Colonic Content Assessment from MRI Imaging Using a Semi-automatic Approach
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Date
2019Author
Ceballos, Victor
Bendezú, Álvaro
Mego, Marianela
Merino, Xavier
Metadata
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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.
BibTeX
@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}
}
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}
}