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Development of a virtual source model for Monte Carlo‐based independent dose calculation for varian linac

Monte Carlo (MC) independent dose calculations are often based on phase‐space files (PSF), as they can accurately represent particle characteristics. PSF generally are large and create a bottleneck in computation time. In addition, the number of independent particles is limited by the PSF, preventin...

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Autores principales: Castle, James R., Duan, Jingwei, Feng, Xue, Chen, Quan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9121055/
https://www.ncbi.nlm.nih.gov/pubmed/35138686
http://dx.doi.org/10.1002/acm2.13556
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author Castle, James R.
Duan, Jingwei
Feng, Xue
Chen, Quan
author_facet Castle, James R.
Duan, Jingwei
Feng, Xue
Chen, Quan
author_sort Castle, James R.
collection PubMed
description Monte Carlo (MC) independent dose calculations are often based on phase‐space files (PSF), as they can accurately represent particle characteristics. PSF generally are large and create a bottleneck in computation time. In addition, the number of independent particles is limited by the PSF, preventing further reduction of statistical uncertainty. The purpose of this study is to develop and validate a virtual source model (VSM) to address these limitations. Particles from existing PSF for the Varian TrueBeam medical linear accelerator 6X, 6XFFF, 10X, and 10XFFF beam configurations were tallied, analyzed, and used to generate a dual‐source photon VSM that includes electron contamination. The particle density distribution, kinetic energy spectrum, particle direction, and the correlations between characteristics were computed. The VSM models for each beam configuration were validated with water phantom measurements as well as clinical test cases against the original PSF. The new VSM requires 67 MB of disk space for each beam configuration, compared to 50 GB for the PSF from which they are based and effectively remove the bottleneck set by the PSF. At 3% MC uncertainty, the VSM approach reduces the calculation time by a factor of 14 on our server. MC doses obtained using the VSM approach were compared against PSF‐generated doses in clinical test cases and measurements in a water phantom using a gamma index analysis. For all tests, the VSMs were in excellent agreement with PSF doses and measurements (>90% passing voxels between doses and measurements). Results of this study indicate the successful derivation and implementation of a VSM model for Varian Linac that significantly saves computation time without sacrificing accuracy for independent dose calculation.
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spelling pubmed-91210552022-05-21 Development of a virtual source model for Monte Carlo‐based independent dose calculation for varian linac Castle, James R. Duan, Jingwei Feng, Xue Chen, Quan J Appl Clin Med Phys Radiation Oncology Physics Monte Carlo (MC) independent dose calculations are often based on phase‐space files (PSF), as they can accurately represent particle characteristics. PSF generally are large and create a bottleneck in computation time. In addition, the number of independent particles is limited by the PSF, preventing further reduction of statistical uncertainty. The purpose of this study is to develop and validate a virtual source model (VSM) to address these limitations. Particles from existing PSF for the Varian TrueBeam medical linear accelerator 6X, 6XFFF, 10X, and 10XFFF beam configurations were tallied, analyzed, and used to generate a dual‐source photon VSM that includes electron contamination. The particle density distribution, kinetic energy spectrum, particle direction, and the correlations between characteristics were computed. The VSM models for each beam configuration were validated with water phantom measurements as well as clinical test cases against the original PSF. The new VSM requires 67 MB of disk space for each beam configuration, compared to 50 GB for the PSF from which they are based and effectively remove the bottleneck set by the PSF. At 3% MC uncertainty, the VSM approach reduces the calculation time by a factor of 14 on our server. MC doses obtained using the VSM approach were compared against PSF‐generated doses in clinical test cases and measurements in a water phantom using a gamma index analysis. For all tests, the VSMs were in excellent agreement with PSF doses and measurements (>90% passing voxels between doses and measurements). Results of this study indicate the successful derivation and implementation of a VSM model for Varian Linac that significantly saves computation time without sacrificing accuracy for independent dose calculation. John Wiley and Sons Inc. 2022-02-09 /pmc/articles/PMC9121055/ /pubmed/35138686 http://dx.doi.org/10.1002/acm2.13556 Text en © 2022 The Authors. Journal of Applied Clinical Medical Physics published by Wiley Periodicals, LLC on behalf of The American Association of Physicists in Medicine. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Radiation Oncology Physics
Castle, James R.
Duan, Jingwei
Feng, Xue
Chen, Quan
Development of a virtual source model for Monte Carlo‐based independent dose calculation for varian linac
title Development of a virtual source model for Monte Carlo‐based independent dose calculation for varian linac
title_full Development of a virtual source model for Monte Carlo‐based independent dose calculation for varian linac
title_fullStr Development of a virtual source model for Monte Carlo‐based independent dose calculation for varian linac
title_full_unstemmed Development of a virtual source model for Monte Carlo‐based independent dose calculation for varian linac
title_short Development of a virtual source model for Monte Carlo‐based independent dose calculation for varian linac
title_sort development of a virtual source model for monte carlo‐based independent dose calculation for varian linac
topic Radiation Oncology Physics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9121055/
https://www.ncbi.nlm.nih.gov/pubmed/35138686
http://dx.doi.org/10.1002/acm2.13556
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