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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.
| Título: | Automatic Method to Segment the Liver on Multi-Phase MRI |
|---|---|
| Autor/es: |
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| 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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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.
| 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 |
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