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Variational Bayes inference of spatial mixture models for segmentation.

Abstract:

Mixture models are commonly used in the statistical segmentation of images. For example, they can be used for the segmentation of structural medical images into different matter types, or of statistical parametric maps into activating and nonactivating brain regions in functional imaging. Spatial mixture models have been developed to augment histogram information with spatial regularization using Markov random fields (MRFs). In previous work, an approximate model was developed to allow adapti...

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Publication status:
Published

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Publisher copy:
10.1109/tmi.2006.880682

Authors


More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Psychiatry
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Clinical Neurosciences
Role:
Author
Journal:
IEEE transactions on medical imaging More from this journal
Volume:
25
Issue:
10
Pages:
1380-1391
Publication date:
2006-10-01
DOI:
EISSN:
1558-254X
ISSN:
0278-0062

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