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dc.contributor.authorMales, Janen_US
dc.contributor.authorMonclús, Evaen_US
dc.contributor.authorDíaz, Joseen_US
dc.contributor.authorVázquez, Pere-Pauen_US
dc.contributor.editorKozlíková, Barbora and Linsen, Lars and Vázquez, Pere-Pau and Lawonn, Kai and Raidou, Renata Georgiaen_US
dc.date.accessioned2019-09-03T13:49:02Z
dc.date.available2019-09-03T13:49:02Z
dc.date.issued2019
dc.identifier.isbn978-3-03868-081-9
dc.identifier.issn2070-5786
dc.identifier.urihttps://doi.org/10.2312/vcbm.20191228
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/vcbm20191228
dc.description.abstractThe colon is an organ whose constant motility poses difficulties to its analysis. Although morphological data can be successfully extracted from Computational Tomography, its radiative nature makes it only indicated for patients with disorders. Only recently, acquisition techniques that rely on the use of Magnetic Resonance Imaging have matured enough to enable the generation of morphological colon data of healthy patients without preparation (i. e. administration of drugs or contrast agents). As a result, a database of colon morphological data for patients under different diets, has been created. Currently, the digestologists we collaborate with analyze the measured data of the gut by inspecting a set of spreadsheets. In this paper, we propose a system for the exploratory visual analysis of the whole database of morphological data at once. It provides features for the visual comparison of data correlations, the inspection of the morphological measures, as well 3D rendering of the colon segmented models. The system solely relies on the use of web technologies, which makes it portable even to mobile devices.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectI.3.8 [Computer Graphics]
dc.subjectApplications
dc.subjectI.4.6 [Image Processing and Computer Vision]
dc.subjectSegmentation
dc.subjectJ.3 [Life and Medical Science]
dc.subjectHealth
dc.titleA Web-based Application for the Visual Exploration of Colon Morphology Dataen_US
dc.description.seriesinformationEurographics Workshop on Visual Computing for Biology and Medicine
dc.description.sectionheadersVisual Computing for MRI-based Data
dc.identifier.doi10.2312/vcbm.20191228
dc.identifier.pages27-31


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