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Results for "gpr values": 17 found

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 Novel Integrated Framework for Rapid Automatic Calculation of Organ Absorbed Dose from kV-CBCT Imaging during Radiotherapy

Authors: Marios Myronakis, Kyriaki Theodorou

Affiliation: Medical Physics Department, Medical School, University of Thessaly

Abstract Preview: Purpose: The development of an integrated application framework for rapid, seamless, and automated calculation of absorbed organ dose for individual patients undergoing kV CBCT imaging over the course...

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...

BEST IN PHYSICS MULTI-DISCIPLINARY: Quantitative MRI Oximetry: Combining EPR and OE-MRI for Volumetric Mapping of Hypoxia in Tumors

Authors: Victor B. Kassey, Maciej M. Kmiec, Periannan Kuppusamy, Sergey V. Petryakov, Conner Ubert

Affiliation: Dartmouth College

Abstract Preview: Purpose: Tumor hypoxia—a state of reduced oxygen supply—is well known to affect treatment response, particularly in radiotherapy and chemotherapy. Oxygen-enhanced magnetic resonance imaging (OE-MRI) u...

Comparative Evaluation of Nn-Unet Models for Radiotherapy Dose Prediction Using the Head and Neck Cancer Patients

Authors: Theodore Higgins Arsenault, Beatriz Guevara, Rojano Kashani, Raymond F. Muzic, Gisele Castro Pereira, Alex T. Price

Affiliation: University Hospitals Seidman Cancer Center, Case Western Reserve University Department of Biomedical Engineering

Abstract Preview: Purpose: Accurate dose prediction in radiotherapy is essential for treatment planning. This study evaluates four nnUnet-based models using the OpenKBP head and neck dataset: a baseline model (Model 1)...

Development of a Comprehensive Thoracic Re-Irradiation Database and Investigation of Time-Dependent Dose-Recovery Dynamics for Toxicity Modeling

Authors: Victoria Doss, Tsion Gebre, Rachel B. Ger, Esi A Hagan, Elaina Hales, Russell K Hales, Xun Jia, Heng Li, Dezhi Liu, Todd R. McNutt, Meti Negassa, Anas Obaideen, Tinker Trent, K. Ranh Voong, Cecilia FPM de Sousa

Affiliation: Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Johns Hopkins University

Abstract Preview: Purpose: As cancer care advances, more patients require re-irradiation, yet evidence-based data is lacking. This study aimed to develop a thoracic re-irradiation database and explore time-dependent re...

Evaluation of a Novel Multimodal Deformable Image Registration Algorithm for Pelvic MRI-CT Fusion in Radiotherapy

Authors: Christian Fiandra, Marco Fusella, Gianfranco Loi, Silvia Pesente, Lorenzo Placidi, Claudio Vecchi, Orlando Zaccaria, Stefania Zara

Affiliation: Abano Terme Hospital, University of Turin, Maggiore della Carità, Tecnologie Avanzate Srl, Fondazione Policlinico Universitario Agostino Gemelli IRCCS

Abstract Preview: Purpose: Deformable-image-registration (DIR) is essential in modern radiotherapy for adaptive RT, re-irradiation, and other clinical applications. Multimodal DIR is especially important in MRI-only wo...

Fast 3D Scintillation Dosimetry Using Single View Deep Learning Reconstruction

Authors: Louis Archambault, Nicolas Drouin, Alexis Horik, Simon Thibault

Affiliation: Département de Physique, de Génie Physique et D'optique, et Centre de Recherche sur le Cancer, Université Laval, Département de Physique, de Génie Physique et D'optique, et Centre d'optique, photonique et laser, Université Laval

Abstract Preview: Purpose: To develop a novel type of real-time 3D dosimeter for the quality assurance of linear accelerators used in external beam radiotherapy.
Methods: An experimental setup was constructed using ...

Feasibility of a Normoxic N-Vinylpyrrolidone-Based Polymer Gel (VIPET) Dosimeter for Three-Dimensional Proton Beam Measurements

Authors: Yoshihiko Hoshino, Kenji Hotta, Taeko Matsuura, Ai Nakaoka, Hidenobu Tachibana

Affiliation: Hokkaido University, Department of Radiology, Gunma University Hospital, Radiation Safety and Quality Assurance Division, National Cancer Center Hospital East

Abstract Preview: Purpose: Gel dosimeters enable three-dimensional dose measurements, but no reports have evaluated the fundamental performance of VIPER-type gel dosimeters in proton beam measurements. Therefore, we ev...

GPU-Accelerated Beamlet and Full Dose Calculations for Efficient Radiation Therapy Planning

Authors: Girish Bal, Jan Kralj, Ayan Mitra, PhD, Ling Shao, Matjaz Subic, Yevgen Voronenko

Affiliation: RefleXion Medical, Cosylab

Abstract Preview: Purpose: This work enhances the efficiency of radiation therapy treatment planning by optimizing the beamlet dose matrix and full patient dose computations using GPU acceleration. The Collapsed-Cone C...

Integrating Radiomics and ADC Ratio for Multicenter Prostate Cancer Diagnosis: A Harmonized Machine Learning Approach

Authors: George Agrotis, Marios Myronakis, Dimitrios Samaras, Kyriaki Theodorou, Ioannis Tsougos, Vassilios Tzortzis, Maria Vakalopoulou, Alexandros Vamvakas, Aikaterini Vassiou, Marianna Vlychou

Affiliation: Medical Physics Department, Medical School, University of Thessaly, Department of Radiology, University of Thessaly, Netherland Cancer Institute, Department of Urology, University of Thessaly, CentraleSupelec, University Paris-Saclay

Abstract Preview: Purpose: Prostate cancer (PCa) diagnosis remains challenging due to discrepancies in Gleason Scoring (GS) and risks of overdiagnosis and underdiagnosis. Multiparametric MRI (mpMRI), including Apparent...

Investigating Interstitial Fluid Pressure and Hydraulic Conductivity By Examining the Biophysical Properties of Drug Transport Using Cross Voxel Exchange Model and Dynamic Contrast Enhanced MRI

Authors: Catherine Coolens, Janny Yeyoung Kim, Michael Milosevic, Noha Sinno

Affiliation: Princess Margaret Hospital, University of Toronto

Abstract Preview: Purpose: In solid tumors, Interstitial fluid pressure (IFP) acts as a barrier to molecular transport to the tumor center and serves as a predictor of cancer patients’ treatment responsiveness. The nov...

Investigating the Radiation Chemistry of Flash Radiation Therapy through Electron Paramagnetic (EPR) Spectroscopy

Authors: Ramin Abolfath, Alexander Baikalov, Stefan Bartzsch, Nolan M. Esplen, Alan Eduardo Lopez Hernandez, Emil Schueler

Affiliation: MD Anderson Cancer Center, PI Experimental Medical Physics, Institute of Radiation Medicine (IRM), Helmholtz Munich, Germany, Howard University, Department of Radiation Physics, The University of Texas MD Anderson Cancer Center

Abstract Preview: Purpose: FLASH radiation therapy (FLASH-RT) leverages ultra-high dose rates (UHDR) to spare normal tissue as compared to conventional (CONV)-RT while preserving tumor control; this is termed the FLASH...

Mechanistical Modeling of Radiation Response of Parotid in Head and Neck Cancer Radiotherapy

Authors: Rachel B. Ger, Xun Jia, Youfang Lai, Todd R. McNutt, Xingyi Zhao

Affiliation: Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Johns Hopkins University

Abstract Preview: Purpose: Radiotherapy (RT) plays an essential role for head and neck (HN) cancer treatment but often results in xerostomia due to salivary gland damage. It is important to mechanistically model the ra...

Predicting Prostate Cancer Recurrence Using an Atlas-Based Tumor Control Probability Model

Authors: Jeremy T. Booth, Martin Andrew Ebert, Robert Finnegan, Annette Haworth, George Hruby, Burhan Javed, Kazi Ridita Mahtaba, Leyla Moghaddasi, Yutong Zhao

Affiliation: Northern Sydney Cancer Centre, Royal North Shore Hospital, The University of Sydney, The University of Western Australia, Genesis Care, Rockhampton Hospital

Abstract Preview: Purpose:
To evaluate the efficacy of an atlas-based tumor control probability (TCP) model in predicting prostate cancer (PCa) recurrence by retrospectively integrating patient-specific primary radi...

Quality and Performance Advantages of a Machine Learning-Assisted Framework for IMRT Fluence Map Optimization

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

Affiliation: Duke University Medical Center

Abstract Preview: Purpose: Gradient-based optimization is the standard approach for IMRT fluence map optimization (FMO). Recently, a machine learning (ML)-assisted framework using a one-layer neural network was propose...

Ratoguide: Evaluation of AI-Driven Fully Automated Treatment Planning Support System for Lung SBRT

Authors: Keiichi Jingu, Noriyuki Kadoya, Takafumi Komiyama, Takeru Nakajima, Hikaru Nemoto, Hiroshi Onishi, Masahide Saito, Ryota Tozuka

Affiliation: Department of Radiology, University of Yamanashi, Department of Radiation Oncology, Tohoku University Graduate School of Medicine, Department of Advanced Biomedical Imaging, University of Yamanashi

Abstract Preview: Purpose: We evaluated the accuracy of a new AI-based fully automated planning software in stereotactic body radiotherapy (SBRT) for early-stage lung cancer.
Methods: We collected data from 125 pati...