Colonic Content Assessment from MRI Imaging Using a Semi-automatic Approach

Ceballos, Victor; Monclús, Eva; Vázquez, Pere-Pau; Bendezú, Álvaro; Mego, Marianela; Merino, Xavier; Azpiroz, Fernando; Navazo, Isabel

Colonic Content Assessment from MRI Imaging Using a Semi-automatic Approach

Files

017-026.pdf (10.69 MB)

Date

2019

Authors

Ceballos, Victor
Monclús, Eva
Vázquez, Pere-Pau
Bendezú, Álvaro
Mego, Marianela
Merino, Xavier
Azpiroz, Fernando
Navazo, Isabel

Publisher

The Eurographics Association

Abstract

The analysis of the morphology and content of the gut is necessary in order to achieve a better understanding of its metabolic and functional activity. Magnetic resonance imaging (MRI) has become an important imaging technique since it is able to visualize soft tissues in an undisturbed bowel using no ionizing radiation. In the last few years, MRI of gastrointestinal function has advanced substantially. However, few studies have focused on the colon, because the analysis of colonic content is time consuming and cumbersome. This paper presents a semi-automatic segmentation tool for the quantitative assessment of the unprepared colon from MRI images. The techniques developed here have been crucial for a number of clinical experiments.

        @inproceedings{10.2312:vcbm.20191227
,
booktitle = {Eurographics Workshop on Visual Computing for Biology and Medicine
},
editor = {Kozlíková, Barbora and Linsen, Lars and Vázquez, Pere-Pau and Lawonn, Kai and Raidou, Renata Georgia
},
title = {{Colonic Content Assessment from MRI Imaging Using a Semi-automatic Approach
}},
author = {Ceballos, Victor and 
Monclús, Eva and 
Vázquez, Pere-Pau and 
Bendezú, Álvaro and 
Mego, Marianela and 
Merino, Xavier and 
Azpiroz, Fernando and 
Navazo, Isabel
},
year = {2019
},
publisher = {The Eurographics Association
},
ISSN = {2070-5786
},
ISBN = {978-3-03868-081-9
},
DOI = {10.2312/vcbm.20191227
}
}