Automatic Method to Segment the Liver on Multi-Phase MRI

Platero Dueñas, Carlos ORCID: https://orcid.org/0000-0003-3712-8297, Gonzalez Manchon, Pedro Maria ORCID: https://orcid.org/0000-0002-8806-3561, Tobar Puente, M. del Carmen ORCID: https://orcid.org/0000-0002-7370-6835, Poncela Pardo, Jose Manuel, Sanguino Botella, Fco. Javier ORCID: https://orcid.org/0000-0002-9203-101X, Asensio Madrid, Gabriel ORCID: https://orcid.org/0000-0001-9108-0840 and Santos, Ernesto (2008). Automatic Method to Segment the Liver on Multi-Phase MRI. En: "Computer Assisted Radiology and Surgery 22nd International Congress and Exhibition, CARS 2008", 25/06/2008-28/06/2008, Barcelona, España. ISBN 1861-6410. pp. 404-406.

Descripción

Título: Automatic Method to Segment the Liver on Multi-Phase MRI
Autor/es:
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: Computer Assisted Radiology and Surgery 22nd International Congress and Exhibition, CARS 2008
Fechas del Evento: 25/06/2008-28/06/2008
Lugar del Evento: Barcelona, España
Título del Libro: Proceedings of the Computer Assisted Radiology and Surgery 22nd International Congress and Exhibition, CARS 2008
Título de Revista/Publicación: International Journal of Computer Assisted Radiology and Surgery
Fecha: 2008
ISBN: 1861-6410
Materias:
ODS:
Escuela: E.U.I.T. Industrial (UPM) [antigua denominación]
Departamento: Matemática Aplicada
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

The detection and characterization of hepatic lesions is fundamental in clinical practice, from the diagnosis stages to the evolution of the therapeutic response. Magnetic resonance is a usual practice in the localization and quantification of hepatic lesions [1]. Multi-phase automatic segmentation of the liver is illustrated in T1 weighted images. This task is necessary for detecting the lesions. The proposed liver segmentation is based on 3D anisotropic diffusion processing without any control parameter. Combinations of edge detection techniques, histogram analysis, morphological post-processing and evolution of an active contour have been applied to the liver segmentation. The active contour evolution is based on the minimization of variances in luminance between the liver and its closest neighborhood.

Más información

ID de Registro: 3340
Identificador DC: https://oa.upm.es/3340/
Identificador OAI: oai:oa.upm.es:3340
URL Portal Científico: https://portalcientifico.upm.es/es/ipublic/item/9939293
URL Oficial: https://link.springer.com/article/10.1007/s11548-0...
Depositado por: Memoria Investigacion
Depositado el: 07 Mar 2011 13:06
Ultima Modificación: 17 Feb 2026 10:14