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dc.contributor.authorOrellana Bech, Bernat
dc.contributor.authorMonclús Lahoya, Eva
dc.contributor.authorNavazo Álvaro, Isabel
dc.contributor.authorBendezú García, Álvaro
dc.contributor.authorMalagelada Prats, Carolina
dc.contributor.authorAzpiroz Vidaur, Fernando
dc.contributor.otherUniversitat Politècnica de Catalunya. Doctorat en Computació
dc.date.accessioned2023-03-10T07:31:01Z
dc.date.available2023-03-10T07:31:01Z
dc.date.issued2023-02-28
dc.identifier.citationOrellana, B. [et al.]. End to end colonic content assessment: colonMetry application. "Diagnostics", 28 Febrer 2023, vol. 13, núm. 5, article 910.
dc.identifier.issn2075-4418
dc.identifier.urihttp://hdl.handle.net/2117/384829
dc.description.abstractThe analysis of colonic contents is a valuable tool for the gastroenterologist and has multiple applications in clinical routine. When considering magnetic resonance imaging (MRI) modalities, T2 weighted images are capable of segmenting the colonic lumen, whereas fecal and gas contents can only be distinguished in T1 weighted images. In this paper, we present an end-to-end quasi-automatic framework that comprises all the steps needed to accurately segment the colon in T2 and T1 images and to extract colonic content and morphology data to provide the quantification of colonic content and morphology data. As a consequence, physicians have gained new insights into the effects of diets and the mechanisms of abdominal distension
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectÀrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica::Bioinformàtica
dc.subject.lcshMedicine
dc.subject.lcshGraph theory
dc.subject.lcshColon segmentation
dc.subject.otherMagnetic resonance imaging
dc.subject.otherColonic content
dc.subject.otherColon segmentation
dc.subject.otherIntestinal biomass
dc.subject.otherIntestinal gas
dc.subject.otherFunctional digestive disorders
dc.titleEnd to end colonic content assessment: colonMetry application
dc.typeArticle
dc.subject.lemacAlgorismes
dc.subject.lemacImatges mèdiques
dc.subject.lemacImatges -- Processament
dc.subject.lemacGrafs, Teoria de
dc.contributor.groupUniversitat Politècnica de Catalunya. ViRVIG - Grup de Recerca en Visualització, Realitat Virtual i Interacció Gràfica
dc.identifier.doi10.3390/diagnostics13050910
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://www.mdpi.com/2075-4418/13/5/910
dc.rights.accessOpen Access
local.identifier.drac35265096
dc.description.versionPostprint (published version)
local.citation.authorOrellana, B.; Monclús, E.; Navazo, I.; Bendezú, Á.; Malagelada, C.; Azpiroz, F.
local.citation.publicationNameDiagnostics
local.citation.volume13
local.citation.number5, article 910


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