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Photon fluence and dose estimation in computed tomography using a discrete ordinates Boltzmann solver
In this study, cone-beam single projection and axial CT scans are modeled with a software package—DOCTORS, which solves the linear Boltzmann equation using the discrete ordinates method. Phantoms include a uniform 35 cm diameter water cylinder and a non-uniform abdomen phantom. Series simulations we...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7360577/ https://www.ncbi.nlm.nih.gov/pubmed/32665588 http://dx.doi.org/10.1038/s41598-020-68320-8 |
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author | Norris, Edward T. Liu, Xin |
author_facet | Norris, Edward T. Liu, Xin |
author_sort | Norris, Edward T. |
collection | PubMed |
description | In this study, cone-beam single projection and axial CT scans are modeled with a software package—DOCTORS, which solves the linear Boltzmann equation using the discrete ordinates method. Phantoms include a uniform 35 cm diameter water cylinder and a non-uniform abdomen phantom. Series simulations were performed with different simulation parameters, including the number of quadrature angles, the order of Legendre polynomial expansions, and coarse and fine mesh grid. Monte Carlo simulations were also performed to benchmark DOCTORS simulations. A quantitative comparison was made between the simulation results obtained using DOCTORS and Monte Carlo methods. The deterministic simulation was in good agreement with the Monte Carlo simulation on dose estimation, with a root-mean-square-deviation difference of around 2.87%. It was found that the contribution of uncollided photon fluence directly from the source dominates the local absorbed dose in the diagnostic X-ray energy range. The uncollided photon fluence can be calculated accurately using a ‘ray-tracing’ algorithm. The accuracy of collided photon fluence estimation is largely affected by the pre-calculated multigroup cross-sections. The primary benefit of DOCTORS lies in its rapid computation speed. Using DOCTORS, parallel computing with GPU enables the cone-beam CT dose estimation nearly in real-time. |
format | Online Article Text |
id | pubmed-7360577 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-73605772020-07-16 Photon fluence and dose estimation in computed tomography using a discrete ordinates Boltzmann solver Norris, Edward T. Liu, Xin Sci Rep Article In this study, cone-beam single projection and axial CT scans are modeled with a software package—DOCTORS, which solves the linear Boltzmann equation using the discrete ordinates method. Phantoms include a uniform 35 cm diameter water cylinder and a non-uniform abdomen phantom. Series simulations were performed with different simulation parameters, including the number of quadrature angles, the order of Legendre polynomial expansions, and coarse and fine mesh grid. Monte Carlo simulations were also performed to benchmark DOCTORS simulations. A quantitative comparison was made between the simulation results obtained using DOCTORS and Monte Carlo methods. The deterministic simulation was in good agreement with the Monte Carlo simulation on dose estimation, with a root-mean-square-deviation difference of around 2.87%. It was found that the contribution of uncollided photon fluence directly from the source dominates the local absorbed dose in the diagnostic X-ray energy range. The uncollided photon fluence can be calculated accurately using a ‘ray-tracing’ algorithm. The accuracy of collided photon fluence estimation is largely affected by the pre-calculated multigroup cross-sections. The primary benefit of DOCTORS lies in its rapid computation speed. Using DOCTORS, parallel computing with GPU enables the cone-beam CT dose estimation nearly in real-time. Nature Publishing Group UK 2020-07-14 /pmc/articles/PMC7360577/ /pubmed/32665588 http://dx.doi.org/10.1038/s41598-020-68320-8 Text en © The Author(s) 2020 Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Norris, Edward T. Liu, Xin Photon fluence and dose estimation in computed tomography using a discrete ordinates Boltzmann solver |
title | Photon fluence and dose estimation in computed tomography using a discrete ordinates Boltzmann solver |
title_full | Photon fluence and dose estimation in computed tomography using a discrete ordinates Boltzmann solver |
title_fullStr | Photon fluence and dose estimation in computed tomography using a discrete ordinates Boltzmann solver |
title_full_unstemmed | Photon fluence and dose estimation in computed tomography using a discrete ordinates Boltzmann solver |
title_short | Photon fluence and dose estimation in computed tomography using a discrete ordinates Boltzmann solver |
title_sort | photon fluence and dose estimation in computed tomography using a discrete ordinates boltzmann solver |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7360577/ https://www.ncbi.nlm.nih.gov/pubmed/32665588 http://dx.doi.org/10.1038/s41598-020-68320-8 |
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