Title: Automated model-based tissue classification of MR images of the brain
Authors: Van Leemput, Koen ×
Maes, Frederik
Vandermeulen, Dirk
Suetens, Paul #
Issue Date: Oct-1999
Series Title: IEEE transactions on medical imaging vol:18 issue:10 pages:897-908
Abstract: We describe a fully automated method for model-based tissue classification of magnetic resonance (MR) images of the brain. The method interleaves classification with estimation of the model parameters, improving the classification at each iteration. The algorithm is able to segment single- and multispectral MR images, corrects for MR signal inhomogeneities, and incorporates contextual information by means of Markov random Fields (MRF's). A digital brain atlas containing prior expectations about the spatial location of tissue classes is used to initialize the algorithm. This makes the method fully automated and therefore it provides objective and reproducible segmentations. We have validated the technique on simulated as well as on real MR images of the brain.
ISSN: 0278-0062
Publication status: published
KU Leuven publication type: IT
Appears in Collections:ESAT - PSI, Processing Speech and Images
× corresponding author
# (joint) last author

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