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dc.contributorUniversitat Ramon Llull. La Salle
dc.contributorUniversitat Politècnica de Catalunya
dc.contributor.authorGarcía Pañella, Óscar
dc.contributor.authorSusín Sánchez, Antonio
dc.date.accessioned2021-06-01T18:07:39Z
dc.date.accessioned2023-07-13T09:52:50Z
dc.date.available2021-06-01T18:07:39Z
dc.date.available2023-07-13T09:52:50Z
dc.date.created2003-07
dc.date.issued2003-07
dc.identifier.urihttp://hdl.handle.net/20.500.14342/2946
dc.description.abstractAs presented in previous editions, our method describes the three-dimensional reconstruction of the internal and external surfaces of the human's left ventricle from medical data. The reconstruction is a first process inside a complete VR application that will serve as an important diagnosis tool for hospitals. The segmentation process has been thoroughly refined in order to provide a robust border detection. Edges must be labeled as internal or external borders in order to allow the posterior dynamic method to perform the 3D reconstruction of the surfaces. The filtering process is based on the Maximum-Likelihood Classification approach. The algorithm rewards an edge depending on its probability to be a surface border. Probabilities are derived from several key characteristics.eng
dc.format.extent13 p.cat
dc.language.isoengcat
dc.publisherXIII Congreso Español de Informática Gráfica, A Coruña, 2 al 4 de julio 2003cat
dc.rights© L'autor/a. Tots el drets reservats
dc.sourceRECERCAT (Dipòsit de la Recerca de Catalunya)
dc.subject.otherImatgeria tridimensionalcat
dc.subject.otherImatges -- Processamentcat
dc.subject.otherRealitat virtualcat
dc.titleMLC filtering applied to the 3D reconstruction of the left ventriclecat
dc.typeinfo:eu-repo/semantics/conferenceObjectcat
dc.rights.accessLevelinfo:eu-repo/semantics/openAccess
dc.embargo.termscapcat
dc.subject.udc004


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