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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...

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Autores principales: Vilches-Freixas, Gloria, Quiñones, Catherine Therese, Létang, Jean Michel, Rit, Simon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
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
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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.
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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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