A unifying framework for partial volume segmentation of brain MR images.

Accurate brain tissue segmentation by intensity-based voxel classification of magnetic resonance (MR) images is complicated by partial volume (PV) voxels that contain a mixture of two or more tissue types. In this paper, we present a statistical framework for PV segmentation that encompasses and ext...

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Détails bibliographiques
Publié dans:	IEEE Transactions on medical imaging 22, 1 (2003).
Auteur principal:	Van Leemput, K.
Format:	Article
Langue:	anglais
Sujets:	PV segmentation. Brain MR images. Brain tissue segmentation. Downsampling step. Expectation-maximization approach. Intensity-based voxel classification. Magnetic resonance images. One single tissue type. Parametric statistical image model. Partial volume classification. Partial volume segmentation. Partial volume voxels. Partial voluming. Real MR images. Robust parameter estimation. Simulated images. Spatial distribution. Spatial prior knowledge. Statistical framework. Tissue borders. Tissue types. Unifying framework.