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Results for "anatomical factors": 22 found

An Analytical Framework to Quantify the Effect Obstructing Anatomical Features in Intrafractional Spectral Imaging Using a Dual-Layer Kv Imager

Authors: Ross I. Berbeco, Vera Birrer, Raphael Bruegger, Pablo Corral Arroyo, Roshanak Etemadpour, Dianne M. Ferguson, Rony Fueglistaller, Thomas C. Harris, Yue-Houng Hu, Matthew W. Jacobson, Mathias Lehmann, Marios Myronakis

Affiliation: Medical Physics Department, Medical School, University of Thessaly, Brigham and Women's Hospital, Harvard Medial School, Dana-Farber Cancer Institute, Department of Radiation Oncology, Dana Farber/Brigham and Women's Cancer Center, Department of Radiation Oncology, Brigham and Women’s Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Brigham and Women's Hospital, Varian Imaging Laboratory

Abstract Preview: Purpose:
Dual-layer kV imager (DLI) architecture enables the capability for single-shot dual-energy (DE) intrafraction imaging. As noise from individual DLI layers are primarily uncorrelated, simpl...

Analysis of Orthopedic Metal Artifact Reduction’s (O-MAR’s) Effectiveness on Correcting Typical Anatomical Structure Average Volumetric Hounsfield Unit (AVHU) Values Due to High-Density Metal Artifacts

Authors: John T Barrett, Mehnaz Haque, Chulhaeng Huh, Shands James, Thomas B. Lavin, Anobel Maghsoodpour, Farshad Mostafaei, Austin Sanders

Affiliation: Department of Radiation Oncology, Augusta University, Department of Radiation Oncology, Medical College of Georgia, Augusta University, Georgia Radiation Therapy Center, Wellstar-MCG Health, Department of Radiation Oncology, Doctors Hospital of Augusta, Department of Radiology and Imaging, Augusta University

Abstract Preview: Purpose: This study assesses Philips’ O-MAR effectiveness in adjusting AVHU values of common anatomical materials affected by various high-density metal artifacts at varying distances.

Methods:...

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...

Assessing the Potential of Virtual Grid Portable Radiographic Systems for Radiation Dose Reduction: A Comparative Evaluation of Deviation Index in Abdominal Imaging

Authors: Gary Y. Ge, Azmul Siddique, Jie Zhang

Affiliation: Department of Radiology, University of Kentucky, University of Kentucky

Abstract Preview: Purpose: Virtual grid technology addresses scattered radiation without a physical grid, offering the potential to reduce patient radiation dose while maintaining image quality. However, this potential...

Combining Flat-Panel Imaging and Internal BB Markers for Precise HDR Brachytherapy Source Localization

Authors: Yibin Ling, Qihui Lyu, Ke Sheng

Affiliation: University of California Berkeley, Department of Radiation Oncology, University of California, San Francisco

Abstract Preview: Purpose:
High Dose Rate (HDR) brachytherapy enables radiation to concentrate on the tumor by sending the high-dose-rate radioactive source directly to the treatment site. On the other hand, the sha...

Comparative Analysis of Nine Deep Learning Architectures for Variable Density Grappa 1H Magnetic Resonance Spectroscopy Imaging (MRSI) Reconstruction

Authors: Kimberly Chan, Anke Henning, Mahrshi Jani, Andrew Wright, Xinyu Zhang

Affiliation: Advanced Imaging Research Center (AIRC), UT Southwestern Medical Center

Abstract Preview: Purpose: To evaluate the performance of multiple deep learning architectures for MRSI reconstruction and determine their effectiveness in maintaining high-resolution metabolite mapping while reducing ...

Computed Tomography Organ Dose Library Derived from Newly Developed Newborn-Infant-Toddler Computational Phantoms

Authors: Jared Baggett, Wesley E. Bolch, Lukas M. Carter, Robert Joseph Dawson, Laura Dinwiddie, Adam Leon Kesner, Cameron B. Kofler, Juan Camilo Ocampo Ramos, Yitian Wang, Stefan Wehmeier

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

Abstract Preview: Purpose: To develop a slice-specific computed tomography (CT) organ dose library using Monte Carlo radiation transport simulations on a newly created set of newborn, infant, and toddler computational ...

Design and Testing of a Portable Microwave Scanner for Imaging Soft Tissue and Tumors in Cancer Patients

Authors: Imad M. Ali, Nesreen Alsbou, Sakeeneh Majeed

Affiliation: University of Central Oklahoma, University of Oklahoma Health Sciences Center

Abstract Preview: Purpose: to design and assess a microwave imaging system equipped with multiple antennas for generating high-resolution 3D images of phantom models that simulate abdominal, thoracic, and brain tissues...

Developing an AI-Driven Predictor for Forecasting Treatment Outcomes in Patients with Early-Stage Breast Cancer

Authors: Lucy Jiang, Chengyu Shi

Affiliation: Department of Radiation Oncology, City of Hope Orange County, Amity Regional High School (10th Grade)

Abstract Preview: Purpose: Early-stage breast cancer is common among females, with typically high local tumor control rates (LCR). Brachytherapy is a common way to achieve LCR following surgery. However, the patients m...

Development of a Bayesian Network for a Comprehensive Uncertainty Assessment in Personalized Dosimetry after Targeted Radionuclide Therapy

Authors: Nadège Anizan, David Broggio, Eric Chojnacki, Estelle Davesne, Didier Franck, Stéphanie Lamart, Alexandre Pignard

Affiliation: Institut Bergonié, Service de Physique Médicale, Autorité de Sûreté Nucléaire et de Radioprotection (ASNR), PSE-SANTE/SDOS/LEDI, Autorité de Sûreté Nucléaire et de Radioprotection (ASNR), PSE-SANTE/SDOS, Autorité de Sûreté Nucléaire et de Radioprotection (ASNR), PSN-RES/SEMIA/LSMA

Abstract Preview: Purpose: To develop an innovative method enabling a comprehensive uncertainty budget associated to personalized absorbed doses for 177Lu-PSMA therapy and providing probability distributions of all dos...

Enhancing Radiotherapy Planning with Machine Learning: Correlating Anatomical Features and Planning Difficulty to Guide Optimal Plan Design

Authors: Li Chen, Shouliang Ding, Xiaoyan Huang, Lecheng Jia, Hua Li, Hongdong Liu, Yanfei Liu, Zun Piao, Guangyu Wang

Affiliation: State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Shenzhen United Imaging Research Institute of Innovative Medical Equipment

Abstract Preview: Purpose: Optimal radiotherapy planning is challenging, influenced by anatomical factors such as surrounding organs and tumor characteristics, which complicate dose distribution and target coverage. Wh...

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 ...

Image-Guided Adaptive Proton Therapy for Head and Neck Cancer Using a Novel Gantry-Less System

Authors: Philip Blumenfeld, Jon Feldman, Yair Hillman, Michael Marash, Aron Popovtzer, Alexander Pryanichnikov, Shimshon Winograd, Marc Wygoda, Vered Zivan

Affiliation: Institute of Biomedical Engineering, Karlsruhe Institute of Technology (KIT), P-Cure Ltd./Inc., Sharett Institute of Oncology, Hadassah Medical Center, Hebrew University of Jerusalem

Abstract Preview: Purpose:
Image-guided adaptive proton therapy (IGAPT) allows tailored dose adjustments to account for anatomical and physiological changes during treatment. Recent efforts have developed a cost-eff...

Improving Operational Efficiency in Head and Neck Proton Therapy through Adaptation Analysis

Authors: Laura Buchanan, Samantha G. Hedrick, Stephen L. Mahan, Isabella Pfeiffer, Chester R. Ramsey

Affiliation: Thompson Proton Center

Abstract Preview: Purpose: Proton therapy plans can be highly sensitive to both anatomical changes and positional errors, making the acquisition of Quality Assurance CT (QACT) images a routine clinical practice during ...

Innovative Biological Adaptive Radiotherapy (BART) Approach for Head-and-Neck Cancer Treatment Interruptions

Authors: Nobuki Imano, Daisuke Kawahara, Akito S Koganezawa, Yuji Murakami, Ikuno Nishibuchi, Takuya Wada

Affiliation: Department of Information and Electronic Engineering, Faculty of Science and Engineering, Teikyo University, Department of Radiation Oncology, Graduate School of Biomedical and Health Sciences, Hiroshima University

Abstract Preview: Purpose: Adaptive radiotherapy (ART) compensates for treatment plans based on anatomical changes while not considering biological effects such as interruptions during treatment. This study aims to dev...

Knowledge-Based Three-Dimensional Dose Prediction for High Dose Rate Prostate Brachytherapy

Authors: Mojtaba Behzadipour, Suman Gautam, Tianjun Ma, Ikchit Singh Sangha, Bongyong Song, William Song, Kumari Sunidhi

Affiliation: UC San Diego, Virginia Commonwealth University

Abstract Preview: Purpose: This study aims to develop a knowledge-based voxel-wise dose prediction system using a convolutional neural network (CNN) for high-dose-rate (HDR) prostate brachytherapy and to evaluate its p...

Knowledge-Informed Deep Learning for Accurate and Interpretable Extracapsular Extension Detection in Head and Neck Squamous Cell Carcinoma

Authors: William N. Duggar, Amirhossein Eskorouchi, Haifeng Wang

Affiliation: Mississippi State University, University of Mississippi Medical Center

Abstract Preview: Purpose:
Extracapsular extension (ECE) in lymph nodes represents a critical prognostic factor in head and neck squamous cell carcinoma (HNSCC), bearing important implications for staging, treatment...

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...

On Estimating Effective Doses Associated with Different Imaging Protocols for Weight-Bearing Imaging of the Hip with a Dedicated Cone Beam CT (CBCT) Scanner

Authors: Jeff Boob, Jaydev K. Dave, Tim Minch, Bhavyata Tanna

Affiliation: Dr. Ronald E. McNair Academic High School, Mayo Clinic, CurveBeam AI

Abstract Preview: Purpose: To estimate effective doses associated with different imaging protocols for hip imaging with a cone beam CT (CBCT) scanner specifically designed for weight-bearing acquisitions.
Methods: A...

Predicting CBCT-Based Adaptive Radiation Therapy Session Duration Using Machine Learning

Authors: Leslie Harrell, Sanjay Maraboyina, Romy Megahed, Maida Ranjbar, Xenia Ray, Pouya Sabouri

Affiliation: Department of Radiation Oncology, University of Arkansas for Medical Sciences (UAMS), University of California San Diego

Abstract Preview: Purpose: Real-time adaptive radiation therapy (ART) dynamically modifies patients’ treatment plan during delivery to account for anatomical and physiological variations. Addressing ART planning time v...

Spatially Aware Radiomics Integrating Anatomical Knowledge to Improve Lymph Node Malignancy Prediction in Head and Neck Cancer

Authors: Liyuan Chen, Sepeadeh Radpour, David Sher, Jing Wang

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

Abstract Preview: Purpose: Accurate lymph node malignancy prediction is pivotal in optimizing radiation treatment strategies for head and neck (HN) cancer patients. While conventional radiomics models leverage intensit...

Surface Dose Distribution Analysis Using Cherenkov Imaging for Total Skin Electron Therapy (TSET) with Scintillator and Osld Validation

Authors: Baozhu Lu, Hongjing Sun, Timothy C. Zhu, Yifeng Zhu

Affiliation: University of Pennsylvania

Abstract Preview: Purpose: This study aims to validate the feasibility of using Cherenkov imaging for surface dose distribution measurement during Total Skin Electron Therapy (TSET) by developing a perspective-correcte...