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Results for "cross correlation": 70 found

4π Non-Coplanar Stereotactic Body Radiation Therapy: Dosimetric Evaluation of VMAT Configurations in for Recurrent Head and Neck Tumors

Authors: Sixue Dong, Weigang Hu, Jiazhou Wang, Zhen Zhang

Affiliation: Fudan University Shanghai Cancer Center

Abstract Preview: Purpose: This study aimed to evaluate the dosimetric benefits and treatment efficiency of different beam configurations in 4π non-coplanar VMAT for SBRT in recurrent head and neck tumors

Method...

A Combination of Radiomics and Dosiomics for Gross Tumor Volume Regression in Personalized Ultra-Fractionated Stereotactic Adaptive Radiotherapy (PULSAR)

Authors: Hao Peng, Yajun Yu

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

Abstract Preview: Purpose: Personalized ultra-fractionated stereotactic adaptive radiotherapy (PULSAR) is a novel ablative radiation dosing scheme developed by our institution. This study aims to establish a regression...

A Comparative Evaluation of CT Global Noise Calculation Methods for Upcoming CMS Image Quality Measure

Authors: Gary Y. Ge, Charles Mike Weaver, Jie Zhang

Affiliation: University of Kentucky

Abstract Preview: Purpose: The recently introduced CMS regulation on CT dose and image quality mandates the use of global noise as the metric for image quality assessment. The regulation cites two methods for calculati...

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 Dosimetric Analysis of Lu-177-Based Radiopharmaceutical Therapy for Optimizing Therapeutic Ratio

Authors: Travis James McCaw, Ravi Patel, Abdelhamid Saoudi, Joseph Shields

Affiliation: UPMC Hillman Cancer Center, UPMC Hillman Cancer Center and University of Pittsburgh School of Medicine, University of Pittsburgh Medical Center, UPMC

Abstract Preview: Purpose: The current treatment approach for Lu-177-based radiopharmaceutical therapy involves multiple administrations, each delivering a constant activity of 200 mCi. This study evaluates whether the...

A Framework for the Standardization of Radiomics Classes in the Presence of Blur and Noise

Authors: Huay Din, Grace Jianan Gang, Grace Hyun Kim, Michael F. McNitt-Gray, Joseph W. Stayman, Yijie Yuan

Affiliation: Johns Hopkins University, John Hopkins University, University of Pennsylvania, David Geffen School of Medicine at UCLA

Abstract Preview: Purpose:
Radiomics rely on quantitative features to discern underlying biological signatures. However, feature dependence on the imaging systems themselves hampers the creation of reproducible and ...

A Hybrid Radiomics-Integrated Machine Learning Framework for Early Identification of Potential Radiation Pneumonitis in Lung Cancer Patients

Authors: Christos Ilioudis, Marios Myronakis, Sotirios Raptis, Kyriaki Theodorou

Affiliation: Medical Physics Department, Medical School, University of Thessaly, Department of Information and Electronic Engineering, International Hellenic University (IHU)

Abstract Preview: Purpose: This study presents a radiomics-driven, machine learning framework developed to predict the possibility of Radiation Pneumonitis (RP), as a side effect of radiation therapy in lung cancer pat...

A Multi-Regional and Multi-Omics Approach to Predict Penumonitis in Patients with Locally Advanced Non-Small Cell Lung Cancer in Nrg Oncology Trial RTOG 0617

Authors: Katelyn M. Atkins, Indrin J. Chetty, Elizabeth M. McKenzie, Taman Upadhaya, Samuel C. Zhang

Affiliation: Department of Radiation Oncology,Cedars-Sinai Medical Center, Cedars-Sinai Medical Center

Abstract Preview: Purpose:
We explored a multi-regional and multi-omics approach to extract CT-based radiomics and 3D dosiomics features to predict radiation pneumonitis (RP) in patients with locally advanced Non-Sm...

A New Algorithm for Charged Particle Therapy Beam Energy Measurement By Time-of-Flight

Authors: Sung Woon Choi, Dong Wook Kim, Jin Sung Kim, Na Hye Kwon, Paulo Jorge Ribeiro Da Fonte

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

Abstract Preview: Purpose: In hadrontherapy, such as proton and carbon ion therapy, it is desirable, for quality assurance reasons, to have an online beam energy measurement independent from the machine parameters. Sin...

A Patient-Specific Approach to Surface Guided-DIBH SBRT Candidacy Using Surface Deformation Maps

Authors: Savannah Decker, Grace Gwe-Ya Kim, Laura Padilla

Affiliation: UC San Diego, University of California San Diego

Abstract Preview: Purpose: The success of surface-guided deep-inspiration breath-hold (SG-DIBH) treatments depends on accurate identification of suitable candidates. Sub-optimal patient selection can result in prolonge...

A Real-Time 6 Degrees-of-Freedom Image Guided Radiation Therapy Technology Using Internal-External Motion Correlation Modelling

Authors: Jeremy T. Booth, Nicholas Hardcastle, Freeman Jin, Alicja Kaczynska, Paul J. Keall, Chandrima Sengupta

Affiliation: Northern Sydney Cancer Centre, Royal North Shore Hospital, Physical Sciences, Peter MacCallum Cancer Centre, Image X Institute, Faculty of Medicine and Health, University of Sydney, Image X Institute, Faculty of Medicine and Health, The University of Sydney

Abstract Preview: Purpose: An ESTRO survey reported that 71% of radiotherapy centers across 41 countries want to implement real-time image guided radiation therapy (IGRT) to improve patient outcomes. To address this gl...

A Tumor Tracking Method in Surface-Guided Radiotherapy

Authors: Penghao Gao, Zejun Jiang

Affiliation: 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: Real-time tumor tracking can effectively compensate for the impact of respiratory motion on dose distribution. We propose a patient-specific external-internal correlation model driven by opti...

Advancing Magnetic Resonance Imaging (MRI) Safety Clearance: Utilizing Dual-Energy CT (DECT) Material Decomposition for Foreign Object Assessment

Authors: Anzi Zhao

Affiliation: Northwestern Medicine

Abstract Preview: Purpose: This study investigates the utility of Dual-Energy Computed Tomography (DECT) material decomposition in resolving Magnetic Resonance Imaging (MRI) safety concerns for patients with unidentifi...

Advancing the Evaluation of Radiation-Induced Vaginal Toxicity Using Ultrasound Radiomics: Phantom Validation and Pilot Clinical Study

Authors: Himanshu Joshi, Tian Liu, Deborah C Marshall, Joseph Shelton, Jing Wang, Xiaofeng Yang, Emi Yoshida, Boran Zhou

Affiliation: Department of Radiation Oncology, Baylor College of Medicine, Icahn School of Medicine at Mount Sinai, Emory University, Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, Department of Radiation Oncology, University of California, Department of Radiation Oncology and Winship Cancer Institute, Emory University

Abstract Preview: Purpose: Radiation-induced long-term toxicities, such as vaginal stenosis, significantly impact the quality of life for patients undergoing pelvic radiotherapy (RT) for gynecologic (GYN) malignancies....

Anatomical Noise Power Exponent (β) As an Image-Based Risk Factor for Breast Cancer

Authors: Yile Fang, Leslie Lamb, Nathaniel David Mercaldo, Kai Yang

Affiliation: Massachusetts General Hospital

Abstract Preview: Purpose: To quantitatively evaluate power-law exponent β as a potential image-based breast cancer risk factor.

Methods: Two groups of breast cancer screening cohorts (target vs. control, 20 sub...

Application of a Conditional Diffusion Model to Improve Real-Time MR Imaging in Online Adaptive MR-Guided Radiotherapy

Authors: Hideaki Hirashima, Haruo Inokuchi, Nobutaka Mukumoto, Naruki Murahashi, Mitsuhiro Nakamura, Megumi Nakao, Keiko Shibuya, Linna Zhang

Affiliation: Kyoto University, Osaka Metropolitan University

Abstract Preview: Purpose:
To transform the quality of 2D cine MR images acquired during online adaptive MR-guided radiotherapy (OA-MRgRT) by utilizing a conditional diffusion model to achieve image quality comparab...

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...

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...

Cherenkov to Dose Trends with Small Field Beams

Authors: Jeremy Eric Hallett, Aubrey Parks, Brian W Pogue

Affiliation: University of Wisconsin - Madison, University of Wisconsin-Madison

Abstract Preview: Purpose: Cherenkov imaging visualizes radiotherapy beams, assuming emission is proportional to deposited dose. However, attempts for Cherenkov as a quantitative dose estimation have been unsuccessful ...

Comprehensive Analysis of Plan Modulation in SRS/SBRT Plans: A Single Institution Study of 461 Cases

Authors: Yunfeng Cui, Will Giles, Xinyi Li, Ke Lu, Jennifer C. O'Daniel, Anna E. Rodrigues, Chunhao Wang, Lana Wang, Yibo Xie, Sua Yoo, Jingtong Zhao

Affiliation: Duke University, Duke University Medical Center

Abstract Preview: Purpose:
To establish quantitative measurement of plan modulation for SRS/SBRT treated with Volumetric Modulated Arc Therapy (VMAT) on C-arm LINACs.
Methods:
A total of 461 plans were analyze...

Decision Support for Adaptive Vs Non-Adaptive SBRT for Left-Sided Adrenal Tumors

Authors: Robbie Beckert, Austen N. Curcuru, Farnoush Forghani, Yi Huang, Geoffrey D. Hugo, Hyun Kim, Eric Laugeman, Luke Christian Marut, Thomas R. Mazur, Allen Mo, Emily Sigmund

Affiliation: Washington University in St. Louis School of Medicine, WashU Medicine, Washington University School of Medicine in St. Louis, Wash U Medicine, Washington University in St. Louis, Department of Radiation Oncology, Washington University School of Medicine in St. Louis

Abstract Preview: Purpose: Adaptive SBRT is resource intensive, requiring additional personnel for online planning, and should be reserved for cases where it is most beneficial. The purpose of this research is to creat...

Deep Dive of Clinical 5DCT Patient Results

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

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

Abstract Preview: Purpose: To demonstrate the performance of the model-based CT scanning protocol, 5DCT, as an alternative to 4DCT.
Methods: 5DCT imaging results for 242 patients were analyzed. Implementation of the...

Determination of Optimal Surface Rois for Sgrt-Guided Dibh Treatment of Abdominal Cancer

Authors: Megan E. Daly, Ajay Fernandez, Ryan D. Hernandez, Soo Kyoung Kim, Arta Monjazeb, Minahal Naveed, Peter C. Park, Jotsna Singh, Payton H. Stone

Affiliation: UC Davis Cancer Center

Abstract Preview: Purpose: To identify optimal deep-inspiration breath-hold (DIBH) surface-guided radiotherapy (SGRT) regions of interest (ROIs) for abdominal stereotactic body radiation therapy (SBRT) treatments.
M...

Development and Evaluation of Fat Fraction Reference Materials for Magnetic Resonance Imaging

Authors: Hyo-Min Cho, Cheolpyo Hong, Changwoo Lee, Sunyoung Lee

Affiliation: Daegu Catholic University, Korea Research Institute of Standards and Science (KRISS), Korea Research Institute of Standards and Science

Abstract Preview: Purpose: With the increasing prevalence of metabolic syndrome, the importance of diagnosing obesity and fatty liver diseases has grown significantly. As a result, there is a rising demand for non-inva...

Dosimetric Comparative Analysis of Modulated and Non Modulated Electron Bolus in Nasal Electron Therapy

Authors: Stephen D. Davis, Alonso N. Gutierrez, Noah S. Kalman, Michael Leyva, Alejandro Rene Llanes Lopez, William Romaguera, Ranjini P. Tolakanahalli, Deborah Wang

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

Abstract Preview: Purpose: To evaluate whether a modulated electron bolus (MEB) technique improves both nominal and shifted dose distributions in nasal electron therapy as compared to a non‑modulated, uniform‑thickness...

Efficient Monte Carlo Simulation of Radiation-Induced Double Strand Break Production and Repair Kinetics

Authors: Zakaria Aboulbanine, Greeshma A. Agasthya, Paul Inman, Anuj J. Kapadia, Anthony Hong Cheol Lim, Jayasai Ram Rajagopal, Chris C. Wang

Affiliation: Oak Ridge National Laboratory, Georgia Institute of Technology

Abstract Preview: Purpose: Radiobiological simulation via TOPAS-nBio requires significant computational resources and time to provide meaningful results. This study aims to decrease simulation time and computational re...

Emulating Human Perception of Low-Dose CT Image Quality Via Deep Generative Models

Authors: Jongduk Baek, Jooho Lee, Adam S. Wang

Affiliation: Stanford University, Yonsei University

Abstract Preview: Purpose: Optimizing the balance between radiation dose and image quality in computed tomography (CT) is important for minimizing patient X-ray exposure while maintaining diagnostic accuracy. While rad...

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 Proton Treatment and Mitigating Radiation-Induced Lung Injury Using a Novel Cycle Diffusion Approach for Lung Ventilation Estimation

Authors: Yang Lei, Haibo Lin, Tian Liu, Charles B. Simone, Shouyi Wei, Ajay Zheng

Affiliation: Icahn School of Medicine at Mount Sinai, New York Proton Center

Abstract Preview: Purpose: Radiation-induced lung injury (RILI), encompassing pneumonitis and fibrosis, represents a critical dose-limiting factor in lung cancer radiation therapy. Variability in treatment outcomes is ...

Enhancing Synthetic Pelvic CT Images from CBCT Using Vision Transformer with Adaptive Fourier Neural Operators

Authors: Rashmi Bhaskara, Oluwaseyi Oderinde

Affiliation: Purdue University

Abstract Preview: Purpose: This study proposes a novel approach to overcoming CBCT image quality limitations by developing an improved synthetic CT (sCT) generation method based on a CycleGAN architecture using Vision ...

Evaluating PET-Based Metrics to Identify Patients with Liver Metastases for Biology-Guided Radiotherapy

Authors: Girish Bal, Ke Colin Huang, Christopher F. Njeh, Oluwaseyi Oderinde, Yong Yue

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

Abstract Preview: Purpose: Biology-guided radiotherapy (BgRT) uses real-time positron emission tomography (PET) signals to precisely direct radiotherapy beamlets. The success of BgRT planning and delivery relies on PET...

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

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

Affiliation: University Hospitals Seidman Cancer Center

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

Evaluating 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 Cherenkov Imaging for Dose Verification in Total Skin Electron Therapy

Authors: Petr Bruza, David J. Gladstone, Lesley A Jarvis, Natasha Mulenga, Kevin J. Willy

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

Abstract Preview: Purpose: The goal of this work was to use Cherenkov emission imaging to verify patient position, accessory block positioning and dose delivery in Total Skin Electron Therapy (TSET).

Methods: A ...

Evaluation of Fractional Variability in High-Risk Clinical Target Volume (HR-CTV) during High-Dose-Rate Brachytherapy for Cervical Cancer: A Retrospective Analysis for Adaptive Treatment Planning.

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

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

Abstract Preview: Purpose: To analyze volume changes in the high-risk clinical target volume (HR-CTV) during high-dose rate (HDR) brachytherapy for cervical cancer patients. The study aims to evaluate the trend and cor...

Evaluation of MR Proton Density Fat Fraction (PDFF) for Bone Marrow Protection in RT

Authors: Li Tong, Chuyan Wang, Zhengkui Wang, Yingli Yang, Jie Zhang

Affiliation: Shanghai United imaging Healthcare Advanced Technology Research Institute, Shanghai United Imaging Healthcare Co., LTD, Department of Radiology, Ruijin Hospital, Institute for Medical Imaging Technology, Ruijin Hospital

Abstract Preview: Purpose:
Pelvic radiotherapy (RT)-induced bone marrow (BM) damage affects patient prognosis by causing hematologic toxicity. However, consensus on BM-sparing (BMS) RT is still lacking, owing to the...

Exploring the Universal Correlation between DNA Damage Distribution and Cell Surviving Fraction in Photon, Proton, and Carbon Ion Irradiations

Authors: Lawrence F. Bronk, Fada Guan, Xun Jia, Youfang Lai, Miao Qi

Affiliation: Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Johns Hopkins University, Department of Radiation Physics, The University of Texas MD Anderson Cancer Center

Abstract Preview: Purpose: DNA double-strand breaks (DSBs) are widely regarded as critical indicators of cellular response to ionizing radiation. This study aims to establish a direct, unbiased and universal correlatio...

Frequent MR Imaging of Fibrosis during Radiation Therapy: Implications for Adaptive RT in Gynecologic Cancer

Authors: Himanshu Bhat, Bruce Lewis Daniel, Junghoon Lee, Michael B. Roumeliotis, Ehud J. Schmidt, Ravi Seethamraju, Khadija Sheikh, Pan Su, Akila N. Viswanathan

Affiliation: Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Siemens Medical Solutions USA Inc., Stanford Medical School, Department of Cardiology, Johns Hopkins University

Abstract Preview: Purpose: To perform frequent MRI during EBRT and brachytherapy (BT) to evaluate RT-induced fibrosis and remnant tumor changes, identified using ultrashort echo-time (UTE) and multiparametric (mpMRI), ...

From Concept to Clinic: A Phase-Based Approach for Implementing Auto-Segmentation in Radiation Therapy

Authors: Elizabeth L. Covington, Robert T. Dess, Charles S. Mayo, Michelle L. Mierzwa, Dan Polan, Jennifer Shah, Claire Zhang

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

Abstract Preview: Purpose: Auto-segmentation improves contour consistency and standardization in radiation therapy but may introduce variations from current practices, potentially impacting treatment outcomes and toxic...

From Noisy Signals to Accurate Maps: Transforming Look-Locker MRI with an Intelligent T₁ Estimation

Authors: Prabhu C. Acharya, Hassan Bagher-Ebadian, Stephen L. Brown, James R. Ewing, Mohammad M. Ghassemi, Benjamin Movsas, Farzan Siddiqui, Kundan S Thind

Affiliation: Michigan State University, Oakland University, Henry Ford Health

Abstract Preview: Purpose: Accurate T1 quantification using T One by Multiple Read Out Pulse (TOMROP) sequences is essential for physiological assessments in dynamic-contrast-enhanced (DCE) MRI and T1 mapping studies. ...

Generalizable 7T T1 Map Synthesis from 1.5T and 3T T1W MRI for High-Resolution MRI-Guided Radiation Therapy

Authors: Zachary Buchwald, Chih-Wei Chang, Zach Eidex, Hui Mao, 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, Emory University School of Medicine

Abstract Preview: Purpose: MRI-guided radiation therapy (MRgRT) benefits significantly from enhanced soft-tissue contrast and spatial resolution, which aid in accurately delineating tumors and organs at risk. Although ...

Generalized 2D Cine Multi-Modal MRI-Based Dynamic Volumetric Reconstruction Using Motion-Aligned Implicit Neural Network with Spatial Prior Embedding

Authors: Ming Chao, Karyn A Goodman, Yang Lei, Tian Liu, Jing Wang, Jiahan Zhang

Affiliation: Icahn School of Medicine at Mount Sinai

Abstract Preview: Purpose: Real-time volumetric MRI is essential for motion management in MRI-guided radiotherapy (MRIgRT), yet acquiring high-quality 3D images remains challenging due to time constraints and motion ar...

Image Quality Improvement Using a Patient-Specific Post-Trigger Delay Protocol for Coronary CT Angiography

Authors: Cecelia Brewington, Connor Edwards Miles All Leska-Kent, Kyrillos Grace, Katherine Hyde, Sabee Molloi, Shiva Mostafavi, Liqiang Ren, Alireza Shojazadeh, Justin Truong

Affiliation: Department of Radiology, UT Southwestern Medical Center, University of California, Irvine, University of Texas Southwestern

Abstract Preview: Purpose: To retrospectively assess image quality in coronary CT angiography (CCTA) using a patient-specific post-trigger delay (PTD) protocol, developed using half of the injection time plus a dispers...

In silico Evaluation Vs Standard Phantom Evaluation of a Deep Learning Reconstruction Algorithm

Authors: Naruomi Akino, Kirsten Lee Boedeker, Ilmar Hein, Dylan Mather, Akira Nishikori, Daniel W Shin

Affiliation: Canon Medical Systems Corporation, Canon Medical Research USA

Abstract Preview: Purpose: To validate the performance a deep learning reconstruction (DLR) algorithm in an anatomical background compared to a uniform phantom background.
Methods: An analytic forward projection mod...

Investigation of Low Iodine Concentration Detectability of Dual-Energy CT Imaging Using a Customized 3D Printed Phantom

Authors: Michalis Aristophanous, Laura I. Cervino, Maria F. Chan, Puneeth Iyengar, Hsiang-Chi Kuo, Nancy Y Lee, Xiang Li, Seng Boh Gary Lim, Usman Mahmood, Jean M. Moran, Jason Ocana

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

Abstract Preview: Purpose: To determine the limits of iodine concentration detection (LOD) and quantification (LOQ) in dual-energy computed tomography using a 3D printed phantom while considering different background, ...

Log File-Based Patient-Specific QA As a Viable Alternative to Measurement-Based QA in IMPT

Authors: Sina Mossahebi, Pouya Sabouri, Kayla Schneider, James W Snider

Affiliation: University of Maryland School of Medicine, Proton International, Department of Radiation Oncology, University of Arkansas for Medical Sciences (UAMS), Department of Radiation Oncology, University of Arkansas for Medical Sciences

Abstract Preview: Purpose:
Conventional patient-specific QA (PSQA) for intensity-modulated proton therapy (IMPT) requires extensive measurements, straining resources in single-room proton centers. This study evaluat...

Motion Correction-Driven Patient-Specific 2D Cine MRI-Based Dynamic Volumetric Reconstruction for MRI-Guided Radiotherapy Intra-Fractional Motion Monitoring

Authors: Karyn A Goodman, Yang Lei, Tian Liu, D. Michael Lovelock, Charlotte Elizabeth Read, Jing Wang, Jiahan Zhang

Affiliation: Icahn School of Medicine at Mount Sinai

Abstract Preview: Purpose: Real-time volumetric MRI is essential for precise motion management in MRI-guided radiotherapy (MRIgRT). While 2D Cine MRI offers high temporal resolution for motion tracking, it inherently l...

Multi-Institutional Analysis of CT Dose Index Variability and Radiomics Features

Authors: Caroline Chung, Michael Knopp, Stephen F. Kry, Hunter S. Mehrens, John Rong

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

Abstract Preview: Purpose: To evaluate the variability of CT dose index (CTDIvol) and radiomics features across a large cohort of radiotherapy simulation CT scans from multiple institutions.
Methods: Three IROC phan...

Multiparametric and Low-Field MRI for Biomimetic MRI-Readable Gel Dosimeters

Authors: Kaitlyn M Betz, David Dunkerley, Eric Johnson, Kalina V Jordanova, Kathryn E. Keenan, Samuel D Oberdick, Gregory P. Penoncello, Stephen E Russek

Affiliation: Dept of Radiology, Stanford, University of Colorado School of Medicine, NIST, College of Wooster

Abstract Preview: Purpose: Examine use of low-field MRI and multiparametric analysis for 3D MRI-readable biomimetic gel dosimetry. Low-field MRIs are compact, inexpensive, and portable. They could be located within rad...

Noise Sensitivity of Benchmark Whole-Body CT Segmentation Models: Totalsegmentator and Vista3D Performance on an Independent Dataset

Authors: Samuel L. Brady, Shruti Hegde, Alexander Knapp, Usman Mahmood, Joseph G. Meier, Elanchezhian Somasundaram, Zachary Taylor

Affiliation: Cincinnati Children's Hospital Medical Ctr, Department of Medical Physics, Memorial Sloan Kettering Cancer Center, Cincinnati Children's Hospital Medical Center, Cincinnati Childrens Hospital Med Ctr

Abstract Preview: Purpose:
To assess how two benchmark multi-organ CT segmentation models respond to varying image noise levels.
Methods:
This study utilized the pediatric CT dataset from The Cancer Imaging Ar...

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 Ultra-Sparse k-Space Reconstruction Using Motion Decomposition and Sinusoidal Representation Networks for Dynamic Volumetric MRI in Radiotherapy

Authors: Karyn A Goodman, Yang Lei, Tian Liu, Charlotte Elizabeth Read, Jing Wang, Qian Wang, Jiahan Zhang

Affiliation: Icahn School of Medicine at Mount Sinai, Department of Radiation Oncology, Beth Israel Deaconess Medical Center

Abstract Preview: Purpose: Accurate motion management in MRI-guided radiotherapy (MRIgRT) relies on real-time volumetric MRI to track intra-fractional anatomical changes. Dense k-space sampling, while capable of produc...

Predicting and Monitoring Response to Head and Neck Cancer Radiotherapy Using Multi-Modality Imaging and Radiobiological Digital Twin Simulations

Authors: Eric Aliotta, Michalis Aristophanous, Joseph O. Deasy, Bill Diplas, Milan Grkovski, James Han, Vaios Hatzoglou, Jeho Jeong, Nancy Y Lee, Ramesh Paudyal, Nadeem Riaz, Heiko Schoder, Amita Shukla-Dave

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

Abstract Preview: Purpose: To forecast radiotherapy treatment response for head and neck cancer (HNC) using multimodality imaging and personalized radiobiological modeling.
Methods: Multi-modality imaging data from ...

Predictive Quality of Differing Body Size Measurands for Radiation Risk Estimation in CT Imaging: A Virtual Trial Study

Authors: Njood Alsaihati, Francesco Ria, Ehsan Samei, Justin B. Solomon, Martina Talarico, Jered Wells

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

Abstract Preview: Purpose: Radiation dose and associated risk in X-ray imaging is principally informed by patient size, further used in Computed Tomography (CT) to achieve prescribed image quality levels through tube c...

Quality Assurance Program for Dual Energy Subtraction Imaging-Based Markerless Tumor Tracking

Authors: Hyejoo Kang, Andrew Keeler, Mathias Lehmann, Jason Patrick Luce, Ha Nguyen, John C. Roeske

Affiliation: Varian Imaging Laboratory, 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: Markerless tumor tracking (MTT) using dual-energy (DE) subtraction imaging is being considered as a non-invasive method to track tumors during lung cancer treatment. Prior to clinical impleme...

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

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

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

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

Quantitative Fluorescence Molecular Tomography Guide Radiation Therapy

Authors: Jiahao Chen, Yunwen Huang, Yidong Yang, Shanshan Zhang, Ning Zhao, Cheng Zheng

Affiliation: Department of Life Sciences and Medicine, University of Science and Technology of China, Department of Engineering and Applied Physics, University of Science and Technology of China, University of Science and Technology of China

Abstract Preview: Purpose: To develop a molecular image-guided radiotherapy technique for accurate and effective radiation treatment using quantitative fluorescence molecular tomography (FMT).
Methods: X-ray cone be...

Quantitative Image Review Metric for Vertebral Body Misalignment

Authors: Luis E. Fong de los Santos, Douglas John Moseley, Satomi Shiraishi, Cenji Yu

Affiliation: Mayo Clinic

Abstract Preview: Purpose: To quantitatively detect errors in vertebral body localization using normalized cross correlation (NCC)

Methods: Volumetric images of a thoracic end-to-end SBRT phantom with a removabl...

Region-Specific Structure-Function Coupling Alterations in Parkinson’s Disease: Insights from Multi-Modal MRI

Authors: Yifei Hao, Ting Huang, Wenxuan Li, Xiang Li, Manju Liu, Rong Liu, Tao Peng, Yulu Wu, Fang-Fang Yin, Lei Zhang, Yaogong Zhang, Jiangtao Zhu

Affiliation: Duke University, Department of Radiology, The Second Affiliated Hospital of Soochow University, School of Future Science and Engineering, Soochow University, Medical Physics Graduate Program, Duke Kunshan University

Abstract Preview: Purpose: This study investigates the alterations in structure-function coupling (SC-FC) networks in Parkinson’s disease (PD) patients, focusing on region-specific disruptions and compensatory mechanis...

Robust Evaluation of Rotational Uncertainties on Single-Isocenter Multi-Target Stereotactic Radiosurgery Hyperarc Treatment

Authors: Albert Admasu, Kayla Alfonso, Maria de la Luz De Ornelas, Nesrin Dogan, Eric Mellon, Yunze Yang

Affiliation: University of Miami, Department of Radiation Oncology, University of Miami, University of Miami Sylvester Comprehensive Cancer Center

Abstract Preview: Purpose: Rotational uncertainties in single-isocenter multi-target (SIMT) stereotactic radiosurgery (SRS) HyperArc treatments can cause additional target displacement, potentially degrading overall pl...

Sensitivity of CT Ventilation Imaging to Image Acquisition and Reconstruction Parameters: A Phantom Study

Authors: Hilary Louisa Byrne, Paul J. Keall, John Kipritidis, Jeremy Lim

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

Abstract Preview: Purpose:
Non-contrast CT ventilation imaging (CTVI) has been developed as a cost-effective and accessible alternative to PET/SPECT V/Q imaging for visualizing lung function. However, the sensitivit...

Signal-to-Noise Ratio Estimation from Polynomial Fitting of Acr MRI Phantom Images

Authors: Alex Lindgren-Ruby, Jeffrey M. Moirano, Joseph Everett Wishart

Affiliation: University of Washington

Abstract Preview: Purpose:
To evaluate polynomial fitting of signal intensity for signal-to-noise ratio (SNR) estimation from weekly QC ACR MRI phantom images and compare against other SNR estimation methods as well...

Spatial Resolution Degradation in Weekly Computed Tomography Quality Control and Implications for X-Ray Tube Replacement

Authors: Hadley Anna DeBrosse, Kevin J. Little

Affiliation: The Ohio State University

Abstract Preview: Purpose: This work examines the consistency and pattern of spatial resolution degradation in weekly quality control (QC) testing prior to CT tube failure and replacement and investigates potential cor...

Standardizing Hybrid Angio-CT Procedure Terminology: Mapping to Acr Common Lexicon for Future Drl Establishmen

Authors: Manuel M. Arreola, Hugh Davis, Daniella Fabri, Emily L. Marshall, BC Schwarz

Affiliation: University of Florida

Abstract Preview: Purpose:
This study aims to map procedure names, descriptions, and CPT codes from a Hybrid Angio-CT room to the American College of Radiology (ACR) Common Lexicon. This mapping will support expedit...

Streamlining Quality Control for Radiographic and Fluoroscopic Systems

Authors: Caroline Cheney, Patricia G Collins, Allen R. Goode, Preston Le, Andrew M. Polemi, Angela Snyder

Affiliation: UVA Health, Atirix Medical Systems

Abstract Preview: Purpose: Optimize ongoing quality control (QC) for radiographic (DR) and fluoroscopic (FL) systems by identifying metrics most sensitive to hardware disruptions among regional noise, pooled noise, sig...

Task Specific Image Quality Assessment Using Spectral Photon-Counting CT.

Authors: Azza Mohamed Ahmed, Nadine Francis, Osama Khan, Nabil Maalej, Aamir Raja, Briya Tariq

Affiliation: Khalifa University

Abstract Preview: Purpose: The study aims to evaluate the task-specific diagnostic performance of spectral photon-counting CT (SPCCT) using application-specific phantoms.
Methods:
Parameters such as linearity res...

To Investigate the Utility of Magnetic Resonance Imaging (MRI)-Based Radiomics for Predicting Tumor Response and Adverse Effects, Specifically Gastrointestinal (GI) Toxicity, in Cervical Cancer Patients Undergone Radiotherapy.

Authors: Issam M. El Naqa, Kurukulasuriya Ruwani Fernando, Himani Himani, Vivek Kumar, Arun Oinam, Manju Sharma

Affiliation: Panjab University, Moffitt Cancer Center, H. Lee Moffitt Cancer Center, Post Graduate Institute of Medical Sciences, University of California San Francisco

Abstract Preview: Purpose: To investigate the utility of Magnetic Resonance Imaging (MRI)-based radiomics for predicting tumor response and adverse effects, specifically gastrointestinal (GI) toxicity, in cervical canc...

Validation of Synthetic CT-Based Online Monitoring for Adaptive Proton Therapy

Authors: Ozgur Ates, Chin-Cheng Chen, Chia-Ho Hua, Matthew J. Krasin, Thomas E. Merchant

Affiliation: St. Jude Children's Research Hospital

Abstract Preview: Purpose: To validate the use of synthetic CTs generated from CBCT images for online monitoring, ensuring accurate and reliable daily plan quality assessments in adaptive proton therapy (APT).
Metho...

Weak-to-Strong Generalization for Interpretable Deep Learning-Based Histological Image Classification Guided By Hand-Crafted Features

Authors: Mark Anastasio, Zong Fan, Hua Li, Changjie Lu, Lulu Sun, Xiaowei Wang, Zhimin Wang, Michael Wu

Affiliation: University of Illinois at Urbana-Champaign, University of Illinois at Chicago, Washington University School of Medicine, University of Illinois Urbana-Champaign, Washington University in St. Louis, University Laboratory High School

Abstract Preview: Purpose: Histological whole slide images (WSIs) are vital in clinical diagnosis. Although deep learning (DL) methods have achieved great success in this task, they often lack interpretability. Traditi...