End to End Colonic Content Assessment: ColonMetry Application.

Bernat Orellana Bech; Eva Monclús; Isabel Navazo Álvaro; Álvaro Bendezú; Carolina Malagelada; Fernando Azpiroz

doi:10.3390/diagnostics13050910

End to End Colonic Content Assessment: ColonMetry Application.

Bernat Orellana Bech, Eva Monclús, Isabel Navazo Álvaro, Álvaro Bendezú, Carolina Malagelada, Fernando Azpiroz

Department of Medicine

Research output: Contribution to journal › Article › Research › peer-review

1 Citation (Scopus)

1 Downloads (Pure)

Abstract

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.

Original language	English
Article number	910
Pages (from-to)	1-10
Number of pages	10
Journal	Diagnostics (Basel, Switzerland)
Volume	13
Issue number	5
DOIs	https://doi.org/10.3390/diagnostics13050910
Publication status	Published - 28 Feb 2023

Keywords

colon segmentation
colonic content
functional digestive disorders
intestinal biomass
intestinal gas
magnetic resonance imaging

Access to Document

10.3390/diagnostics13050910

https://ddd.uab.cat/record/274527

Cite this

@article{e374847f0fc5418abd76a16cc074108d,

title = "End to End Colonic Content Assessment: ColonMetry Application.",

abstract = "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.",

keywords = "colon segmentation, colonic content, functional digestive disorders, intestinal biomass, intestinal gas, magnetic resonance imaging",

author = "Bech, {Bernat Orellana} and Eva Moncl{\'u}s and {Navazo {\'A}lvaro}, Isabel and {\'A}lvaro Bendez{\'u} and Carolina Malagelada and Fernando Azpiroz",

note = "Publisher Copyright: {\textcopyright} 2023 by the authors.",

year = "2023",

month = feb,

day = "28",

doi = "10.3390/diagnostics13050910",

language = "English",

volume = "13",

pages = "1--10",

number = "5",

}

TY - JOUR

T1 - End to End Colonic Content Assessment: ColonMetry Application.

AU - Bech, Bernat Orellana

AU - Monclús, Eva

AU - Navazo Álvaro, Isabel

AU - Bendezú, Álvaro

AU - Malagelada, Carolina

AU - Azpiroz, Fernando

PY - 2023/2/28

Y1 - 2023/2/28

N2 - 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.

AB - 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.

KW - colon segmentation

KW - colonic content

KW - functional digestive disorders

KW - intestinal biomass

KW - intestinal gas

KW - magnetic resonance imaging

UR - https://europepmc.org/articles/PMC10000726

UR - http://www.scopus.com/inward/record.url?scp=85150173622&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/5945d310-e0c7-3a6d-b7ea-ba0f858cf708/

U2 - 10.3390/diagnostics13050910

DO - 10.3390/diagnostics13050910

M3 - Article

C2 - 36900054

VL - 13

SP - 1

EP - 10

JO - Diagnostics (Basel, Switzerland)

JF - Diagnostics (Basel, Switzerland)

IS - 5

M1 - 910

ER -

End to End Colonic Content Assessment: ColonMetry Application.

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this