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Two-step verification method for Monte Carlo codes in biomedical optics applications
SIGNIFICANCE: Code verification is an unavoidable step prior to using a Monte Carlo (MC) code. Indeed, in biomedical optics, a widespread verification procedure for MC codes is still missing. Analytical benchmarks that can be easily used for the verification of different MC routines offer an importa...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Society of Photo-Optical Instrumentation Engineers
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9020254/ https://www.ncbi.nlm.nih.gov/pubmed/35445592 http://dx.doi.org/10.1117/1.JBO.27.8.083018 |
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author | Sassaroli, Angelo Tommasi, Federico Cavalieri, Stefano Fini, Lorenzo Liemert, André Kienle, Alwin Binzoni, Tiziano Martelli, Fabrizio |
author_facet | Sassaroli, Angelo Tommasi, Federico Cavalieri, Stefano Fini, Lorenzo Liemert, André Kienle, Alwin Binzoni, Tiziano Martelli, Fabrizio |
author_sort | Sassaroli, Angelo |
collection | PubMed |
description | SIGNIFICANCE: Code verification is an unavoidable step prior to using a Monte Carlo (MC) code. Indeed, in biomedical optics, a widespread verification procedure for MC codes is still missing. Analytical benchmarks that can be easily used for the verification of different MC routines offer an important resource. AIM: We aim to provide a two-step verification procedure for MC codes enabling the two main tasks of an MC simulator: (1) the generation of photons’ trajectories and (2) the intersections of trajectories with boundaries separating the regions with different optical properties. The proposed method is purely based on elementary analytical benchmarks, therefore, the correctness of an MC code can be assessed with a one-sample [Formula: see text]-test. APPROACH: The two-step verification is based on the following two analytical benchmarks: (1) the exact analytical formulas for the statistical moments of the spatial coordinates where the scattering events occur in an infinite medium and (2) the exact invariant solutions of the radiative transfer equation for radiance, fluence rate, and mean path length in media subjected to a Lambertian illumination. RESULTS: We carried out a wide set of comparisons between MC results and the two analytical benchmarks for a wide range of optical properties (from non-scattering to highly scattering media, with different types of scattering functions) in an infinite non-absorbing medium (step 1) and in a non-absorbing slab (step 2). The deviations between MC results and exact analytical values are usually within two standard errors (i.e., [Formula: see text]-tests not rejected at a 5% level of significance). The comparisons show that the accuracy of the verification increases with the number of simulated trajectories so that, in principle, an arbitrary accuracy can be obtained. CONCLUSIONS: Given the simplicity of the verification method proposed, we envision that it can be widely used in the field of biomedical optics. |
format | Online Article Text |
id | pubmed-9020254 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Society of Photo-Optical Instrumentation Engineers |
record_format | MEDLINE/PubMed |
spelling | pubmed-90202542022-04-22 Two-step verification method for Monte Carlo codes in biomedical optics applications Sassaroli, Angelo Tommasi, Federico Cavalieri, Stefano Fini, Lorenzo Liemert, André Kienle, Alwin Binzoni, Tiziano Martelli, Fabrizio J Biomed Opt Special Section Celebrating 30 Years of Open Source Monte Carlo Codes in Biomedical Optics SIGNIFICANCE: Code verification is an unavoidable step prior to using a Monte Carlo (MC) code. Indeed, in biomedical optics, a widespread verification procedure for MC codes is still missing. Analytical benchmarks that can be easily used for the verification of different MC routines offer an important resource. AIM: We aim to provide a two-step verification procedure for MC codes enabling the two main tasks of an MC simulator: (1) the generation of photons’ trajectories and (2) the intersections of trajectories with boundaries separating the regions with different optical properties. The proposed method is purely based on elementary analytical benchmarks, therefore, the correctness of an MC code can be assessed with a one-sample [Formula: see text]-test. APPROACH: The two-step verification is based on the following two analytical benchmarks: (1) the exact analytical formulas for the statistical moments of the spatial coordinates where the scattering events occur in an infinite medium and (2) the exact invariant solutions of the radiative transfer equation for radiance, fluence rate, and mean path length in media subjected to a Lambertian illumination. RESULTS: We carried out a wide set of comparisons between MC results and the two analytical benchmarks for a wide range of optical properties (from non-scattering to highly scattering media, with different types of scattering functions) in an infinite non-absorbing medium (step 1) and in a non-absorbing slab (step 2). The deviations between MC results and exact analytical values are usually within two standard errors (i.e., [Formula: see text]-tests not rejected at a 5% level of significance). The comparisons show that the accuracy of the verification increases with the number of simulated trajectories so that, in principle, an arbitrary accuracy can be obtained. CONCLUSIONS: Given the simplicity of the verification method proposed, we envision that it can be widely used in the field of biomedical optics. Society of Photo-Optical Instrumentation Engineers 2022-04-20 2022-08 /pmc/articles/PMC9020254/ /pubmed/35445592 http://dx.doi.org/10.1117/1.JBO.27.8.083018 Text en © 2022 The Authors https://creativecommons.org/licenses/by/4.0/Published by SPIE under a Creative Commons Attribution 4.0 International License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI. |
spellingShingle | Special Section Celebrating 30 Years of Open Source Monte Carlo Codes in Biomedical Optics Sassaroli, Angelo Tommasi, Federico Cavalieri, Stefano Fini, Lorenzo Liemert, André Kienle, Alwin Binzoni, Tiziano Martelli, Fabrizio Two-step verification method for Monte Carlo codes in biomedical optics applications |
title | Two-step verification method for Monte Carlo codes in biomedical optics applications |
title_full | Two-step verification method for Monte Carlo codes in biomedical optics applications |
title_fullStr | Two-step verification method for Monte Carlo codes in biomedical optics applications |
title_full_unstemmed | Two-step verification method for Monte Carlo codes in biomedical optics applications |
title_short | Two-step verification method for Monte Carlo codes in biomedical optics applications |
title_sort | two-step verification method for monte carlo codes in biomedical optics applications |
topic | Special Section Celebrating 30 Years of Open Source Monte Carlo Codes in Biomedical Optics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9020254/ https://www.ncbi.nlm.nih.gov/pubmed/35445592 http://dx.doi.org/10.1117/1.JBO.27.8.083018 |
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