Authors: Ceballos Inza, Víctor; Monclús Lahoya, Eva; Vázquez Alcocer, Pere Pau; Bendezú García, Álvaro; Mego Silva, Marianela; Merino Casabiel, Xavier; Azpiroz Vidaur, Fernando; +1 Authors

doi: 10.2312/vcbm.20191227

handle: 2117/174469

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

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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.

Categories and Subject Descriptors (according to ACM CCS): I.3.8 [Computer Graphics]: Applications- I.4.6 [Image Processing and Computer Vision]: Segmentation- J.3 [Life and Medical Science]: Health

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

Eurographics Workshop on Visual Computing for Biology and Medicine

Visual Computing for MRI-based Data

Related Organizations

Autonomous University of Barcelona
Spain
Universitat Polite`cnica de Catalunya
Spain
Universitat Politècnica de Catalunya
Spain
Polytechnic University of Puerto Rico Miami
United States

Keywords

MRI images, J.3 [Life and Medical Science], Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la imatge i del senyal vídeo, :Enginyeria de la telecomunicació::Processament del senyal::Processament de la imatge i del senyal vídeo [Àrees temàtiques de la UPC], Còlon -- Examen, Colon (Anatomy) -- Examination, Magnetic resonance imaging, Segmentation, Health, Applications, Imatgeria per ressonància magnètica, I.4.6 [Image Processing and Computer Vision], I.3.8 [Computer Graphics]

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