Cargando…

A Novel GPU-based Fast Monte Carlo Photon Dose Calculating Method for Accurate Radiotherapy Treatment Planning

BACKGROUND: An accurate and fast radiation dose calculations method is the main part of treatment planning for successful radiation therapy. OBJECTIVE: This work aimed to create a novel GPU-based fast Monte Carlo Photon Dose Code (MCPDC) as a fast and accurate tool in dose calculation for radiothera...

Descripción completa

Detalles Bibliográficos
Autores principales: M., Karbalaee, D., Shahbazi-Gahrouei, M. B., Tavakoli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Shiraz University of Medical Sciences 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7321392/
https://www.ncbi.nlm.nih.gov/pubmed/32637377
http://dx.doi.org/10.31661/jbpe.v0i0.716
_version_ 1783551454930272256
author M., Karbalaee
D., Shahbazi-Gahrouei
M. B., Tavakoli
author_facet M., Karbalaee
D., Shahbazi-Gahrouei
M. B., Tavakoli
author_sort M., Karbalaee
collection PubMed
description BACKGROUND: An accurate and fast radiation dose calculations method is the main part of treatment planning for successful radiation therapy. OBJECTIVE: This work aimed to create a novel GPU-based fast Monte Carlo Photon Dose Code (MCPDC) as a fast and accurate tool in dose calculation for radiotherapy treatment planning. MATERIALS AND METHODS: In this analytical study, MCDPC was written to implement photon MC simulation for energies 0.01 to 20 MeV and run on an NVIDIA GTX970. The code was validated using DOSXYZnrc results and experimental measurements, performed by a Mapcheck dosimeter. Using the innovative definition of photon and electron interactions, mean calculation time for the MCPDC was 5.4 sec for 5e7 source particle history, significantly less than that of DOSXYZnrc which was 400 min. RESULTS: Considering the simulations in the anthropomorphic phantom with bone and lung inhomogeneity, more than 96.1% of all significant voxels passed the gamma criteria of 3%-3 mm. Compared to the experimental dosimetry results, 97.6% or more of all significant voxels passed the acceptable clinical gamma index of 3%-3 mm. CONCLUSION: Very fast calculation speed and high accuracy in dose calculation may allow the MCPDC to be used in radiotherapy as a central component of a treatment plan verification system and also as the dose calculation engine for MC-based planning. MCPDC is currently being developed for electron dose calculation module and graphic user interface. In addition, future work on the applicability of the improved version of the MCPDC in transit dosimetry of megavoltage CT is in process.
format Online
Article
Text
id pubmed-7321392
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Shiraz University of Medical Sciences
record_format MEDLINE/PubMed
spelling pubmed-73213922020-07-06 A Novel GPU-based Fast Monte Carlo Photon Dose Calculating Method for Accurate Radiotherapy Treatment Planning M., Karbalaee D., Shahbazi-Gahrouei M. B., Tavakoli J Biomed Phys Eng Original Article BACKGROUND: An accurate and fast radiation dose calculations method is the main part of treatment planning for successful radiation therapy. OBJECTIVE: This work aimed to create a novel GPU-based fast Monte Carlo Photon Dose Code (MCPDC) as a fast and accurate tool in dose calculation for radiotherapy treatment planning. MATERIALS AND METHODS: In this analytical study, MCDPC was written to implement photon MC simulation for energies 0.01 to 20 MeV and run on an NVIDIA GTX970. The code was validated using DOSXYZnrc results and experimental measurements, performed by a Mapcheck dosimeter. Using the innovative definition of photon and electron interactions, mean calculation time for the MCPDC was 5.4 sec for 5e7 source particle history, significantly less than that of DOSXYZnrc which was 400 min. RESULTS: Considering the simulations in the anthropomorphic phantom with bone and lung inhomogeneity, more than 96.1% of all significant voxels passed the gamma criteria of 3%-3 mm. Compared to the experimental dosimetry results, 97.6% or more of all significant voxels passed the acceptable clinical gamma index of 3%-3 mm. CONCLUSION: Very fast calculation speed and high accuracy in dose calculation may allow the MCPDC to be used in radiotherapy as a central component of a treatment plan verification system and also as the dose calculation engine for MC-based planning. MCPDC is currently being developed for electron dose calculation module and graphic user interface. In addition, future work on the applicability of the improved version of the MCPDC in transit dosimetry of megavoltage CT is in process. Shiraz University of Medical Sciences 2020-06-01 /pmc/articles/PMC7321392/ /pubmed/32637377 http://dx.doi.org/10.31661/jbpe.v0i0.716 Text en Copyright: © Journal of Biomedical Physics and Engineering http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 Unported License, ( http://creativecommons.org/licenses/by-nc/4.0/ ) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
M., Karbalaee
D., Shahbazi-Gahrouei
M. B., Tavakoli
A Novel GPU-based Fast Monte Carlo Photon Dose Calculating Method for Accurate Radiotherapy Treatment Planning
title A Novel GPU-based Fast Monte Carlo Photon Dose Calculating Method for Accurate Radiotherapy Treatment Planning
title_full A Novel GPU-based Fast Monte Carlo Photon Dose Calculating Method for Accurate Radiotherapy Treatment Planning
title_fullStr A Novel GPU-based Fast Monte Carlo Photon Dose Calculating Method for Accurate Radiotherapy Treatment Planning
title_full_unstemmed A Novel GPU-based Fast Monte Carlo Photon Dose Calculating Method for Accurate Radiotherapy Treatment Planning
title_short A Novel GPU-based Fast Monte Carlo Photon Dose Calculating Method for Accurate Radiotherapy Treatment Planning
title_sort novel gpu-based fast monte carlo photon dose calculating method for accurate radiotherapy treatment planning
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7321392/
https://www.ncbi.nlm.nih.gov/pubmed/32637377
http://dx.doi.org/10.31661/jbpe.v0i0.716
work_keys_str_mv AT mkarbalaee anovelgpubasedfastmontecarlophotondosecalculatingmethodforaccurateradiotherapytreatmentplanning
AT dshahbazigahrouei anovelgpubasedfastmontecarlophotondosecalculatingmethodforaccurateradiotherapytreatmentplanning
AT mbtavakoli anovelgpubasedfastmontecarlophotondosecalculatingmethodforaccurateradiotherapytreatmentplanning
AT mkarbalaee novelgpubasedfastmontecarlophotondosecalculatingmethodforaccurateradiotherapytreatmentplanning
AT dshahbazigahrouei novelgpubasedfastmontecarlophotondosecalculatingmethodforaccurateradiotherapytreatmentplanning
AT mbtavakoli novelgpubasedfastmontecarlophotondosecalculatingmethodforaccurateradiotherapytreatmentplanning