Víctor Ceballos, E. Monclús, Pere-Pau Vázquez, Álvaro Bendezú, M. Mego, X. Merino, F. Azpiroz, I. Navazo
{"title":"Colonic Content Assessment from MRI Imaging Using a Semi-automatic Approach","authors":"Víctor Ceballos, E. Monclús, Pere-Pau Vázquez, Álvaro Bendezú, M. Mego, X. Merino, F. Azpiroz, I. Navazo","doi":"10.2312/VCBM.20191227","DOIUrl":null,"url":null,"abstract":"The analysis of the morphology and content of the gut is necessary in order to achieve a better understanding of its metabolicand functional activity. Magnetic resonance imaging (MRI) has become an important imaging technique since it is able tovisualize 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 thecolon, 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 MRIimages. The techniques developed here have been crucial for a number of clinical experiments.","PeriodicalId":88872,"journal":{"name":"Eurographics Workshop on Visual Computing for Biomedicine","volume":"42 1","pages":"17-26"},"PeriodicalIF":0.0000,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Eurographics Workshop on Visual Computing for Biomedicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2312/VCBM.20191227","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
The analysis of the morphology and content of the gut is necessary in order to achieve a better understanding of its metabolicand functional activity. Magnetic resonance imaging (MRI) has become an important imaging technique since it is able tovisualize 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 thecolon, 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 MRIimages. The techniques developed here have been crucial for a number of clinical experiments.