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Results for "calibration framework": 11 found

A Novel Margin-Based Focal Distance Loss for Lesion Segmentation in Medical Imaging

Authors: Weiguo Lu, Hua-Chieh Shao, Guoping Xu, You Zhang

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

Abstract Preview: Purpose:
Neural network-based lesion segmentation remains a significant challenge due to the low contrast between lesions and surrounding tissues (high ambiguity) and the variability of lesion shap...

A Novel Non-Measured and DVH-Based IMRT QA Framework with Machine Learning for Instant Classification of Susceptible Lung SBRT VMAT Plans

Authors: Chuan He, Anh H. Le, Iris Z. Wang

Affiliation: Roswell Park Comprehensive Cancer Center, Cedars-Sinai

Abstract Preview: Purpose: To develop a non-measured and DVH-based (NMDB) IMRT QA framework integrating machine learning (ML) to classify lung SBRT VMAT plans prone to delivery errors
Methods: 560 Eclipse AcurosXB l...

Artificial Intelligence (AI)-Driven Automatic Contour Quality Assurance (QA) with Uncertainty Quantification

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: Accurate delineation of treatment targets and organs-at-risk is crucial for radiotherapy. Despite significant progress in artificial intelligence (AI)-based automatic segmentation tools, effi...

BEST IN PHYSICS ULTRASOUND: A Calibration Framework for Quantifying Element Misalignment in 2D Matrix Array Transducers Used in 3D Quantitative Ultrasound

Authors: Cristel Baiu, Laura Castaneda Martinez, Ivan M. Rosado-Mendez

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

Abstract Preview: Purpose: 2D matrix array transducers (2DMAT) are advancing volumetric ultrasound due to their ability to provide more isotropic 3D resolution, fast volumetric imaging, and highly customizable focusing...

Deep Autoencoder for Ring Artifact Denoising in Photon-Counting CT

Authors: Magdalena Bazalova-Carter, James Day, Xinchen Deng

Affiliation: University of Victoria

Abstract Preview: Purpose:
Ring artifacts in Photon-Counting Computed Tomography (PCCT) images can degrade image quality. this study aims to suppress ring artifacts with a novel autoencoder-based framework that leve...

Development of Preclinical Multiscale Dosimetry for Beta-Particle Emitting Radionuclide in Radiopharmaceutical Therapy

Authors: Adedamola Adeniyi, Bryan Bednarz, Malick Bio Idrissou, Reinier Hernandez, Ohyun Kwon, Brian W. Miller, Zachary S Morris, Maya Takashima, Jamey Weichert

Affiliation: Departments of Radiation Oncology and Medical Imaging, University of Arizona, Department of Medical Physics, School of Medicine and Public Health, University of Wisconsin - Madison, Department of Medical Physics, School of Medicine and Public Health, University of Wisconsin–Madison, Department of Radiology, School of Medicine and Public Health, University of Wisconsin–Madison, Department of Human Oncology, School of Medicine and Public Health, University of Wisconsin–Madison

Abstract Preview: Purpose: As radiopharmaceutical therapy (RPT) becomes more prevalent in clinical applications, understanding dose-response relationships in the tumor microenvironment (TME) and normal tissues is essen...

Discriminative Uncertainty Learning for Cancer Classification

Authors: Wei Wei, Yading Yuan

Affiliation: Columbia University Irving Medical Center, Department of Radiation Oncology

Abstract Preview: Purpose: To investigate an uncertainty modeling method to improve the performance of cancer classification with the ability to produce uncertainty score.
Methods: Deep learning has achieved state-o...

Feasibility of a Bench-Top Pcct Model for Electronic Density Measurements: A Monte Carlo Simulation Study

Authors: Gisell Ruiz Boiset, Paulo ROBERTO Costa, Renan Felix dos Santos, Gustavo Freire Pereira da Silva, Alessandra Tomal

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

Abstract Preview: Purpose: Evaluate the feasibility of a bench-top PCCT using Geant4 Monte Carlo simulations. The study applied the Geant4 framework on determining the electronic density of materials as a function of C...

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...

Head and Neck Treatment Evaluation with Cone Beam Computed Tomotherapy

Authors: Varsha Jain, Jun Kang, Paul Sulivan, Kate E. Verma, Yevgeniy Vinogradskiy

Affiliation: Thomas Jefferson University

Abstract Preview: Purpose:
Patients undergoing treatment for head and neck(H&N) cancers experience significant body contour changes throughout treatment. Body contour changes are due to tumor shrinkage, weight loss,...

Universal Range Modulators for Flash Proton Therapy: 3D Printing of Stackable Variable Density Units

Authors: Eric S. Diffenderfer, Lei Dong, Alejandro Garcia, Wenbo Gu, Michele M. Kim, Alexander Lin, Kai Mei, Peter B. Noël, Boon-Keng Kevin Teo, Lingshu Yin, Jennifer Wei Zou

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

Abstract Preview: Purpose: We present a novel 3D-printed range-modulating devices with spatially modulated density for FLASH particle therapy. By varying density distributions, spread-out Bragg peaks(SOBPs) can be gene...