Descripción
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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. | |
Internacional
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Si |
Nombre congreso
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XIII Mediterranean Conference on Medical and Biological Engineering and Computing 2013 |
Tipo de participación
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960 |
Lugar del congreso
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Sevilla, España |
Revisores
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Si |
ISBN o ISSN
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978-3-319-00845-5 |
DOI
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10.1007/978-3-319-00846-2_43 |
Fecha inicio congreso
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25/09/2013 |
Fecha fin congreso
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28/09/2013 |
Desde la página
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174 |
Hasta la página
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177 |
Título de las actas
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XIII Mediterranean Conference on Medical and Biological Engineering and Computing 2013 IFMBE Proceedings Volume 41, 2014 |