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Fast Pencil Beam Dose Calculation for Proton Therapy Using a Double-Gaussian Beam Model

The highly conformal dose distributions produced by scanned proton pencil beams (PBs) are more sensitive to motion and anatomical changes than those produced by conventional radiotherapy. The ability to calculate the dose in real-time as it is being delivered would enable, for example, online dose m...

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Detalles Bibliográficos
Autores principales: da Silva, Joakim, Ansorge, Richard, Jena, Rajesh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4683172/
https://www.ncbi.nlm.nih.gov/pubmed/26734567
http://dx.doi.org/10.3389/fonc.2015.00281
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author da Silva, Joakim
Ansorge, Richard
Jena, Rajesh
author_facet da Silva, Joakim
Ansorge, Richard
Jena, Rajesh
author_sort da Silva, Joakim
collection PubMed
description The highly conformal dose distributions produced by scanned proton pencil beams (PBs) are more sensitive to motion and anatomical changes than those produced by conventional radiotherapy. The ability to calculate the dose in real-time as it is being delivered would enable, for example, online dose monitoring, and is therefore highly desirable. We have previously described an implementation of a PB algorithm running on graphics processing units (GPUs) intended specifically for online dose calculation. Here, we present an extension to the dose calculation engine employing a double-Gaussian beam model to better account for the low-dose halo. To the best of our knowledge, it is the first such PB algorithm for proton therapy running on a GPU. We employ two different parameterizations for the halo dose, one describing the distribution of secondary particles from nuclear interactions found in the literature and one relying on directly fitting the model to Monte Carlo simulations of PBs in water. Despite the large width of the halo contribution, we show how in either case the second Gaussian can be included while prolonging the calculation of the investigated plans by no more than 16%, or the calculation of the most time-consuming energy layers by about 25%. Furthermore, the calculation time is relatively unaffected by the parameterization used, which suggests that these results should hold also for different systems. Finally, since the implementation is based on an algorithm employed by a commercial treatment planning system, it is expected that with adequate tuning, it should be able to reproduce the halo dose from a general beam line with sufficient accuracy.
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spelling pubmed-46831722016-01-05 Fast Pencil Beam Dose Calculation for Proton Therapy Using a Double-Gaussian Beam Model da Silva, Joakim Ansorge, Richard Jena, Rajesh Front Oncol Oncology The highly conformal dose distributions produced by scanned proton pencil beams (PBs) are more sensitive to motion and anatomical changes than those produced by conventional radiotherapy. The ability to calculate the dose in real-time as it is being delivered would enable, for example, online dose monitoring, and is therefore highly desirable. We have previously described an implementation of a PB algorithm running on graphics processing units (GPUs) intended specifically for online dose calculation. Here, we present an extension to the dose calculation engine employing a double-Gaussian beam model to better account for the low-dose halo. To the best of our knowledge, it is the first such PB algorithm for proton therapy running on a GPU. We employ two different parameterizations for the halo dose, one describing the distribution of secondary particles from nuclear interactions found in the literature and one relying on directly fitting the model to Monte Carlo simulations of PBs in water. Despite the large width of the halo contribution, we show how in either case the second Gaussian can be included while prolonging the calculation of the investigated plans by no more than 16%, or the calculation of the most time-consuming energy layers by about 25%. Furthermore, the calculation time is relatively unaffected by the parameterization used, which suggests that these results should hold also for different systems. Finally, since the implementation is based on an algorithm employed by a commercial treatment planning system, it is expected that with adequate tuning, it should be able to reproduce the halo dose from a general beam line with sufficient accuracy. Frontiers Media S.A. 2015-12-18 /pmc/articles/PMC4683172/ /pubmed/26734567 http://dx.doi.org/10.3389/fonc.2015.00281 Text en Copyright © 2015 da Silva, Ansorge and Jena. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
da Silva, Joakim
Ansorge, Richard
Jena, Rajesh
Fast Pencil Beam Dose Calculation for Proton Therapy Using a Double-Gaussian Beam Model
title Fast Pencil Beam Dose Calculation for Proton Therapy Using a Double-Gaussian Beam Model
title_full Fast Pencil Beam Dose Calculation for Proton Therapy Using a Double-Gaussian Beam Model
title_fullStr Fast Pencil Beam Dose Calculation for Proton Therapy Using a Double-Gaussian Beam Model
title_full_unstemmed Fast Pencil Beam Dose Calculation for Proton Therapy Using a Double-Gaussian Beam Model
title_short Fast Pencil Beam Dose Calculation for Proton Therapy Using a Double-Gaussian Beam Model
title_sort fast pencil beam dose calculation for proton therapy using a double-gaussian beam model
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4683172/
https://www.ncbi.nlm.nih.gov/pubmed/26734567
http://dx.doi.org/10.3389/fonc.2015.00281
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