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dc.contributor.authorCeballos Inza, Víctor
dc.contributor.authorMonclús Lahoya, Eva
dc.contributor.authorVázquez Alcocer, Pere Pau
dc.contributor.authorBendezú García, Álvaro
dc.contributor.authorMego, Marianela
dc.contributor.authorMerino, Xavier
dc.contributor.authorAzpiroz Vidaur, Fernando
dc.contributor.authorNavazo Álvaro, Isabel
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Ciències de la Computació
dc.date.accessioned2017-12-05T12:31:46Z
dc.date.available2017-12-05T12:31:46Z
dc.date.issued2017
dc.identifier.citationCeballos, V., Monclús, E., Vázquez, P., Bendezú, Á., Mego, M., Merino, X., Azpiroz, F., Navazo, I. Semi-automatic colonic content analysis for diagnostic. A: Annual EG/VGTC Conference on Visualization. "EuroVis 2017: Eurographics/IEEE VGTC Conference on Visualization 2017: Barcelona, Spain, June 12-16, 2017: posters". Barcelona: European Association for Computer Graphics (Eurographics), 2017, p. 121-123.
dc.identifier.isbn978-3-03868-044-4
dc.identifier.urihttp://hdl.handle.net/2117/111577
dc.description.abstractThe analysis of the morphology and content of the gut is necessary in order to understand metabolic and functional gut activity and for diagnostic purposes. Magnetic resonance imaging (MRI) has become an important modality technique since it is able to visualize soft tissues using no ionizing radiation, and hence removes the need for any contrast agents. In the last few years, MRI of gastrointestinal function has advanced substantially, although scarcely any publication has been devoted to the analysis of the colon content. This paper presents a semi-automatic segmentation tool for the quantitative assessment of the unprepared colon from MRI images. This application has allowed for the analysis of the colon content in various clinical experiments. The results of the assessment have contributed to a better understanding of the functionality of the colon under different diet conditions. The last experiment carried out by medical doctors showed a marked influence of diet on colonic content, accounting for about 30% of the volume variations.
dc.format.extent3 p.
dc.language.isoeng
dc.publisherEuropean Association for Computer Graphics (Eurographics)
dc.subjectÀrees temàtiques de la UPC::Informàtica::Infografia
dc.subjectÀrees temàtiques de la UPC::Ciències de la salut::Medicina::Diagnòstic per la imatge
dc.subject.lcshMagnetic resonance imaging
dc.subject.lcshColon (Anatomy) -- Examination
dc.subject.lcshDiagnostic imaging
dc.titleSemi-automatic colonic content analysis for diagnostic
dc.typeConference lecture
dc.subject.lemacImatgeria per ressonància magnètica
dc.subject.lemacCòlon -- Examen
dc.subject.lemacDiagnòstic per la imatge
dc.contributor.groupUniversitat Politècnica de Catalunya. ViRVIG - Grup de Recerca en Visualització, Realitat Virtual i Interacció Gràfica
dc.identifier.doi10.2312/eurp.20171184
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://diglib.eg.org:443/handle/10.2312/eurp20171184
dc.rights.accessOpen Access
local.identifier.drac21121206
dc.description.versionPostprint (published version)
dc.relation.projectidinfo:eu-repo/grantAgreement/MINECO//TIN2014-52211-C2-1-R/ES/GENERACION, SIMULACION Y VISUALIZACION DE MODELOS 3D A PARTIR DE GRANDES CONJUNTOS DE DATOS. APLICACIONES EN LA MEJORA DE LA CALIDAD DE VIDA DE LAS PERSONAS Y SU ENTORNO/
local.citation.authorCeballos, V.; Monclús, E.; Vázquez, P.; Bendezú, Á.; Mego, M.; Merino, X.; Azpiroz, F.; Navazo, I.
local.citation.contributorAnnual EG/VGTC Conference on Visualization
local.citation.pubplaceBarcelona
local.citation.publicationNameEuroVis 2017: Eurographics/IEEE VGTC Conference on Visualization 2017: Barcelona, Spain, June 12-16, 2017: posters
local.citation.startingPage121
local.citation.endingPage123


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