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Deriving the mean excitation energy map from dual-energy and proton computed tomography()
The mean excitation energy, I, is an essential quantity for proton treatment planning. This work investigated the feasibility of extracting the spatial distribution of I by combining two computed tomography (CT) modalities, dual-energy CT and proton CT, which provided the spatial distribution of the...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7807613/ https://www.ncbi.nlm.nih.gov/pubmed/33458384 http://dx.doi.org/10.1016/j.phro.2018.04.001 |
_version_ | 1783636779170004992 |
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author | Vilches-Freixas, Gloria Quiñones, Catherine Therese Létang, Jean Michel Rit, Simon |
author_facet | Vilches-Freixas, Gloria Quiñones, Catherine Therese Létang, Jean Michel Rit, Simon |
author_sort | Vilches-Freixas, Gloria |
collection | PubMed |
description | The mean excitation energy, I, is an essential quantity for proton treatment planning. This work investigated the feasibility of extracting the spatial distribution of I by combining two computed tomography (CT) modalities, dual-energy CT and proton CT, which provided the spatial distribution of the relative electron density and the stopping power relative to water, respectively. We provided the analytical derivation of I as well as its uncertainty. Results were validated on simulated X-ray and proton CT images of a digital anthropomorphic phantom. Accuracy was below 15% with a large uncertainty, which demonstrated the potential and limits of the technique. |
format | Online Article Text |
id | pubmed-7807613 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-78076132021-01-14 Deriving the mean excitation energy map from dual-energy and proton computed tomography() Vilches-Freixas, Gloria Quiñones, Catherine Therese Létang, Jean Michel Rit, Simon Phys Imaging Radiat Oncol Technical Note The mean excitation energy, I, is an essential quantity for proton treatment planning. This work investigated the feasibility of extracting the spatial distribution of I by combining two computed tomography (CT) modalities, dual-energy CT and proton CT, which provided the spatial distribution of the relative electron density and the stopping power relative to water, respectively. We provided the analytical derivation of I as well as its uncertainty. Results were validated on simulated X-ray and proton CT images of a digital anthropomorphic phantom. Accuracy was below 15% with a large uncertainty, which demonstrated the potential and limits of the technique. Elsevier 2018-04-26 /pmc/articles/PMC7807613/ /pubmed/33458384 http://dx.doi.org/10.1016/j.phro.2018.04.001 Text en © 2018 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Technical Note Vilches-Freixas, Gloria Quiñones, Catherine Therese Létang, Jean Michel Rit, Simon Deriving the mean excitation energy map from dual-energy and proton computed tomography() |
title | Deriving the mean excitation energy map from dual-energy and proton computed tomography() |
title_full | Deriving the mean excitation energy map from dual-energy and proton computed tomography() |
title_fullStr | Deriving the mean excitation energy map from dual-energy and proton computed tomography() |
title_full_unstemmed | Deriving the mean excitation energy map from dual-energy and proton computed tomography() |
title_short | Deriving the mean excitation energy map from dual-energy and proton computed tomography() |
title_sort | deriving the mean excitation energy map from dual-energy and proton computed tomography() |
topic | Technical Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7807613/ https://www.ncbi.nlm.nih.gov/pubmed/33458384 http://dx.doi.org/10.1016/j.phro.2018.04.001 |
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