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Results for "relative optimized": 28 found

3D Bioprinted Brain Cancer Constructs for Experimental Synchrotron Radiotherapy

Authors: John Paul Ortiz Bustillo, Elette Engels, Elrick T. Inocencio, Michael Lerch, Julia Rebecca D Posadas, Anatoly Rosenfeld, Kiarn Roughley, Moeava Tehei, Gordon Wallace, Danielle Warren, Vincent de Rover

Affiliation: Centre for Medical Radiation Physics, University of Wollongong Australia, Department of Radiology, University of the Philippines- Philippine General Hospital, Intelligent Polymer Research Institute, ARC Centre of Excellence for Electromaterials Science, AIIM Facility, University of Wollongong Australia, Centre for Medical Radiation Physics, University of Wollongong, Intelligent Polymer Research Institute, ARC Centre of Excellence for Electromaterials Science, AIIM Facility, University of Wollongong, University of the Philippines Manila; Centre for Medical Radiation Physics, University of Wollongong Australia

Abstract Preview: Purpose: To compare the biological response through cell viability assay and fluorescence imaging of 3D bioprinted brain cancer (glioma) constructs relative to 2D monolayer and 3D spheroid culture for...

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 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 Novel Metric for Predicting Heart Dose Assessment in Left-Sided Breast Cancer Radiotherapy

Authors: Yufeng Cao, Arun Gopal, Kai Huang, Kai Wang

Affiliation: Department of Radiation Oncology, University of Maryland School of Medicine, Department of Radiation Oncology, University of Maryland Medical Center, University of Maryland, Baltimore

Abstract Preview: Purpose: The treatment of left-sided breast tumors poses significant concerns regarding the risk of radiation-induced damage to nearby organs, particularly the heart. In clinical practice, breath-hold...

Adaptive Proton Flash Therapy through Iterative Modular Pin Recycling

Authors: Zachary Diamond, Pretesh Patel, Sibo Tian, Xiaofeng Yang, David Yu, Ahmal Jawad Zafar, Jun Zhou

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

Abstract Preview: Purpose:
We propose a method to optimize adaptive proton FLASH therapy (ADP-FLASH) using modularized pin-ridge filters (pRFs) by recycling module pins from the initial plan, reducing pRF adjustment...

An Adaptive Non-Local Means Filtering Method for Denoising CBCT Images Under Low X-Ray Fluence Conditions

Authors: Cem Altunbas, Farhang Bayat

Affiliation: Department of Radiation Oncology, University of Colorado School of Medicine, Taussig Cancer Center, Cleveland Clinic

Abstract Preview: Purpose:
Low dose imaging and scatter rejection hardware in CBCT reduces X-ray fluence incident on the imager, increasing noise, causing photon starvation artifacts in CBCT images. In this work, we...

An Evaluation of an SRS Quality Assurance System for Complex Patient Plans.

Authors: John Bennet, Indrin J. Chetty, Tai H. Dou

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

Abstract Preview: Purpose:
To investigate the effect of complexity of stereotactic radiosurgery (SRS) volumetric modulated arc therapy plans on gamma pass rates (GPR) using a novel high-resolution ion chamber array ...

Application of a Flashdiamond Detector Coupled to a Beam Current Transformer to Commission a Monte Carlo Model of a Ultra-High Dose Rate Electron Beam

Authors: Javier Chiasson, Dominique Guillet, Arthur Lalonde, Karim Zerouali

Affiliation: Universite de Montreal, Centre Hospitalier de l'Universite de Montreal

Abstract Preview: Purpose:
To validate a Monte Carlo (MC) model of a Ultra-High dose rate (UHDR) electron beam using a prototype flashdiamond (fD) detector coupled to an electrostatically shielded beam current trans...

Clonogenic Assays for Three Prostate Cancer Cell Lines with Varying Levels of DNA Repair Mutations Treated with LET-Optimized Pencil Beam Scanning Protons and Evaluation of Dose Rate Effect

Authors: Mark E Artz, Jiyeon Park, Lori Rice, Mohammad Saki, Sanjeev Shukla, Michael Vieceli

Affiliation: University of Florida Health Proton Therapy Institute, Department of Radiation Oncology, University of Florida College of Medicine, UF Health Proton Therapy Institute, Department of Urology, University of Florida College of Medicine

Abstract Preview: Purpose: To investigate how varying levels of DNA repair mutations affect the LET sensitivity of prostate cancer cells.
Methods: The prostate cancer cell lines Du145 (low DNA repair mutations), PC3...

Convergence Speed Advantages of a Machine Learning Assisted Framework in IMRT Fluence Map Optimization – a Comparison Study Using Multiple Convergence Criteria

Authors: Yang Sheng, Qingrong Jackie Wu, Qiuwen Wu, Xin Wu, Dongrong Yang

Affiliation: Duke University Medical Center

Abstract Preview: Purpose: Convergence speed is crucial for an optimizer. Faster convergence leads to better solutions with fewer iterations and less time. Recently, a machine learning (ML)-assisted framework employing...

Cycle-Consistent Multi-Task Automated Segmentation and Synthetic CT Generation Model for Adaptive Proton Therapy

Authors: Derek Tang, Susu Yan

Affiliation: Massachusetts General Hospital

Abstract Preview: Purpose: To evaluate the performance of a multi-task automated-segmentation and synthetic CT generation model (sCT) and investigate its application in an adaptive proton therapy workflow.
Methods: ...

Deep-Learning Based Spectral Artifact Removal with In Vivo 7T Proton MRSI Data

Authors: Anke Henning, Mahrshi Jani, Tianyu Wang, Andrew Wright, Xinyu Zhang

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

Abstract Preview: Purpose: Proton MRSI offers critical metabolic insights into diseased brain processes but is prone to artifacts, and current post-processing methods are often insufficient, resulting in low-quality da...

Development of Treatment Planning System for Carbon Ion Radiotherapy in Yonsei Cancer Center

Authors: Min Cheol Han, Chae-Seon Hong, Changhwan Kim, Dong Wook Kim, Hojin Kim, Jin Sung Kim, HO Lee, Sac Lee, Yongdo Yun

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

Abstract Preview: Purpose: Carbon ion radiotherapy (CIRT) offers the advantage of a greater relative biological effectiveness (RBE) weighted dose, which must be integrated into the treatment planning system (TPS). This...

Fine-Tuning AI-Based Generative Models for Small-Sample Glioma MRI Generation.

Authors: Xiangli Cui, Chunyan Fu, Man Hu, Wanli Huo, Jingyu Liu, Jianguang Zhang, Yingying Zhang, Shanyang Zhao

Affiliation: Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, the Zhejiang-New Zealand Joint Vision-Based Intelligent Metrology Laboratory, College of Information Engineering, China Jiliang University, Departments of Radiation Oncology, Zibo Wanjie Cancer Hospital, Key Laboratory of Electromagnetic Wave Information Technology and Metrology of Zhejiang Province, College of Information Engineering, China Jiliang University, Department of Oncology, Xiangya Hospital, Central South University, College of Information Engineering, China Jiliang University, Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University, Shandong Academy of Medical Sciences

Abstract Preview: Purpose: To quantify the impact of fine-tuning strategies for pre-trained AI image generation models on glioma MRI image quality and observer performance, and to determine the optimal fine-tuning conf...

Impact of Tumor-to-Normal Ratio and Glass Microsphere Particle Density on Local Progression-Free Survival Following Lobar Yttrium-90 Radioembolization

Authors: Jason Chiang, Magnus Dahlbom, Veronica Hankil, Xinyi Li, Catherine (Caffi) Meyer, Kyung Hyun Sung

Affiliation: UCLA, University of California, Los Angeles

Abstract Preview: Purpose:
Yttrium-90 (90Y) radioembolization is a well-established therapy for large or multifocal liver tumors. Accurate dosimetry is critical but remains challenging, as low particle density risks...

Improve the Risk Prediction of Radiation-Induced Esophagitis in Lung IMRT By an Anisotropic Dose Convolution Neural Network

Authors: Ibtisam Almajnooni, Elisabeth Weiss, Lulin Yuan

Affiliation: Virginia Commonwealth University

Abstract Preview: Purpose: We developed a deep learning neural network (DLNN) to predict the risk of radiation-induced esophagitis (RE) during lung cancer radiation therapy based on the spatial dose distribution, for t...

Investigation of the Correlation between Proton Linear Energy Transfer and Treatment Field Hinge Angles in Brain Tumor Patients Treated with Intensity Modulated Proton Therapy

Authors: Omer Gal, Alonso N. Gutierrez, Matthew D. Hall, Rupesh Kotecha, Minesh P. Mehta, Andrew J. Wroe, Jen Yu

Affiliation: Miami Cancer Institute, Baptist Health South Florida

Abstract Preview: Purpose: Linear energy transfer (LET) is directly related to relative-biological-effectiveness dose in proton therapy. This study aims to investigate how the treatment field hinge angles affect LET of...

Monte Carlo Simulation of Dose Perturbations in HAM Applicator HDR Brachytherapy Treatments

Authors: Sam Beddar, Brett Bocian, David B. Flint, Benjamin Abraham Insley, Patrick James Jensen, Rachael M. Martin Paulpeter, Joshua S. Niedzielski, Luis Augusto Perles, Reza Reiazi, Gabriel O. Sawakuchi

Affiliation: University of Miami, MD Anderson Cancer Center, The University of Texas MD Anderson Cancer Center, Empyrean Medical Systems, UT MD Anderson Cancer Center, Department of Radiation Physics, The University of Texas MD Anderson Cancer Center

Abstract Preview: Purpose: The Harrison-Anderson-Mick (HAM) applicator is an Ir-192 High-Dose-Rate (HDR) intraoperative radiotherapy device. It features a silicone body with embedded catheters that guide the Ir-192 sou...

Monte Carlo Verification of Field-Size Dependent Backscatter Effect in Superficial HDR Brachytherapy

Authors: Mandar S. Bhagwat, Casey Y. Lee

Affiliation: Duke University, Massachusetts General Hospital and Harvard Medical School

Abstract Preview: Purpose: TG43-based dose calculation leads to inaccurate field-size dependent dose calculation in superficial HDR brachytherapy, due to full-scatter condition accounted in TG43, but not during treatme...

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...

Quantitative Forward Modeling of Propagation-Based X-Ray Phase-Contrast Imaging at Clinical Scale

Authors: Giavanna Luisa Jadick, Patrick J La Riviere, Cailey Riggs

Affiliation: University of Chicago

Abstract Preview: Purpose: We explore the accuracy of physics models for propagation-based x-ray phase-contrast imaging (XPCI) with an eye to future clinical implementation, providing a practical assessment of detectio...

Relative Optimized Linearization for Film Dosimetry with Non-Uniformity Correction

Authors: Piotr Pater, Nicholas G. Zacharopoulos

Affiliation: McGill University, Medical Physics Unit, Gerald Bronfman Department of Oncology, McGill University

Abstract Preview: Purpose: To develop a method for accurate relative film dosimetry that incorporates non-uniformity
corrections.
Methods: The accuracy of Devic’s [1] linearization approach was evaluated using si...

Scissor-Beam Based Carbon Ion Minibeam Treatment Planning Method

Authors: Hao Gao, Qiang Li, Yuting Lin, Wei Wang, Wei Wu, Weijie Zhang

Affiliation: Institute of Modern Physics, Chinese Academy of Sciences, China, Department of Radiation Oncology, University of Kansas Medical Center

Abstract Preview: Purpose: Carbon minibeam radiation therapy (cMBRT) offers high peak-to-valley dose ratio (PVDR) and relative biological effectiveness. A key challenge is balancing uniform target coverage with PVDR pr...

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...

Simulation Design of a Dedicated Head Coil for Enhanced EPT Imaging to Map the Electrical Properties of Tumor Tissues

Authors: Jingyao Chen, Yingli Yang, Jie Zhang

Affiliation: Department of Radiology, Ruijin Hospital, Shanghai Ruijin Hospital, Shanghai United imaging Healthcare Advanced Technology Research Institute

Abstract Preview: Purpose: Magnetic Resonance Electrical Properties Tomography (MR EPT) is a method to spatially mapping the conductivity and permittivity based on small B1 field changes after the imaged object was int...

The Comparison of Radiation Uses in Common Procedures Amongst Didactic Pediatric Fluoroscopic Units

Authors: Janet Ching-Mei Feng, Jimmy Huynh

Affiliation: UTHealth McGovern Medical School

Abstract Preview: Purpose: The Image Gently Alliance had provided helpful information to optimize image protocols in pediatric patients since 2007, and our assumption was that newer units could use near-to-optimal prot...

The Topas Monte Carlo Framework – Status and Outlook after 15 Years of Development

Authors: Alejandro Bertolet, Jorge Naoki Dominguez Kondo, Bruce A. Faddegon, Thongchai Masilela, Isaac Meyer, Victor V. Onecha, Harald Paganetti, Jose A. Ramos-Mendez, Jan PO Schuemann, Wook-Geun Shin

Affiliation: University of California San Francisco, Massachusetts General Hospital and Harvard Medical School, Massachusetts General Hospital

Abstract Preview: Purpose: To present the results of 15 years of developments of the TOPAS TOol for PArticle Simulation framework, and to highlight recent and new developments.

Methods: Fundamental understanding...

Ultrafast Proton Delivery with Pin Ridge Filters (pRFs): A Novel Approach for Motion Management in Proton Therapy

Authors: Zachary Diamond, Pretesh Patel, Sibo Tian, Yinan Wang, Xiaofeng Yang, David Yu, Ahmal Jawad Zafar, Jun Zhou

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

Abstract Preview: Purpose: Active breath-hold techniques effectively mitigate respiratory motion but poses challenges for patients who are unable to tolerate the procedure. Conventional planning relies on multiple ener...