, Lulin Yuan

Affiliation: VCU Health - Department of Radiology, Virginia Commonwealth University

Abstract Preview: Purpose:
The purpose of this study is to develop a method for generating missing tissue in CT scans of patients with large body sizes, where the field of view (FOV) of the scanner fails to capture ...

AI-Assisted 3D Microscale Mesh Models of Human Lungs from Iodine-Stained Serial-Sectioned Histology Images and Their Dosimetry Applications

Authors: John P. Aris, Wesley E. Bolch, Robert Joseph Dawson, Bonnie N. C. President, Yitian Wang

Affiliation: Johns Hopkins University, University of Florida

Abstract Preview: Purpose: Generation of a mesh-based microscale lung model is essential for accurate dosimetry analysis. Lungs exchange air with the environment and may be exposed to alpha-particle-emitting radionucli...

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...

Advancing Biodosimetry with AI: Detecting Dicentric Chromosomes Using Convolutional Neural Networks

Authors: Adayabalam Balajee, Elijah Berberette, Maria Escalona, Dray Gentry, Chester R. Ramsey, Terri Ryan

Affiliation: ORAU, Thompson Proton Center, University of Tennessee

Abstract Preview: Purpose:
Dicentric chromosomes, characterized by two centromeres on a single chromosome, are key biomarkers in biological dosimetry for quantifying ionizing radiation exposure. However, manual dete...

Analysis of Collimation during Fluoroscopically-Guided Interventions: Using a Large-Scale Archive to Assess Collimation during Different Procedures

Authors: James R Duncan, Nikhat Fatima Mansoori, Allan Thomas

Affiliation: Mallinckrodt Institute of Radiology, Washington University School of Medicine

Abstract Preview: Purpose: Collimation during fluoroscopically-guided interventions (FGIs) can not only reduce radiation exposure to patients and personnel but also improve image quality. Nonetheless, there are concern...

Assessing Breast Cancer Tumor Segmentability on an Investigational, Double-Bolus, Prone-to-Supine Breast MRI Protocol for Surgical Guidance.

Authors: Richard J Barth, Brook Kennedy Byrd, Roberta DiFlorio-Alexander, Misty J Fox, Venkat Krishnaswamy, Keith D. Paulsen, Timothy B Rooney

Affiliation: Cairn Surgical Inc., Dartmouth Health, Thayer School of Engineering, Dartmouth Hitchcock Medical Center, University of Virginia Health, CairnSurgical Inc.

Abstract Preview: Purpose: Supine breast MRI enables precise surgical planning with demonstrated benefit in decreasing positive margin rates during BCS. However, acquiring supine breast MRI scans in a secondary imaging...

Assessing Low Iodine Concentrations in Liver Lesions with Dual Energy CT: Impact of Beam Choices

Authors: Xinhua Li, Vu Nguyen, Yifang (Jimmy) Zhou

Affiliation: Cedars-Sinai Medical Center

Abstract Preview: Purpose: Assessing iodine concentration in liver lesions is essential for evaluating contrast enhancement in multi-phase liver CT and for accurate disease diagnosis. This study aims to evaluate the as...

Automated Full-Body Tumor Segmentation from PET/CT Images

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

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

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

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

Authors: Kyle J. Wang, Yading Yuan

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

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

Automatic 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...

Automatic Tumor Segmentation and Catheter Detection from MRI for Cervical Cancer Brachytherapy Using Uncertainty-Aware Dual Convolution-Transformer Unet

Authors: Majd Antaki, Rohini Bhatia, Gayoung Kim, Yosef Landman, Junghoon Lee, Akila N. Viswanathan

Affiliation: Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Physics and Advanced Development Elekta

Abstract Preview: Purpose: Brachytherapy is a standard radiation therapy approach for cervical cancer, which directly delivers radiation source to the tumor using catheters. Treatment planning requires identification o...

Automating Radiographic Sharp Score Prediction in Rheumatoid Arthritis Using Multistage Deep Learning Methods

Authors: Hajar Moradmand, Lei Ren

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

Abstract Preview: Purpose:
The Sharp-van der Heijde (SvH) score is essential for assessing joint damage in rheumatoid arthritis (RA) from radiographic images. However, manual scoring is time-intensive and prone to v...

Box-Prompt Zero-Shot Smart Segmentation in Radiation Oncology Using a SAM-Based Model: Smartsam

Authors: Kristen A. Duke, Samer Jabor, Neil A. Kirby, Parker New, Niko Papanikolaou, Arkajyoti Roy, Yuqing Xia

Affiliation: St. Mary's University, The University of Texas San Antonio, UT Health San Antonio

Abstract Preview: Purpose:
The Segment Anything Model (SAM) is a foundational box-prompt-based model for natural image segmentation. However, its applicability to zero-shot 3D medical image segmentation, particularl...

Brain Vessel Segmentation and Tracking in Longitudinal Glioblastoma MRI Scans

Authors: Evan Calabrese, Edward Robert Criscuolo, Deshan Yang

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

Abstract Preview: Purpose: Glioblastoma (GBM) is the most common and aggressive form of brain cancer. Deformable image registration (DIR) is a powerful tool to compute anatomical changes in longitudinal MRI scans, whic...

Breast Fascial Ligament Characterization Using Cryo-Fluorescence Tomography Imaging

Authors: Taylor A Beal, Kari J. Brewer Savannah, Kristy K. Brock, Alejandro Contreras, Natalie W Fowlkes, Megan Kalambo, Gregory P Reece, Erin P Snoddy, Tien T Tang

Affiliation: The University of Texas MD Anderson Cancer Center, Baylor College of Medicine

Abstract Preview: Purpose: Current anatomical and surgical research does not adequately detail the breast fascial system’s ligaments and connective tissues. Most available information stems from cadaver dissections, wh...

Clinical Validation of AI-Driven Segmentation Model for Pediatric Craniospinal Irradiation: Marked Reduction in Contouring Time and Enhanced Workflow Efficiency

Authors: Alexander Choi, William Ross Green, Christine Hill-Kayser, Gary D. Kao, Michael LaRiviere, Rafe A. McBeth, Steven Philbrook

Affiliation: Department of Radiation Oncology, University of Pennsylvania

Abstract Preview: Purpose: To validate the potential of clinical deployment of an in-house AI-driven auto-segmentation tool for pediatric craniospinal irradiation (CSI) in proton therapy, with goals of reducing manual ...

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...

Comparitive Case Analysis of Maa Mapping and Angiographic Iodinated Contrast for Y-90 SIRT Treatment Planning

Authors: Shengwen Deng, Sven L. Gallo, Robert S. Jones, David W. Jordan, Arashdeep Kaur, Aishwarya M. Kulkarni, Quibai Li, William R.M. Pedersen

Affiliation: Department of Radiology, University Hospitals Cleveland Medical Center; School of Medicine, Case Western Reserve University, Department of Radiology, Radiation Safety, University Hospitals Cleveland Medical Center, Department of Radiology, Radiation Safety, University Hospitals Cleveland Medical Center; School of Medicine, Case Western Reserve University; Department of Radiology, Louis Stokes Cleveland VA Medical Center

Abstract Preview: Purpose:
Y-90 (Yttrium) SIRT radioembolization takes advantage of delivering localized radiation to the liver. Pre-treatment dosimetry is highly dependent on accurate MAA mapping, which may have an...

Contrastive Learning and Hybrid CNN-Transformer Model for Unpaired MR Image Synthesis in Acute Cerebral Infarction

Authors: Kota Hirose, Daisuke Kawahara, Jokichi Kawazoe, Yuji Murakami

Affiliation: Department of Radiation Oncology, Graduate School of Biomedical and Health Sciences, Hiroshima University, Graduate School of Biomedical and Health Sciences, Hiroshima University

Abstract Preview: Purpose: Synthesizing medical images can address the lack of or unscanned medical images, reducing scanner time and costs. However, paired image scarcity remains a challenge for image synthesis. We pr...

Development of a Physical Phantom for Assessing Tube Current Modulation in CT Imaging

Authors: Jared Baggett, Wesley E. Bolch, Lukas M. Carter, Laura Dinwiddie, Benjamin Taylor Heggie, Adam Leon Kesner, Juan Camilo Ocampo Ramos, Graham Joseph Stoddard

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

Abstract Preview: Purpose: The objective of this study is to develop a physical phantom to quantify tube current modulation (TCM) and assess the limitations of a TCM model used in Monte Carlo patient CT organ dose esti...

Enhancing Image Quality in Acoustic Imaging Using the Segment Anything Model (SAM)

Authors: Jadon Buller, Zhuoran Jiang, Yankun Lang, Lei Ren, Leshan Sun, Liangzhong Xiang, Yifei Xu

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

Abstract Preview: Purpose: Electroacoustic tomography (EAT) and Protoacoustic (PA) imaging are novel modalities for treatment verification of electroporation and proton therapy. However, the limited acquisition angle i...

Evaluating Deep Learning Models for Accurate Segmentation of GTV and Oars in MR-Guided Adaptive Radiotherapy for Pancreatic Cancer

Authors: Christopher G. Ainsley, Pradeep Bhetwal, Yingxuan Chen, Wookjin Choi, Vimal K. Desai, Karen E. Mooney, Adam Mueller, Hamidreza Nourzadeh, Yevgeniy Vinogradskiy, Maria Werner-Wasik

Affiliation: Thomas Jefferson University

Abstract Preview: Purpose: MR-guided adaptive radiotherapy (MRgART) has demonstrated improved outcomes for patients with pancreatic cancer. However, the time-consuming re-segmentation of targets and organs-at-risk (OAR...

Evaluation of Potential Dosimetric Risks from Intra-Fractional Motion in Single-Isocenter Stereotactic Radiosurgery

Authors: Brian D. Casto, Mathew Y Kang, Lichung Ku, Samuel J Wang, Joseph B. Ying, Walker Ray Zimmerman

Affiliation: Salem Health Cancer Center, Salem Health

Abstract Preview: Purpose: Varian HyperArc is an advanced radiotherapy module designed to efficiently deliver high-quality multi-target stereotactic radiosurgery (SRS) treatment plans on Varian linacs. However, the int...

Exploring the Compatibility of VMAT and Respiratory Beam Gating on MR-Linac: A Proof-of-Concept Study

Authors: Caiden Atienza, Pim T. S. Borman, Martin F. Fast, Daniel E. Hyer, Bas W. Raaymakers, Jeffrey E. Snyder, Prescilla Uijtewaal, Peter Woodhead

Affiliation: Department of Radiotherapy, University Medical Center Utrecht, Yale New Haven Health, University of Iowa

Abstract Preview: Purpose:
On conventional C-arm linacs, VMAT is the preferred delivery modality due to its superior efficiency and highly conformal dose distributions. MR-linacs offer superior soft-tissue imaging t...

Foundation Models with Balanced Data Sampling Enhance Auto-Segmentation for Cardiac Substructures

Authors: Chloe Min Seo Choi, Nikhil Mankuzhy, Aneesh Rangnekar, Andreas Rimner, Maria Thor, Harini Veeraraghavan, Abraham Wu

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

Abstract Preview: Purpose: Cardiac substructure irradiation predisposes patients for poor outcomes in thoracic radiation therapy. A deep learning model was developed to segment the cardiac substructures invariant to co...

Fully Automated Zero-Shot Organ Segmentation in Male Pelvic MR Images for MR-Guided Radiation Therapy

Authors: Jihun Kim, Jin Sung Kim, Jun Won Kim, Yong Tae Kim, Chanwoong Lee, Jihyn Pyo, Young Hun Yoon

Affiliation: Department of Radiation Oncology, Yonsei Cancer Center, Heavy Ion Therapy Research Institute, Yonsei University College of Medicine, Department of Radiation Oncology, Gangnam Severance Hospital, Yonsei University College of Medicine

Abstract Preview: Purpose: Although segmentation foundation models have recently demonstrated promising zero-shot performance on natural images, its clinical application to magnetic resonance (MR) images still requires...

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...

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...

Human-like Deep Learning-Based Whole-Brain Radiotherapy Treatment Planning

Authors: Adnan Jafar, Xun Jia, An Qin

Affiliation: Johns Hopkins University

Abstract Preview: Purpose: 3D whole-brain radiotherapy (WBRT) is widely used due to its simplicity and effectiveness. While modern treatment planning systems, like RayStation, offer automated Field-in-Field planning, p...

Integrating Multiple Modalities with Pretrained Swin Foundation Model for Head and Neck Tumor Segmentation

Authors: Jue Jiang, Aneesh Rangnekar, Shiqin Tan, Harini Veeraraghavan

Affiliation: Department of Medical Physics, Memorial Sloan Kettering Cancer Center, Weill Cornell Graduate School of Medical Sciences

Abstract Preview: Purpose: Clinicians often use information from FDG-PET and CT to interpret and delineate gross tumor (GTVp) and nodal (GTVn) volumes for radiotherapy planning in head and neck (HN) cancer patients. He...

Intelligent Black Box Recording for Radiation Therapy: Feasibility Study of Vision-Language Models for Treatment Monitoring.

Authors: Wookjin Choi, James M. Lamb, David Romanofski, David H. Thomas, Yevgeniy Vinogradskiy

Affiliation: Drexel, Department of Radiation Oncology, University of California, Los Angeles, Thomas Jefferson University

Abstract Preview: Purpose: To develop an intelligent Black Box Recorder for radiation therapy (RT) that monitors patient treatments using a vision language model.
Methods: The system captures synchronized screen rec...

Investigation into the Robustness of Spine Stereotactic Body Radiotherapy Plans to Patient Setup Errors

Authors: Yukio Fujita, Syoma Ide, Fumiki Ito, Kei Ito, Satoshi Kito, Keiko Murofushi, Yujiro Nakajima, Yuhi Suda, Kentaro Taguchi, Naoki Tohyama, Fumiya Tsurumaki, Riku Watanabe

Affiliation: Komazawa University Graduate School, Komazawa University, Tokyo Metropolitan Cancer and Infectious Diseases Center Komagome Hospital

Abstract Preview: Purpose: Spine stereotactic body radiotherapy (SBRT) demands high precision due to the target's proximity to the spinal cord and steep dose gradients, which complicate treatment planning. Consequently...

Mask-Based Synthetic Contrast-Enhanced CT Generation for Advancing Data Limited Segmentation on Cardiac Substructure

Authors: Jin Sung Kim, Chanwoong Lee, Young Hun Yoon

Affiliation: Department of Radiation Oncology, Yonsei Cancer Center, Heavy Ion Therapy Research Institute, Yonsei University College of Medicine

Abstract Preview: Purpose: Chest contrast-enhanced CT (CECT) serves as a valuable tool for cardiac imaging, but its lack of detailed anatomical visualization limits its utility in segmentation tasks. While CECT offers ...

Monitor Unit (MU) Substructure Analysis for Low MU Deliveries

Authors: Indra J. Das, Ahtesham U. Khan, Andrew J. White, Poonam Yadav

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

Abstract Preview: Purpose: During intensity modulated radiotherapy (IMRT) planning, low MU segments (< 3 MU) are commonly avoided due to documented dosimetric nonlinearity and poor reproducibility. This work aims to ex...

Multi-Sid Optimization for 4 Pi Robotic Radiotherapy

Authors: Qihui Lyu, Dan Ruan, Ke Sheng, Jingjie Yu

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: The robotic arm radiotherapy platform enables flexible delivery of non-coplanar and non-isocentric radiotherapy with variable Source-to-Isocenter Distances (SIDs). However, the high degrees o...

Optimizing Fractionation Schedules for De-Escalation Radiotherapy in Head and Neck Cancers Using Deep Reinforcement Learning

Authors: Zhongjie Lu

Affiliation: Department of Radiation Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine

Abstract Preview: Purpose: Patients with locally-advanced head and neck squamous cell carcinomas(HNSCCs), particularly those related to human papillomavirus(HPV), often achieve good locoregional control(LRC), yet they ...

Parameterized 4D Deformable Registration (p4Dreg) in Abdominal 4DCT Scans

Authors: Edward Robert Criscuolo, Deshan Yang

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

Abstract Preview: Purpose:
Deformable registration of 4DCT images has many clinical applications, but current methods are unreliable and can produce dangerous errors. Iterative, parametrized image registration does ...

Patient-Specific Coronary Artery Habitat Model for Enhanced Cardiac Sparing

Authors: Blessing Akinro, Soumyanil Banerjee, Ming Dong, Carri K. Glide-Hurst, Prashant Nagpal, Chase Ruff, Nicholas R. Summerfield, Timothy P. Szczykutowicz

Affiliation: Departments of Human Oncology and Medical Physics, University of Wisconsin-Madison, Departments of Radiology and Medical Physics, University Wisconsin-Madison, Department of Radiology, University of Wisconsin-Madison, Department of Computer Science, Wayne State University, Department of Human Oncology

Abstract Preview: Purpose: Radiation dose to coronary arteries (CAs) during thoracic radiotherapy (RT) is linked to cardiotoxicity. However, precise CA delineation for avoidance is limited by image quality and CA compl...

Photon-Proton Treatment Compatible Couch Tops Render Modality-Dependent Support Structure Models

Authors: Estelle Batin, Michael A. Carlson, Nilendu Gupta, Zachary X. Richards, Diana Shvydka

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

Abstract Preview: Purpose: With an increase in world-wide proton treatment availability, patients sometimes are transferred between proton and photon modalities. Among the main reasons for modality shifts are proton be...

Plan Optimization Parameter Impact on Gamma Pass Rates

Authors: Parham Alaei, Timothy J Allen, Tomas Agustin Montenegro

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

Abstract Preview: Purpose:
To assess possible relationships between treatment plan optimization parameters and gamma pass rates in quality assurance (QA) analysis of IMRT/VMAT plans.
Methods:
Plan optimization...

Predicting Prostate Cancer Recurrence Using an Atlas-Based Tumor Control Probability Model

Authors: Jeremy T. Booth, Martin Andrew Ebert, Robert Finnegan, Annette Haworth, George Hruby, Burhan Javed, Kazi Ridita Mahtaba, Leyla Moghaddasi, Yutong Zhao

Affiliation: Northern Sydney Cancer Centre, Royal North Shore Hospital, The University of Sydney, The University of Western Australia, Genesis Care, Rockhampton Hospital

Abstract Preview: Purpose:
To evaluate the efficacy of an atlas-based tumor control probability (TCP) model in predicting prostate cancer (PCa) recurrence by retrospectively integrating patient-specific primary radi...

Prediction of Vertebral Compression Fracture after Stereotactic Body Radiotherapy for Spinal Metastases Using Clinical, Radiomic and Dosiomic Features

Authors: Yukio Fujita, Syoma Ide, Kei Ito, Tomohiro Kajikawa, Satoshi Kito, Keiko Murofushi, Yujiro Nakajima, Yuhi Suda, Kentaro Taguchi, Naoki Tohyama, Fumiya Tsurumaki

Affiliation: Komazawa University Graduate School, Tokyo Metropolitan Cancer and Infectious Diseases Center Komagome Hospital, Department of Radiology, Kyoto Prefectural University of Medicine

Abstract Preview: Purpose: Stereotactic body radiotherapy (SBRT) for spine metastases is more effective for pain relief and local control than conventional radiotherapy. However, it is associated with vertebral compres...

Radiation Sub-Segmentectomy in 90y Radioembolization: Post-Therapy Dosimetry, Treatment Response, and Pathological Necrosis

Authors: Guilherme Rosa Ferreira, Dan Giardina, John Karageorgiou, Chris Malone, Allan Thomas

Affiliation: Washington University School of Medicine, Mallinckrodt Institute of Radiology, Washington University School of Medicine

Abstract Preview: Purpose: Radiation segmentectomy has become a primary strategy in 90Y radioembolization, with localized treated volumes that can include up to two liver segments. The goal is complete pathological nec...

Registration of Radiation Simulation 3D Medical Imaging and Cardiac Electrophysiology of Porcine Left Ventricle Using a 17-Segment Model Framework.

Authors: Phillip Cuculich, Geoffrey D. Hugo, Nels C. Knutson, Luke Christian Marut, Eric D. Morris, Stacey Rentschler, Clifford Robinson, Christian Zemlin, Brian Zenger

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

Abstract Preview: Purpose: Stereotactic arrhythmia radiotherapy (STAR) is an emerging treatment for ventricular tachycardia (VT) that uses radiation to modulate cardiac electrophysiology (EP) and reduce VT. Registratio...

Spectrometry-Based Determination of X-Ray Tube Endpoint Potentials

Authors: Wesley S. Culberson, Ryan Gardner, John Thomas Stasko

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

Abstract Preview: Purpose: X-ray tube voltage is a critical parameter in influencing an X-ray tube’s beam quality. The endpoint tube potential, the potential difference between the X-ray tube’s cathode and anode, is pa...

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...

Spot Scanning Gantry-Based Gaze-Gated Ocular Proton Treatment Planning at Mayo Clinic Rochester

Authors: Amanda J. Deisher, Susannah V. Hickling, Shima Ito, Jon J. Kruse

Affiliation: CancerCare Manitoba, Mayo Clinic

Abstract Preview: Purpose:
To date, 11 ocular patients were treated with spot scanning gantry-based gaze-gated ocular proton program at Mayo Clinic, Rochester MN since 2023. Treatments are done in the half-arc gantr...

Stereotactic Body Radiosurgery for Refractory Ventricular Tachycardia: Presenting Efficient Clinic Workflow, Dosimetric Analysis and Patients Reported Clinical Results

Authors: Karam Ayoub, Aaron B Hesselson, Ronald C McGarry, Joshua Misa, Damodar Pokhrel

Affiliation: University of Kentucky, Department of Radiation Medicine, University of Kentucky, Department of Cardiology

Abstract Preview: Purpose: Noninvasive stereotactic body radiosurgery (SBRS) is emerging treatment option for advanced heart failure patients with refractory-ventricular tachycardia (rVT) who experienced recurrent impl...

Synthesizing High-Quality Hepatic Vascular Tree Segmentation Datasets to Improve Segmentation Model Performance

Authors: Trevor McKeown, Deshan Yang, Zhendong Zhang

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

Abstract Preview: Purpose: Accurate delineation of liver blood vascular structures is crucial for planning and executing therapeutic interventions in liver-related medical procedures. However, current auto-segmentation...

The Role of AI-Based Analysis in Segmenting Sealing Zones and Tissue Characterization

Authors: Sara Allievi, Stefano Bonvini, Gloria Miori, Laura Orsingher, Andrea Passerini, Igor Raunig, Daniele Ravanelli, Erich Robbi, Annalisa Trianni

Affiliation: Department of Information Engineering and Computer Science, University of Trento, Vascular Surgery Department, S.Chiara Hospital, APSS, Medical Physics Department, S.Chiara Hospital, APSS

Abstract Preview: Purpose:
This study evaluates the performance of an AI-driven tool in segmenting and analyzing tissue composition in abdominal aortic aneurysm (AAA) patients, specifically focusing on the sealing z...

Towards Real-Time Radiotherapy Monitoring By Cherenkov Imaging: Applications of Patient-Specific Bio-Morphological Features Segmented Via Deep Learning

Authors: Petr Bruza, Yao Chen, David J. Gladstone, Lesley A Jarvis, Brian W Pogue, Kimberley S Samkoe, Yucheng Tang, Shiru Wang, Rongxiao Zhang

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

Abstract Preview: Purpose: Cherenkov imaging provides real-time visualization of megavoltage radiation beam delivery during radiotherapy. Patient-specific bio-morphological features, such as vasculature, captured in th...

Treatment Plan Evaluation of the Patient-Tailored Architect Applicator for Cervical Cancer Brachytherapy

Authors: Jenny Dankelman, Ben J. M. Heijmen, Inger-Karine K. Kolkman-Deurloo, Remi A. Nout, Linda Rossi, Robin Straathof, Linda Wauben, Henrike Westerveld, Nick J. van De Berg, Sharline M. van Vliet - Perez

Affiliation: Department of BioMechanical Engineering, Delft University of Technology, Department of Gynecological Oncology, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Department of Radiotherapy, Erasmus MC Cancer Institute, University Medical Center Rotterdam

Abstract Preview: Purpose:
To quantify the dosimetric advantages of the 3D-printed patient-tailored ARCHITECT applicator with optimized needle channel configurations compared to clinically used intracavitary/interst...

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

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

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

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

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 ...

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...