A new label fusion method using graph cuts: application to hippocampus segmentation

Platero Dueñas, Carlos and Tobar Puente, M. del Carmen and Sanguino Botella, Fco. Javier and Velasco Manuel, Olga (2014). A new label fusion method using graph cuts: application to hippocampus segmentation. In: "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.

Description

Title: A new label fusion method using graph cuts: application to hippocampus segmentation
Author/s:
  • Platero Dueñas, Carlos
  • Tobar Puente, M. del Carmen
  • Sanguino Botella, Fco. Javier
  • Velasco Manuel, Olga
Item Type: Presentation at Congress or Conference (Article)
Event Title: XIII Mediterranean Conference on Medical and Biological Engineering and Computing 2013 / MEDICON 2013, 25-28 September 2013, Seville, Spain
Event Dates: 25/09/2013 - 28/09/2013
Event Location: Sevilla, España
Title of Book: XIII Mediterranean Conference on Medical and Biological Engineering and Computing 2013: IFMBE Proceedings
Date: 2014
ISBN: 978-3-319-00845-5
Volume: 41
Subjects:
Freetext Keywords: Label fusion; Atlas-based segmentation; Hippocampus segmentation
Faculty: E.T.S.I. Diseño Industrial (UPM)
Department: Electrónica, Automática e Informática Industrial [hasta 2014]
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

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.

More information

Item ID: 33313
DC Identifier: http://oa.upm.es/33313/
OAI Identifier: oai:oa.upm.es:33313
DOI: 10.1007/978-3-319-00846-2_43
Official URL: http://link.springer.com/chapter/10.1007/978-3-319-00846-2_43
Deposited by: Memoria Investigacion
Deposited on: 02 Feb 2015 12:55
Last Modified: 31 Mar 2015 22:56
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