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Results for "enhanced computed": 65 found

4D CBCT Reconstruction Using Denoising Diffusion Implicit Models

Authors: Weixing Cai, Laura I. Cervino, Yabo Fu, Bohong Huang, Licheng Kuo, Tianfang Li, Xiang Li, Jean M. Moran, Huiqiao Xie, Hao Zhang

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

Abstract Preview: Purpose: Four-dimensional cone-beam computed tomography (4D-CBCT) is critical in image-guided radiotherapy (IGRT) for visualizing tumor motion. However, sparse projection sampling often introduces sev...

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

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

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

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

A Method for Automatic Working Angle Prediction during Intracranial Aneurysms Embolization

Authors: Tina Ehtiati, Grace Jianan Gang, Limei Ma, Oleg Shekhtman, Visish M. Srinivasan

Affiliation: Siemens Medical Solutions USA, Inc., University of Pennsylvania

Abstract Preview: Purpose: Saccular aneurysms are the most common type of intracranial aneurysm and are typically treated by endovascular embolization. The procedure requires approximately orthogonal fluoroscopy images...

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

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

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

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

A New Approach for Teaching Mathematical and Computational Methods to Medical Physics Students

Authors: Jenghwa Chang, Marissa Joyce Vaccarelli

Affiliation: Northwell, Hofstra University Medical Physics Program

Abstract Preview: Purpose: AAPM Report 365 recommends medical physics graduate programs offer courses covering mathematical/statistical methods (section 3.1.7) as well as computational methods/medical informatics (sect...

A Novel Feature Selection Method for Survival Prediction of Head-and-Neck Following Radiation Therapy

Authors: Xiaoying Pan, X. Sharon Qi

Affiliation: Department of Radiation Oncology, University of California, Los Angeles, School of Computer Science and technology,Xi'an University of Posts and Telecommunications

Abstract Preview: Purpose:
Survival prediction for cancer presents a substantial hurdle in personalized oncology, due to intricate, high-dimensional medical data. Our study introduces an innovative feature selection...

AI-Driven Drug Discovery through an Interactive Analysis of Radiomics and Biological Insights in Glioblastoma

Authors: Nobuki Imano, Yuzuha Kadooka, Daisuke Kawahara, Misato Kishi, Yuji Murakami, Shumpei Onishi

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

Abstract Preview: Purpose: Radiomics has proven useful in predicting overall survival in glioblastoma (GBM) patients, but consistent molecular correlations remain unidentified, leaving its biological basis unclear. Thi...

An Adaptive Radiotherapy Strategy Study Based on Segmented Synthesis and Deformational Registration

Authors: Jie Hu, Zhengdong Jiang, Nan Li, Tie Lv, Yuqing Xia, Shouping Xu, Gaolong Zhang, Wei Zhao, Changyou Zhong

Affiliation: School of Physics, Beihang University, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Radiotherapy Department of Meizhou People’s Hospital (Huangtang Hospital), UT Health San Antonio, National Cancer Center/ National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, Peopleʼs Republic of China, Department of Radiation Oncology

Abstract Preview: Purpose: Patients usually undergo cone-beam computed tomography (CBCT) scans which are used for patient set-up before radiotherapy. However, the low image quality of CBCT hinders its use in adaptive r...

An Advanced Automated Pipeline for Brain Tumor Segmentation on MRI Images in Gamma Knife Radiotherapy

Authors: Zachery Colbert, Matthew Foote, Michael Huo, Mark Pinkham, Prabhakar Ramachandran, Mihir Shanker

Affiliation: Radiation Oncology, Princess Alexandra Hospital, Ipswich Road, Princess Alexandra Hospital

Abstract Preview: Purpose: The study aimed to develop and implement deep learning-based autosegmentation models for the autosegmentation of four key tumor types: brain metastasis, pituitary adenoma, vestibular schwanno...

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...

Analysis of Noise Power Spectra in MR Parallel Imaging

Authors: Sulaiman D. Aldoohan, Gerardo Garcia

Affiliation: University of Toledo Medical Center

Abstract Preview: Purpose: To evaluate the noise power spectra (NPS) of images acquired using parallel imaging with varying acceleration factors in 1-D and 3-D spaces and to compare the level of the power of the noise ...

Automatic Specific Absorption Rate (SAR) Prediction for Hyperthermia Treatment Planning (HTP) Using Deep Learning Method

Authors: Yankun Lang, Lei Ren, Dario B. Rodrigues

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

Abstract Preview: Purpose:
HTP of microwave (MW) phased-array systems determine MW antenna settings to maximize energy absorption (SAR in W/kg) in tumor. Conventional HTP algorithms calculate SAR based on electromag...

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

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

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

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

CBCT Dose Measurement for Common Protocols on Elekta Versahd and Varian Truebeam

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

Affiliation: Thomas Jefferson University

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

Cerebellar Mutism Syndrome Prediction with 3D Residual Convolutional Neural Network

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

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

Abstract Preview: Purpose: Cerebellar mutism syndrome (CMS) is the most frequently observed complication in children undergoing surgical resection of posterior fossa tumors. Previous work explored lesion to symptom map...

Comparison of Linear Energy Transfer Volume Histograms from Two Beam Geometries in a Pediatric Chordoma Patient Treated with Intensity Modulated Proton Therapy

Authors: Michael Confer, Mark A. Newpower

Affiliation: University of Oklahoma Health Sciences Center

Abstract Preview: Purpose: A pediatric patient recently presented to our clinic for treatment for chordoma, which was near the brainstem. The clinician elected to treat this patient using intensity modulated proton the...

Comparison of Ultra-High Resolution and Standard CT Imaging Modes for Small Vessel Visualization in Coronary CTA Using Photon Counting CT

Authors: Afrouz Ataei, Victor Moy, Mark P. Supanich

Affiliation: Rush University

Abstract Preview: Purpose: This study evaluates the impact of ultra-high resolution (UHR) mode on the visualization of small vessels in coronary computed tomography angiography (CTA) using a photon-counting CT scanner....

Correlating Cochlear Hearing Loss from Head and Neck Proton Therapy to Variable Relative Biological Effectiveness Dose

Authors: Angela Gathers, Christina Henson, Sakuntala Jagabattuni, Mark A. Newpower

Affiliation: University of Oklahoma HSC, Department of Otolaryngology, University of Oklahoma HSC, University of Oklahoma Health Sciences Center

Abstract Preview: Purpose: A previous departmental study showed an increase in ototoxicity (hearing loss) rates in head & neck cancer (HNC) patients treated with Intensity Modulated Proton Therapy (IMPT) vs. x-ray radi...

Deep Learning-Based Eye Monitoring and Tracking System for Ocular Proton Therapy in a Regular Gantry Room

Authors: David H. Abramson, Christopher Barker, Jasmine H. Francis, Meng Wei Ho, Yen-Po Lee, Haibo Lin, Hang Qi, Andy Shim, Charles B. Simone, Weihong Sun, Xiaoxuan Xu, Siyu Yang, Francis Yu, Anna Zhai

Affiliation: College of Machine Intelligence, Nankai University, New York Proton Center, Department of Biomedical Engineering, Johns Hopkins University, Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, Memorial Sloan Kettering Cancer Center

Abstract Preview: Purpose: Proton therapy is an effective modality for treating ocular tumors such as uveal melanoma. We developed a novel camera‐based eye‐tracking system to provide real-time noninvasive eye positioni...

Deep Learning-Based Fast CBCT Imaging with Orthogonal X-Ray Projections for Gynecological Cancer Radiotherapy

Authors: Beth Bradshaw Ghavidel, Chih-Wei Chang, Yuan Gao, Priyanka Kapoor, Shaoyan Pan, Junbo Peng, Richard L.J. Qiu, Jill Remick, Justin R. Roper, Zhen Tian, Xiaofeng Yang

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

Abstract Preview: Purpose: Current cone-beam computed tomography (CBCT) typically requires no less than 200 degrees of angular projections, which prolongs scanning time and increases radiation exposure. To address thes...

Deep Learning-Based Prompt Gamma Imaging for Proton Range Verification Using Patient Data Simulation

Authors: Mostafa Cham, Matthias K Gobbert, Zhuoran Jiang, Sina Mossahebi, Ruth Obe, Stephen W. Peterson, Jerimy C. Polf, Lei Ren, Ehsan Shakeri, Vijay Raj Sharma

Affiliation: University of Maryland School of Medicine, UMBC, University of Maryland Baltimore County, University of Maryland, Baltimore County, Stanford University, University of Maryland, School of Medine, Department of Physics, University of Cape Town, M3D, Inc, Department of Infomation Systems, UMBC

Abstract Preview: Purpose: Compton camera (CC)-based prompt gamma imaging (PGI) offers real-time proton range verification. However, its limited-angle measurements cause severe distortions in PGI, affecting its clinica...

Developing a Comprehensive Multi-Modal Framework for Population-Scale Liver Volumetry: Insights and Predictive Models

Authors: Mustafa Bashir, Diana Kadi, Kyle J. Lafata, Jacob A. Macdonald, Mark Martin, Yuqi Wang, Marilyn Yamamoto

Affiliation: Duke University, Department of Radiation Oncology, Duke University, Department of Electrical and Computer Engineering, Duke University, Department of Radiology, Duke Unversity

Abstract Preview: Purpose: To develop a high-throughput, automated-data-interrogation pipeline for integrating imaging and clinical information to identify key determinants of liver volume (LV), enabling population-sca...

Development of a Visualization Tool for LET and Proton Spot Mapping for PB Treatment Planning

Authors: Chang Chang, Mohammad Kanber, Stephen Kenneth Northway

Affiliation: East Carolina University, California Protons Cancer Therapy Center, California Proton Cancer Therapy Center

Abstract Preview: Purpose:
Proton therapy treatment planning involves the consideration of unique physical quantities such as Linear Energy Transfer (LET) and spot location maps that do not exist in photon treatment...

Development of an Orthogonal X-Ray Projections-Guided Cascading Volumetric Reconstruction and Tumor-Tracking Model for Adaptive Radiotherapy

Authors: Penghao Gao, Zejun Jiang, Huazhong Shu, Linlin Wang, Gongsen Zhang, Jian Zhu

Affiliation: Laboratory of Image Science and Technology, Key Laboratory of Computer Network and Information Integration, Southeast University, Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Artificial Intelligence Laboratory, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences

Abstract Preview: Purpose: We propose a cascading framework for time-varying anatomical volumetric reconstruction and tumor-tracking, guided by onboard orthogonal-view X-ray projections.
Methods: We employe multiple...

Dose Mapping of Radioactive Gold Nanoparticles Using Three-Dimensional Dosimetry

Authors: Ana Laura Burin, Maysa Müller Ferreira Gesserame, David Alexander Urbina Leal, Ilca Marli Moitinho Amaral Medeiros, Silas Leonel Pereira Miranda, Thuany Corrêa Nogueira, Maria da Penha Alburquerque Potiens, Pedro Henrique Ricardo, Maria Eduarda Zaganin Rigo, Orlando Rodrigues, Priscila Santos Rodrigues, Wilmmer Alexander Arcos Rosero, Maria Elisa Chuery Martins Rostelato, Sabrina Spigaroli Sgrignoli, Ana Catarina Koka de Souza Silva, Cristhian Ferreira Talacimon, Paulo Victor dos Santos Tavares, Lara El Hajj Teodoro, Carlos Alberto Zeituni, José Neres de Almeida

Affiliation: IPEN - USP

Abstract Preview: Purpose: Perform three-dimensional dosimetry of radioactive gold nanoparticles (¹⁹⁸AuNPs) using Fricke xylenol gel (FXG), aiming to determine the dose distribution and evaluate the method's effectiven...

Dual Energy Cone Beam Computed Tomography for Artifact Reduction and Enhanced Image Quality Using Existing Hardware in Radiation Therapy

Authors: Michael J. Choi, Vindu Wathsala Kathriarachchi, Christopher L. Nelson, Andrew P. Soderstrom, Yawei Zhang

Affiliation: The University of Texas MD Anderson Cancer Center, MD Anderson, UF Health Proton Therapy Institute

Abstract Preview: Purpose: Cone Beam Computed Tomography (CBCT) is widely used in image-guided radiation therapy for patient positioning. While kV photons offer high image contrast, they are prone to artifacts caused b...

Dual-Domain Neural Network Cone-Beam CT Correction for Online Adaptive Proton Therapy

Authors: Daniel H. Bushe, Arthur Lalonde, Hoyeon Lee, Harald Paganetti, Brian Winey

Affiliation: Universite de Montreal, Massachusetts General Hospital, Massachusetts General Hospital and Harvard Medical School, University of Hong Kong

Abstract Preview: Purpose: Improving the precision and fidelity of daily volumetric imaging is essential for enabling adaptive proton therapy (APT). While cone-beam CT (CBCT) provides daily volumetric imaging, their ut...

Enhance Four-Dimension Cone-Beam Computed Tomography (4D-CBCT) from Sparse Views Using a Novel Deep Learning Model

Authors: Lei Ren, Jie Zhang

Affiliation: University of Maryland School of Medicine

Abstract Preview: Purpose: 4D-CBCT is valuable for imaging anatomy affected by respiratory motions to guide radiotherapy delivery. However, 4D-CBCT often has undersampled projections acquired in each respiratory phase ...

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

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

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

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

Enhancing Radiation Oncology Imaging with a Novel Variational Model Decomposition, Radon Transformation, and Kohonen Self-Organizing Map Denoising Framework

Authors: Hassan Bagher-Ebadian, Justine M. Cunningham, Anthony J. Doemer, Mohammad M. Ghassemi, Joshua P. Kim, Benjamin Movsas, Kundan S Thind

Affiliation: Michigan State University, Henry Ford Health

Abstract Preview: Purpose: Reduction of noise in medical images critically enables improved accuracy in delineating tumors and organs at risk, leading to more precise treatment planning and safer image-guided radiation...

Evaluating Uncertainty Estimation Models for Clinical Integration of AI-Generated Radiotherapy Dose Distributions

Authors: Jacob S. Buatti, Kristen A. Duke, Malena Fassnacht, Neil A. Kirby, Parker New, Niko Papanikolaou, Arkajyoti Roy, Yuqing Xia, Michelle de Oliveira

Affiliation: The University of Texas San Antonio, UT Southwestern Medical Center, UT Health San Antonio

Abstract Preview: Purpose:
Quantifying and visualizing uncertainty is critical for building clinical trust in AI-generated dose distributions. This study evaluates Monte Carlo Dropout (MCD), Snapshot Ensemble (SE), ...

Evaluation of Thoracic Direct Dose Calculation Using Truebeam Linac with Hypersight Imaging CBCT Solution

Authors: Theodore Higgins Arsenault, Kenneth W. Gregg, Lauren E Henke, Rojano Kashani, Alex T. Price, Sagar Regmi, Atefeh Rezaei, Runyon C. Woods

Affiliation: University Hospitals Seidman Cancer Center

Abstract Preview: Purpose: To investigate the feasibility and accuracy of using a Hounsfield Unit(HU) calibrated cone-beam computed tomography(CBCT) for direct dose calculation in thoracic treatment settings. In combin...

Explainable Xerostomia Prediction with Decoupled High Resolution Class Activation Map

Authors: Junghoon Lee, Todd R. McNutt, Harry Quon, Bohua Wan

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

Abstract Preview: Purpose: Xerostomia is a common toxicity in head and neck cancer (HNC) radiotherapy (RT). A few deep learning (DL) models have been proposed to predict the chance of xerostomia 12 months after RT with...

Film-Based Method for Accurate Radiation Isocenter Determination in Linear Accelerators Using 3D Starshot

Authors: Robert A. Corns, Mohammad Kanber

Affiliation: East Carolina University, East Carolina University Brody School of Medicine

Abstract Preview: Purpose:
Accurate determination of the radiation isocenter is crucial for precise radiotherapy treatments, directly impacting patient safety and treatment quality. This study presents a computation...

GPU-Accelerated Beamlet and Full Dose Calculations for Efficient Radiation Therapy Planning

Authors: Girish Bal, Jan Kralj, Ayan Mitra, PhD, Ling Shao, Matjaz Subic, Yevgen Voronenko

Affiliation: RefleXion Medical, Cosylab

Abstract Preview: Purpose: This work enhances the efficiency of radiation therapy treatment planning by optimizing the beamlet dose matrix and full patient dose computations using GPU acceleration. The Collapsed-Cone C...

Generalized Ontological Framework for CT Data Profiling and Characterization

Authors: Njood Alsaihati, Ehsan Samei, Justin B. Solomon

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

Abstract Preview: Purpose: Inconsistent imaging procedure naming across and within institutions challenges clinical decision-making, quality assessment, and data analysis in radiology. For example, The American College...

Glandular Dose Map in Voxelized Phantoms across Advanced Breast Imaging Modalities Obtained from Monte Carlo Simulations

Authors: Rodrigo T Massera, Sofia Giaccone Thomaz, Alessandra Tomal, Giovanna Tramontin

Affiliation: Universidade Estadual de Campinas. Instituto de Física Gleb Wataghin, Department of Imaging & Pathology, unit of Medical Physics & Quality Assessment, KU Leuven

Abstract Preview: Purpose: Monte Carlo simulations are increasingly used in breast dosimetry for their precision in estimating difficult-to-measure quantities, such as glandular dose. With ionizing radiation in breast ...

High-Fidelity Synthetic CT Generation from CBCT for Dibh Breast Cancer Patients Using Shortest Path Regularization

Authors: Manju Liu, Weiwei Sang, Yanyan Shi, Zhenyu Yang, Fang-Fang Yin, Chulong Zhang, Lihua Zhang, Rihui Zhang

Affiliation: Jiahui International Hospital, Jiahui International Hospital, Radiation Oncology, Duke Kunshan University, Medical Physics Graduate Program, Duke Kunshan University

Abstract Preview: Purpose: This study aims to transform cone-beam computed tomography (CBCT) images acquired from deep inspiration breath-hold (DIBH) breast cancer patients into high-fidelity synthetic CT (sCT) images....

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

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

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

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

Improved SNR and Estimation Accuracy for Deuterium-MRI Acquired with Chemical Shift Imaging at 7 Tesla

Authors: Muhammed AR Anjum, Andrew J. Fagan

Affiliation: Mayo Clinic

Abstract Preview: Purpose:
This study describes a novel post-processing method to boost image SNR for deuterium-MRI acquired using chemical shift imaging (CSI) at 7T. Deuterium MRI via exogenous administration of a ...

Initial Phantom Studies Towards Implementation of Sequential Dual Energy CBCT on an Adaptive Radiotherapy Linac Platform

Authors: James M. Balter, Alexander Moncion, Ikechi S Ozoemelam

Affiliation: University of Michigan

Abstract Preview: Purpose: Sequential dual-energy cone beam computed tomography (DE-CBCT) integrated with an online adaptive platform could potentially improve soft tissue visualization for more accurate anatomical del...

Investigation of Metallic Artefact Reduction Capabilities of Hypersight Enabled Platforms

Authors: Harald Keller, Iymad Mansour, Jeff D. Winter

Affiliation: Princess Margaret Cancer Centre

Abstract Preview: Purpose: The growing number of adaptive therapy applications is motivating image segmentation and direct dose calculation on CBCT. The purpose of this investigation is to evaluate the recently release...

Lesion Detection in Contrast Enhanced Cone Beam Breast CT with a Photon Counting Detector: A Monte Carlo Study

Authors: Ahad Ollah Ezzati, Xiaoyu Hu, Xun Jia, Youfang Lai, Kai Yang, Yuncheng Zhong

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

Abstract Preview: Purpose: Contrast-enhanced breast cone-beam computed tomography (bCBCT) provides high-resolution, 3D imaging of breast tissues with improved differentiation between normal and abnormal tissues. Curren...

Mask Guided Diffusion Model for Metal Artifacts Reduction

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

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

Abstract Preview: Purpose: Metallic implants can significantly distort sinograms, leading to severe artifacts in computed tomography (CT) reconstructions. Reconstructing CT images containing metal is fundamentally an i...

Mechanistical Modeling of Radiation Response of Parotid in Head and Neck Cancer Radiotherapy

Authors: Rachel B. Ger, Xun Jia, Youfang Lai, Todd R. McNutt, Xingyi Zhao

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

Abstract Preview: Purpose: Radiotherapy (RT) plays an essential role for head and neck (HN) cancer treatment but often results in xerostomia due to salivary gland damage. It is important to mechanistically model the ra...

Modality-Agnostic Image Cascade (MAGIC) for Multi-Modality Cardiac Substructure Segmentation

Authors: Ming Dong, Carri K. Glide-Hurst, Qisheng He, Anudeep Kumar, Alex Singleton Kuo, Joshua Pan, Chase Ruff, Nicholas R. Summerfield

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

Abstract Preview: Purpose: Recent evidence highlights the importance of incorporating cardiac substructures (CS) into treatment planning for thoracic cancers, however current segmentation methods are limited to a singl...

Modified Dehazenet for Scatter Correction in Triggered Imaging: Enhancing Visibility and Alignment Precision for Radiation Therapy

Authors: Hyosung Cho, Dae Yup Han, Duhee Jeon, Jiwon Park, Hyesun Yang

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

Abstract Preview: Purpose: Scatter in X-ray imaging degrades image quality, hindering the visibility of critical anatomical features and complicating patient alignment in radiation therapy. This study aims to improve s...

Multi-Mechanism CNN and Long Short-Term Memory Fusion Model for Improved CT-Based Thyroid Cancer Diagnosis

Authors: Yunfei Dong, Dongyang Guo, Jiongli Pan, Tao Peng, Caiyin Tang, Zhenyu Yang, Fang-Fang Yin, Lei Zhang, Tianyi Zhang, Yaogong Zhang

Affiliation: Duke Kunshan University, Department of Radiology, Taizhou People’s Hospital Affiliated to Nanjing Medical University, School of Future Science and Engineering, Soochow University, Medical Physics Graduate Program, Duke Kunshan University

Abstract Preview: Purpose: This study aims to improve the accuracy of CT-based diagnosis of thyroid cancer by developing a hybrid model that integrates Convolutional Neural Networks (CNNs) with Long Short-Term Memory (...

Multi-Organ Segmentation of Pelvic Cone-Beam Computed Tomography (CBCT) with Transformer Models to Enhance Adaptive Radiotherapy for Prostate Cancer

Authors: Ming Chao, Thomas Chum, Tenzin Kunkyab, Yang Lei, Tian Liu, Richard G Stock, Hasan Wazir, Junyi Xia, Jiahan Zhang

Affiliation: Icahn School of Medicine at Mount Sinai

Abstract Preview: Purpose:
This study aims to develop effective strategies for multi-organ segmentation of pelvic cone-beam computed tomography (CBCT) images based on transformer models to facilitate adaptive radiat...

Multi-Path Deep Learning Model for Predicting Post-Radiotherapy Functional Liver Imaging in Patients with Hepatocellular Carcinoma

Authors: Smith Apisarnthanarax, Stephen R. Bowen, Sunan Cui, Jie Fu, Clemens Grassberger, Yulun He, Yejin Kim, Matthew J. Nyflot, Sharon Pai

Affiliation: Department of Radiation Oncology, University of Washington and Fred Hutchinson Cancer Center, Department of Radiation Oncology, University of Washington, University of Washington, Department of Radiation Oncology, Fred Hutchinson Cancer Center, University of Washington, Department of Physics, University of Washington, University of Washington and Fred Hutchinson Cancer Center

Abstract Preview: Purpose: 99mTc-sulfur colloid SPECT imaging enables quantitative assessment of voxel-wise liver function in patients with hepatocellular carcinoma (HCC). Accurately predicting post-radiotherapy (RT) l...

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

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

Affiliation: Mayo Clinic, Prehospital Critical Care Training Group

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

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

Optimized Dosimetric Planning for Trigeminal Neuralgia Using Cyberknife S7 Precision TPS with Volo Optimizer

Authors: Amy Fitzpatrick, Kim Howard, Julius G. Ojwang, Neelu Soni

Affiliation: Mercy Hospital Springfield

Abstract Preview: Purpose: This study evaluates the dosimetric advantages and workflow improvements of the CyberKnife S7 Precision Treatment Planning System (TPS) with the VOLO optimizer for stereotactic radiosurgery (...

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...

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...

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...

Rapid CBCT Imaging with Ultra-Sparse X-Ray Projections for Head & Neck Cancer Radiotherapy

Authors: Hania A. Al-Hallaq, Chih-Wei Chang, Anees H. Dhabaan, Yuan Gao, Shaoyan Pan, Junbo Peng, Richard L.J. Qiu, Keyur Shah, Sibo Tian, Zhen Tian, Xiaofeng Yang, David Yu, Jun Zhou

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

Abstract Preview: Purpose: Traditional cone-beam computed tomography (CBCT) often requires multiple angular projections, increasing radiation exposure and extending scanning times, which may lead to heightened patient ...

Small but Mighty: A Lightweight and Computationally Efficient Model for Deformable Image Registration

Authors: Hengjie Liu, Dan Ruan, Ke Sheng, DI Xu

Affiliation: Physics and Biology in Medicine, University of California, Los Angeles, Department of Radiation Oncology, University of California, San Francisco, Department of Radiation Oncology, University of California at San Francisco, Department of Radiation Oncology, University of California, Los Angeles

Abstract Preview: Purpose:
State-of-the-art deep learning-based deformable image registration often uses large, complex models directly adapted from computer vision tasks but achieves only comparable performance to ...

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

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

Affiliation: Mayo Clinic

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

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

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

Affiliation: Department of Radiation Oncology, Stanford University

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

The 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...

To Establish Local Diagnostic Reference Levels (DRLs) for Head and Neck Computed Tomography (CT) Exams in Abuja, Nigeria, and to Investigate the Performance of Brain Metastasis (BM) and Brain Lesion (BL) Segmentation Techniques Using U-Net Models.

Authors: Nuraddeen Nasiru Garba, Kalpana M Kanal, Abdullahi Mohammed, Rabiu Nasiru, Muhammad SHAFIU Shehu, Daniel Vergara, Joseph Everett Wishart

Affiliation: AHMADU BELLO UNIVERSITY, ZARIA, University of Washington

Abstract Preview: Purpose: To establish local Diagnostic Reference Levels (DRLs) for head and neck computed tomography (CT) exams in Abuja, Nigeria, and to investigate the performance of brain metastasis (BM) and brain...

Tracking Deposited Nanoparticle Cluster Sizes in Inhalation Based Nanoparticle-Enhanced Radiotherapy

Authors: Victoria Susan Ainsworth, Wilfred F. Ngwa, Erno Sajo

Affiliation: University of Massachusetts Lowell, Johns Hopkins University

Abstract Preview: Purpose: In nanoparticle-enhanced radiotherapy, the dose enhancement is function of the particle size. At therapeutic concentrations, the number density of nanoparticles gives rise to a high rate of i...

Tumor Density on Time-Weighted Mid-Position Images for Thoracic Tumors

Authors: Katrinus Keijnemans, Eric S. Paulson, An Tai

Affiliation: Department of Radiotherapy, University Medical Center Utrecht, Department of Radiation Oncology, Medical College of Wisconsin

Abstract Preview: Purpose: Time-weighted mid-position images (MidPs), derived from four-dimensional computed tomography (4DCT) via deformable image registration (DIR), are frequently selected for treatment planning due...

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...

Web-Based Tool for CT Ring Artifact Identification Using Streamlit and Python

Authors: Sarah Huo, David Zander, Wei Zhou

Affiliation: Cherry Creek High School, University of Colorado Anschutz Medical Campus, University of Colorado Anschutz Medical Campus, School of Medicine

Abstract Preview: Purpose:
Ring artifact is commonly seen in CT, and it is usually caused by detector element failure or miscalibration. Although many ring artifacts are apparent and easy to recognize, those origina...