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End to End Colonic Content Assessment: ColonMetry Application

The analysis of colonic contents is a valuable tool for the gastroenterologist and has multiple applications in clinical routine. When considering magnetic resonance imaging (MRI) modalities, T2 weighted images are capable of segmenting the colonic lumen, whereas fecal and gas contents can only be d...

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Autores principales: Orellana, Bernat, Monclús, Eva, Navazo, Isabel, Bendezú, Álvaro, Malagelada, Carolina, Azpiroz, Fernando
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10000726/
https://www.ncbi.nlm.nih.gov/pubmed/36900054
http://dx.doi.org/10.3390/diagnostics13050910
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author Orellana, Bernat
Monclús, Eva
Navazo, Isabel
Bendezú, Álvaro
Malagelada, Carolina
Azpiroz, Fernando
author_facet Orellana, Bernat
Monclús, Eva
Navazo, Isabel
Bendezú, Álvaro
Malagelada, Carolina
Azpiroz, Fernando
author_sort Orellana, Bernat
collection PubMed
description The analysis of colonic contents is a valuable tool for the gastroenterologist and has multiple applications in clinical routine. When considering magnetic resonance imaging (MRI) modalities, T2 weighted images are capable of segmenting the colonic lumen, whereas fecal and gas contents can only be distinguished in T1 weighted images. In this paper, we present an end-to-end quasi-automatic framework that comprises all the steps needed to accurately segment the colon in T2 and T1 images and to extract colonic content and morphology data to provide the quantification of colonic content and morphology data. As a consequence, physicians have gained new insights into the effects of diets and the mechanisms of abdominal distension.
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spelling pubmed-100007262023-03-11 End to End Colonic Content Assessment: ColonMetry Application Orellana, Bernat Monclús, Eva Navazo, Isabel Bendezú, Álvaro Malagelada, Carolina Azpiroz, Fernando Diagnostics (Basel) Technical Note The analysis of colonic contents is a valuable tool for the gastroenterologist and has multiple applications in clinical routine. When considering magnetic resonance imaging (MRI) modalities, T2 weighted images are capable of segmenting the colonic lumen, whereas fecal and gas contents can only be distinguished in T1 weighted images. In this paper, we present an end-to-end quasi-automatic framework that comprises all the steps needed to accurately segment the colon in T2 and T1 images and to extract colonic content and morphology data to provide the quantification of colonic content and morphology data. As a consequence, physicians have gained new insights into the effects of diets and the mechanisms of abdominal distension. MDPI 2023-02-28 /pmc/articles/PMC10000726/ /pubmed/36900054 http://dx.doi.org/10.3390/diagnostics13050910 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Technical Note
Orellana, Bernat
Monclús, Eva
Navazo, Isabel
Bendezú, Álvaro
Malagelada, Carolina
Azpiroz, Fernando
End to End Colonic Content Assessment: ColonMetry Application
title End to End Colonic Content Assessment: ColonMetry Application
title_full End to End Colonic Content Assessment: ColonMetry Application
title_fullStr End to End Colonic Content Assessment: ColonMetry Application
title_full_unstemmed End to End Colonic Content Assessment: ColonMetry Application
title_short End to End Colonic Content Assessment: ColonMetry Application
title_sort end to end colonic content assessment: colonmetry application
topic Technical Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10000726/
https://www.ncbi.nlm.nih.gov/pubmed/36900054
http://dx.doi.org/10.3390/diagnostics13050910
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