Automatic MRI brain tissue segmentation using a hybrid statistical and geometric model

TitleAutomatic MRI brain tissue segmentation using a hybrid statistical and geometric model
Publication TypeJournal Article
Year of Publication2006
AuthorsHuang, A., R. Abugharbieh, R. Tam, and A. Traboulsee
Journal2006 3rd IEEE International Symposium on Biomedical Imaging: Macro to Nano , Vols 1-3
Pagination394–397
ISSN1945-7928
Abstract

This paper presents a novel hybrid segmentation technique incorporating a statistical as well as a geometric model in a unified segmentation scheme for brain tissue segmentation of magnetic resonance imaging (MRI) scans. We combine both voxel probability and image gradient and curvature information for segmenting gray matter (GM) and white matter (WM) tissues. Both qualitative and quantitative results on synthetic and real brain MRI scans indicate superior and consistent performance when compared with standard techniques such as SPM and FAST.

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