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A simplified methodology to produce Monte Carlo dose distributions in proton therapy
The purpose of this study was to develop a simplified methodology that will produce Monte Carlo (MC) dose distribution for proton therapy which can be used as a clinical aid in determining the adequacy of proton plans produced from the treatment planning system (TPS). The Geant4 Monte Carlo toolkit...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5875513/ https://www.ncbi.nlm.nih.gov/pubmed/25207391 http://dx.doi.org/10.1120/jacmp.v15i4.4413 |
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author | Beltran, Chris Jia, Yingcui Slopsema, Roelf Yeung, Daniel Li, Zuofeng |
author_facet | Beltran, Chris Jia, Yingcui Slopsema, Roelf Yeung, Daniel Li, Zuofeng |
author_sort | Beltran, Chris |
collection | PubMed |
description | The purpose of this study was to develop a simplified methodology that will produce Monte Carlo (MC) dose distribution for proton therapy which can be used as a clinical aid in determining the adequacy of proton plans produced from the treatment planning system (TPS). The Geant4 Monte Carlo toolkit was used for all simulations. The geometry of the double scatter nozzle in the simulation was a simplification of the treatment nozzle. The proton source was modeled as discrete energy layers, each with a unique energy distribution and weighting factor. The simplified MC system was designed to give the same dose distribution as the measured data used to commission the TPS. After the simplified MC system was finalized, a series of verification comparisons were made between it, measurements, and the clinically used TPS. Comparisons included the lateral profile of a stair‐shaped compensator that simulated a sharp lateral heterogeneity and depth‐dose measurements through heterogeneous materials. The simplified MC system matched measurements to within 2% or 2 mm for all commissioning data under investigation; moreover, the distal edge and lateral penumbra was within 1 mm of the measurements. The simplified MC system was able to better reproduce the measured profiles for a stair‐shaped compensator than the TPS. Both MC and TPS matched the measured depth dose through heterogeneous materials to within 2% or 2 mm. The simplified MC system was straightforward to implement, and produced accurate results when compared to measurements. Therefore, it holds promise as a clinically useful methodology to validate the relative dose distribution of patient treatment plans produced by the treatment planning systems. PACS number: 87.55.K‐, 87.55.ne |
format | Online Article Text |
id | pubmed-5875513 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-58755132018-04-02 A simplified methodology to produce Monte Carlo dose distributions in proton therapy Beltran, Chris Jia, Yingcui Slopsema, Roelf Yeung, Daniel Li, Zuofeng J Appl Clin Med Phys Radiation Oncology Physics The purpose of this study was to develop a simplified methodology that will produce Monte Carlo (MC) dose distribution for proton therapy which can be used as a clinical aid in determining the adequacy of proton plans produced from the treatment planning system (TPS). The Geant4 Monte Carlo toolkit was used for all simulations. The geometry of the double scatter nozzle in the simulation was a simplification of the treatment nozzle. The proton source was modeled as discrete energy layers, each with a unique energy distribution and weighting factor. The simplified MC system was designed to give the same dose distribution as the measured data used to commission the TPS. After the simplified MC system was finalized, a series of verification comparisons were made between it, measurements, and the clinically used TPS. Comparisons included the lateral profile of a stair‐shaped compensator that simulated a sharp lateral heterogeneity and depth‐dose measurements through heterogeneous materials. The simplified MC system matched measurements to within 2% or 2 mm for all commissioning data under investigation; moreover, the distal edge and lateral penumbra was within 1 mm of the measurements. The simplified MC system was able to better reproduce the measured profiles for a stair‐shaped compensator than the TPS. Both MC and TPS matched the measured depth dose through heterogeneous materials to within 2% or 2 mm. The simplified MC system was straightforward to implement, and produced accurate results when compared to measurements. Therefore, it holds promise as a clinically useful methodology to validate the relative dose distribution of patient treatment plans produced by the treatment planning systems. PACS number: 87.55.K‐, 87.55.ne John Wiley and Sons Inc. 2014-07-08 /pmc/articles/PMC5875513/ /pubmed/25207391 http://dx.doi.org/10.1120/jacmp.v15i4.4413 Text en © 2014 The Authors. This is an open access article under the terms of the http://creativecommons.org/licenses/by/3.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Radiation Oncology Physics Beltran, Chris Jia, Yingcui Slopsema, Roelf Yeung, Daniel Li, Zuofeng A simplified methodology to produce Monte Carlo dose distributions in proton therapy |
title | A simplified methodology to produce Monte Carlo dose distributions in proton therapy |
title_full | A simplified methodology to produce Monte Carlo dose distributions in proton therapy |
title_fullStr | A simplified methodology to produce Monte Carlo dose distributions in proton therapy |
title_full_unstemmed | A simplified methodology to produce Monte Carlo dose distributions in proton therapy |
title_short | A simplified methodology to produce Monte Carlo dose distributions in proton therapy |
title_sort | simplified methodology to produce monte carlo dose distributions in proton therapy |
topic | Radiation Oncology Physics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5875513/ https://www.ncbi.nlm.nih.gov/pubmed/25207391 http://dx.doi.org/10.1120/jacmp.v15i4.4413 |
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