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Results for "estimation error": 29 found

A Conditional Point Cloud Diffusion Model for Deformable Liver Motion Tracking Via a Single Arbitrarily-Angled X-Ray Projection (PCD-Liver)

Authors: Yunxiang Li, Hua-Chieh Shao, Chenyang Shen, Jing Wang, Jiacheng Xie, Shunyu Yan, You Zhang

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

Abstract Preview: Purpose: Accurate liver deformable motion tracking is essential in image-guided radiotherapy to enable precise tumor targeting during treatment. We developed a conditional point cloud diffusion model ...

A Dynamic Reconstruction and Motion Estimation Framework for Cardiorespiratory Motion-Resolved Real-Time Volumetric MR Imaging (DREME-MR)

Authors: Jie Deng, Xiaoxue Qian, Hua-Chieh Shao, 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

Abstract Preview: Purpose: Based on a 3D pre-treatment MRI scan, we developed DREME-MR to jointly reconstruct the reference patient anatomy and a data-driven, patient-specific cardiorespiratory motion model. Via a moti...

A Hybrid Population-Based and Patient-Specific Framework for 2D–3D Deformable Registration-Driven Limited-Angle Cone-Beam CT Estimation

Authors: Xiaoxue Qian, Hua-Chieh Shao, 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

Abstract Preview: Purpose:
Limited-angle CBCT (LA-CBCT) reduces imaging time and dose but suffers from under-sampling artifacts. 2D–3D deformable registration addresses this problem by estimating LA-CBCTs from defor...

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 Monte Carlo Dosimetry-Based Cell Survival Model Incorporating Spatial and Temporal Heterogeneity for Rpt Preclinical Studies

Authors: Alejandro Bertolet, Michael D. Farwell, Sarah Gitto, Victor V. Onecha, Daniel Pryma, Aladdin Riad

Affiliation: Department of Pathology and Laboratory Medicine, Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Department of Radiology, Perelman School of Medicine, Perelman School of Medicine at the University of Pennsylvania, Massachusetts General Hospital and Harvard Medical School

Abstract Preview: Purpose: Responses to ionizing radiation (IR) strongly correlate with the absorbed dose. At the cellular level, this is typically described by a linear-quadratic relationship provided the cell populat...

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...

An Initial Simulation Study Towards the Patient-Specific Estimation of Stopping Power Ratio and Sound Velocity Using Protoacoustics: A Sensitivity Matrix Method

Authors: Ye Chen, Koki Kasamatsu, Taeko Matsuura, Taichi Murakami

Affiliation: Hokkaido University, National Institutes for Quantum Science and Technology (QST)

Abstract Preview: Purpose: In proton therapy, CT-based estimation of the stopping power ratio (SPR) is a significant source of range uncertainty. Protoacoustics have been developed to estimate the range in vivo, but fe...

Assessment of Alpha-Fetoprotein As a Prognostic Factor of Overall Survival for HCC Patients Undergoing 90Y-Glass Trans-Arterial Radioembolization

Authors: Srinivas Cheenu Kappadath, James Long, Armeen Mahvash, Anna Marks, Ajalaya Teyateeti

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

Abstract Preview: Purpose:
Alpha-fetoprotein (AFP) has been implicated as prognostic factor of overall survival (OS) for hepatocellular carcinoma (HCC). We present a statistical approach to determine optimal AFP-cut...

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...

Development of a Knowledge-Based Planning Model for Optimal Trade-Off Guidance in Locally Advanced Non-Small Cell Lung Cancer

Authors: Ming Chao, Hao Guo, Tenzin Kunkyab, Yang Lei, Tian Liu, Kenneth Rosenzweig, Robert Samstein, James Tam, Junyi Xia, Jiahan Zhang

Affiliation: Icahn School of Medicine at Mount Sinai

Abstract Preview: Purpose:
The aim of the study is to develop a trade-off prediction model to efficiently guide the treatment planning process for patients with stage III non-small cell lung cancer (NSCLC).
Metho...

Enhanced Surface Dose Accuracy in Proton Treatment Planning: Optimizing External Volume HU Thresholding.

Authors: Michael Butkus, Camilo M. Correa Alfonso, Olga M. Dona Lemus, James Arthur Perez-Sanchez

Affiliation: University of Miami

Abstract Preview: Purpose: Accurate skin dose calculation is essential for treating superficial lesions such as those of the breast, chest wall, and scalp. Clinical treatment planning systems often rely on approximatio...

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 ...

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), ...

First in-Vivo Proton Radiography Experiments for an Image-Guided Small Animal Irradiation Platform with a TimePix3-Based Detector Setup

Authors: Niels Bassler, Jonathan Bortfeldt, Carlos Granja, Guyue Hu, Margarita Kozak, Julie Lascaud, Kirsten Lauber, Grigory Liubchenko, Jasper Nijkamp, Cristina Oancea, Prasannakumar Palaniappan, Katia Parodi, Marco Pinto, Per R. Poulsen, Marco Riboldi, Brita Singers Sørensen, Matthias Würl

Affiliation: Department of Nuclear Medicine, LMU University Hospital, LMU Munich, Department of Radiation Oncology, LMU University Hospital, LMU Munich, Department of Medical Physics, Ludwig-Maximilians-Universität München (LMU Munich), Danish Centre for Particle Therapy, Aarhus University Hospital, Department of Medical Physics, Ludwig-Maximilians-Universität (LMU) München, Department of Experimental Clinical Oncology, Aarhus University, Department of Oncology, Aarhus University Hospital, Advacam

Abstract Preview: Purpose: To apply in-vivo proton radiography (pRad) to aid image registration and treatment plan refinement for a novel precision image-guided small animal proton irradiation platform.

Methods:...

Impact of Transfer Learning on Estimation of Intravoxel Incoherent Motion Parameters in the Liver

Authors: Marissa Brown, Geoffrey D. Clarke, Luke Norton

Affiliation: University of Texas Health Science Center at San Antonio

Abstract Preview: Purpose: To evaluate how different learning strategies affect convolutional neural network (CNN) estimates of the liver's intravoxel incoherent motion (IVIM) parameters.
Methods: A 3-stage U-Net wa...

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

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

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

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

Non-Contact Blood Pressure Estimation Using Remote Photoplethysmography Signals Extracted from Facial Video: A Deep Learning Approach

Authors: Mavlonbek Khomidov, Jong-Ha Lee

Affiliation: Department of Biomedical Engineering, Keimyung University, Department of Computer Engineering, Keimyung University

Abstract Preview: Purpose: In this research, we aim to estimate blood pressure using remote photoplethysmography (rPPG) signal extracted from facial video. This method provides non-invasive and contactless, continuous ...

Optimization of Impulsed Acquisition Protocols on 1.5T MRI Using Simulation-Based Bayesian Experimental Design for Cell Size Imaging

Authors: Yan Dai, Jie Deng, Xun Jia, Wen Li, Junzhong Xu

Affiliation: Johns Hopkins University, Medical Artificial Intelligence and Automation (MAIA) Lab & Department of Radiation Oncology, UT Southwestern Medical Center, Department of Radiology, Vanderbilt University Medical Center, Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Medical Artificial Intelligence and Automation (MAIA) Laboratory, Department of Radiation Oncology, UT Southwestern Medical Center

Abstract Preview: Purpose: Cell size is a vital parameter in evaluating the tumor microenvironment, including cell apoptosis and radiotherapy(RT)-induced immune cell infiltration. The IMPULSED(Imaging Microstructural P...

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

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

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

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

Personalized Organ Dose Estimation Using Monte Carlo Simulations, Auto-Segmentation, and Anatomical Extension from Clinical CT Scans

Authors: Belen Juste, Choonsik Lee, Matthew Mille, Rafael Miró, Sergio Morato Rafet, Agustin Santos, Gumersindo Verdú

Affiliation: Division of Cancer Epidemiology and Genetics, National Cancer Institute, Universitat Politècnica de València, Servicio de Radiofísica y Protección Radiológica, Consorcio Hospitalario Provincial de Castellón, National Cancer Institute

Abstract Preview: Purpose: To evaluate the differences in CT scan radiation dose estimation between personalized dose reconstruction, based on real patient CT images, and generalized phantom-based dose calculations.

Photon-Counting CT for Estimation of Quantitative Information for Radiation Therapy Treatment Planning: Assessment of Scanning Conditions and Phantom Sizes

Authors: Carina Gassner, Guyue Hu, Thomas Kröncke, Christopher Kurz, Guillaume Landry, Katharina Niepel, Katia Parodi, Franka Risch, Florian Schwarz

Affiliation: Department of Radiation Oncology, LMU University Hospital, LMU Munich, Department of Diagnostic and Interventional Radiology, University Hospital Augsburg, Department of Medical Physics, Ludwig-Maximilians-Universität (LMU) München, Department of Medical Physics, Ludwig-Maximilians-Universität München (LMU Munich)

Abstract Preview: Purpose: To evaluate the performance of a clinical photon-counting CT (PCCT) scanner in terms of proton relative stopping power (RSP) estimation using PCCT data and to compare the impact of different ...

Prior-Adapted Progressive Motion-Resolved CBCT Reconstruction Using a Dynamic Reconstruction and Motion Estimation Method

Authors: Hua-Chieh Shao, You Zhang, Ruizhi Zuo

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

Abstract Preview: Purpose: Cone-beam CT (CBCT) provides on-board patient anatomy for image guidance and treatment adaptation in radiotherapy. However, to compensate for respiration-induced anatomical motion, motion-res...

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

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

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

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

Real-Time 3D Dose Verification for MR-Guided Online Adaptive Radiotherapy (ART) Via Geometry-Encoded Deep Learning Framework

Authors: Steve B. Jiang, Dan Nguyen, Chenyang Shen, Fan-Chi F. Su, Jiacheng Xie, Shunyu Yan, Daniel Yang, Ying Zhang, You Zhang

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

Abstract Preview: Purpose: Fast dose verification is essential for the safety and efficiency of MR-guided adaptive radiotherapy (ART) as patients anxiously waiting on the treatment couch. Conventional tools often requi...

Real-Time Automatic Treatment Planning System (RT-AutoTPS) for Volumetric Modulated Arc Radiotherapy (VMAT)

Authors: Steve B. Jiang, Austen Matthew Maniscalco, Dan Nguyen, Chenyang Shen, Jiacheng Xie, Shunyu Yan, Ying Zhang, You Zhang

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

Abstract Preview: Purpose: Although treatment planning systems (TPSs) can handle dose calculation and plan optimization automatically, planning for radiotherapy still requires extensive efforts and expertise from a mul...

Testing Experience in Dose Monitoring Solutions: Automation Aberrations in Automated Organ Dose Estimation

Authors: Lawrence T. Dauer, Yusuf Emre Erdi, Yiming Gao, Dustin W. Lynch, Usman Mahmood

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

Abstract Preview: Purpose: Radiation dose to patients in CT examinations (CTDIvol, DLP) is tracked in dose monitoring solutions. Some solutions push for automatically estimating patient organ doses based on exam images...

Towards Real-Time Marker-Less Prostate Tracking on Standard Radiation Therapy Systems

Authors: Freeman Jin, Paul J. Keall, Alistair MacDonald, Adam Mylonas, Chandrima Sengupta

Affiliation: Image X Institute, Faculty of Medicine and Health, University of Sydney, Image X Institute, Faculty of Medicine and Health, The University of Sydney, Image X Institute, School of Health Sciences, University of Sydney

Abstract Preview: Purpose: During radiation therapy, tumours in the prostate may move from the planned treatment position, leading to significant dose deviations above clinical tolerances Surveys have indicated the nee...

Validation of a Pharmacokinetic Model for Dosimetry in Nuclear Medicine

Authors: Farhad Jafari, Brandon Hai Nguyen

Affiliation: Department of Radiation Oncology, University of Minnesota Medical School, Department of Radiology, University of Minnesota

Abstract Preview: Purpose: To validate a bottom-up approach to dosimetry in nuclear medicine.

Methods: A pharmacokinetic model is developed to represent the flow of activity between different compartments of the...

Virtual Monoenergetic Imaging for Radiotherapy: A Single CT Acquisition for Both Target Delineation and Dose Calculation

Authors: Harold Y Hu, Yanle Hu, Shuai Leng, Maryam Sadeghian, Joe Swicklik

Affiliation: Mayo Clinic Arizona, Basis Scottsdale, Mayo Clinic

Abstract Preview: Purpose: Radiotherapy CT simulation often requires two scans: a non-contrast scan for dose calculation and a contrast-enhanced scan for target delineation. Photon-counting-detector (PCD) CT allows the...