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Semi-classical Monte Carlo algorithm for the simulation of X-ray grating interferometry
Traditional simulation techniques such as wave optics methods and Monte Carlo (MC) particle transport cannot model both interference and inelastic scattering phenomena within one framework. Based on the rules of quantum mechanics to calculate probabilities, we propose a new semi-classical MC algorit...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8847374/ https://www.ncbi.nlm.nih.gov/pubmed/35169138 http://dx.doi.org/10.1038/s41598-022-05965-7 |
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author | Tessarini, Stefan Fix, Michael Karl Manser, Peter Volken, Werner Frei, Daniel Mercolli, Lorenzo Stampanoni, Marco |
author_facet | Tessarini, Stefan Fix, Michael Karl Manser, Peter Volken, Werner Frei, Daniel Mercolli, Lorenzo Stampanoni, Marco |
author_sort | Tessarini, Stefan |
collection | PubMed |
description | Traditional simulation techniques such as wave optics methods and Monte Carlo (MC) particle transport cannot model both interference and inelastic scattering phenomena within one framework. Based on the rules of quantum mechanics to calculate probabilities, we propose a new semi-classical MC algorithm for efficient and simultaneous modeling of scattering and interference processes. The similarities to MC particle transport allow the implementation as a flexible c++ object oriented extension of EGSnrc—a well-established MC toolkit. In addition to previously proposed Huygens principle based transport through optics components, new variance reduction techniques for the transport through gratings are presented as transport options to achieve the required improvement in speed and memory costs necessary for an efficient exploration (system design—dose estimations) of the medical implementation of X-ray grating interferometry (GI), an emerging imaging technique currently subject of tremendous efforts towards clinical translation. The feasibility of simulation of interference effects is confirmed in four academic cases and an experimental table-top GI setup. Comparison with conventional MC transport show that deposited energy features of EGSnrc are conserved. |
format | Online Article Text |
id | pubmed-8847374 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-88473742022-02-16 Semi-classical Monte Carlo algorithm for the simulation of X-ray grating interferometry Tessarini, Stefan Fix, Michael Karl Manser, Peter Volken, Werner Frei, Daniel Mercolli, Lorenzo Stampanoni, Marco Sci Rep Article Traditional simulation techniques such as wave optics methods and Monte Carlo (MC) particle transport cannot model both interference and inelastic scattering phenomena within one framework. Based on the rules of quantum mechanics to calculate probabilities, we propose a new semi-classical MC algorithm for efficient and simultaneous modeling of scattering and interference processes. The similarities to MC particle transport allow the implementation as a flexible c++ object oriented extension of EGSnrc—a well-established MC toolkit. In addition to previously proposed Huygens principle based transport through optics components, new variance reduction techniques for the transport through gratings are presented as transport options to achieve the required improvement in speed and memory costs necessary for an efficient exploration (system design—dose estimations) of the medical implementation of X-ray grating interferometry (GI), an emerging imaging technique currently subject of tremendous efforts towards clinical translation. The feasibility of simulation of interference effects is confirmed in four academic cases and an experimental table-top GI setup. Comparison with conventional MC transport show that deposited energy features of EGSnrc are conserved. Nature Publishing Group UK 2022-02-15 /pmc/articles/PMC8847374/ /pubmed/35169138 http://dx.doi.org/10.1038/s41598-022-05965-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Tessarini, Stefan Fix, Michael Karl Manser, Peter Volken, Werner Frei, Daniel Mercolli, Lorenzo Stampanoni, Marco Semi-classical Monte Carlo algorithm for the simulation of X-ray grating interferometry |
title | Semi-classical Monte Carlo algorithm for the simulation of X-ray grating interferometry |
title_full | Semi-classical Monte Carlo algorithm for the simulation of X-ray grating interferometry |
title_fullStr | Semi-classical Monte Carlo algorithm for the simulation of X-ray grating interferometry |
title_full_unstemmed | Semi-classical Monte Carlo algorithm for the simulation of X-ray grating interferometry |
title_short | Semi-classical Monte Carlo algorithm for the simulation of X-ray grating interferometry |
title_sort | semi-classical monte carlo algorithm for the simulation of x-ray grating interferometry |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8847374/ https://www.ncbi.nlm.nih.gov/pubmed/35169138 http://dx.doi.org/10.1038/s41598-022-05965-7 |
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