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A new label fusion method using graph cuts: application to hippocampus segmentation
Cita
Platero Dueñas, Carlos; Tobar Puente, M. del Carmen; Sanguino Botella, Fco. Javier y Velasco Manuel, Olga (2014). A new label fusion method using graph cuts: application to hippocampus segmentation. En: "XIII Mediterranean Conference on Medical and Biological Engineering and Computing 2013 / MEDICON 2013, 25-28 September 2013, Seville, Spain", 25/09/2013 - 28/09/2013, Sevilla, España. ISBN 978-3-319-00845-5. pp. 174-177. https://doi.org/10.1007/978-3-319-00846-2_43.
Descripción
| Título: | A new label fusion method using graph cuts: application to hippocampus segmentation |
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| Autor/es: |
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| Tipo de Documento: | Ponencia en Congreso o Jornada (Artículo) |
| Título del Evento: | XIII Mediterranean Conference on Medical and Biological Engineering and Computing 2013 / MEDICON 2013, 25-28 September 2013, Seville, Spain |
| Fechas del Evento: | 25/09/2013 - 28/09/2013 |
| Lugar del Evento: | Sevilla, España |
| Título del Libro: | XIII Mediterranean Conference on Medical and Biological Engineering and Computing 2013: IFMBE Proceedings |
| Fecha: | 2014 |
| ISBN: | 978-3-319-00845-5 |
| Volumen: | 41 |
| Materias: | |
| Palabras Clave Informales: | Label fusion; Atlas-based segmentation; Hippocampus segmentation |
| Escuela: | E.T.S.I. Diseño Industrial (UPM) |
| Departamento: | Electrónica, Automática e Informática Industrial [hasta 2014] |
| Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
Resumen
The aim of this paper is to develop a probabilistic modeling framework for the segmentation of structures of interest from a collection of atlases. Given a subset of registered atlases into the target image for a particular Region of Interest (ROI), a statistical model of appearance and shape is computed for fusing the labels. Segmentations are obtained by minimizing an energy function associated with the proposed model, using a graph-cut technique. We test different label fusion methods on publicly available MR images of human brains.
Más información
| ID de Registro: | 33313 |
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| Identificador DC: | http://oa.upm.es/33313/ |
| Identificador OAI: | oai:oa.upm.es:33313 |
| Identificador DOI: | 10.1007/978-3-319-00846-2_43 |
| URL Oficial: | http://link.springer.com/chapter/10.1007/978-3-319-00846-2_43 |
| Depositado por: | Memoria Investigacion |
| Depositado el: | 02 Feb 2015 12:55 |
| Ultima Modificación: | 31 Mar 2015 22:56 |
