dc.contributor.author | Orellana Bech, Bernat |
dc.contributor.author | Monclús Lahoya, Eva |
dc.contributor.author | Navazo Álvaro, Isabel |
dc.contributor.author | Bendezú García, Álvaro |
dc.contributor.author | Malagelada Prats, Carolina |
dc.contributor.author | Azpiroz Vidaur, Fernando |
dc.contributor.other | Universitat Politècnica de Catalunya. Doctorat en Computació |
dc.date.accessioned | 2023-03-10T07:31:01Z |
dc.date.available | 2023-03-10T07:31:01Z |
dc.date.issued | 2023-02-28 |
dc.identifier.citation | Orellana, B. [et al.]. End to end colonic content assessment: colonMetry application. "Diagnostics", 28 Febrer 2023, vol. 13, núm. 5, article 910. |
dc.identifier.issn | 2075-4418 |
dc.identifier.uri | http://hdl.handle.net/2117/384829 |
dc.description.abstract | The 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.iso | eng |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica::Bioinformàtica |
dc.subject.lcsh | Medicine |
dc.subject.lcsh | Graph theory |
dc.subject.lcsh | Colon segmentation |
dc.subject.other | Magnetic resonance imaging |
dc.subject.other | Colonic content |
dc.subject.other | Colon segmentation |
dc.subject.other | Intestinal biomass |
dc.subject.other | Intestinal gas |
dc.subject.other | Functional digestive disorders |
dc.title | End to end colonic content assessment: colonMetry application |
dc.type | Article |
dc.subject.lemac | Algorismes |
dc.subject.lemac | Imatges mèdiques |
dc.subject.lemac | Imatges -- Processament |
dc.subject.lemac | Grafs, Teoria de |
dc.contributor.group | Universitat Politècnica de Catalunya. ViRVIG - Grup de Recerca en Visualització, Realitat Virtual i Interacció Gràfica |
dc.identifier.doi | 10.3390/diagnostics13050910 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | https://www.mdpi.com/2075-4418/13/5/910 |
dc.rights.access | Open Access |
local.identifier.drac | 35265096 |
dc.description.version | Postprint (published version) |
local.citation.author | Orellana, B.; Monclús, E.; Navazo, I.; Bendezú, Á.; Malagelada, C.; Azpiroz, F. |
local.citation.publicationName | Diagnostics |
local.citation.volume | 13 |
local.citation.number | 5, article 910 |