White matter lesion extension to automatic brain tissue segmentation on MRI

Abstract

A fully automated brain tissue segmentation method is optimized and extended with white matter lesion segmentation. Cerebrospinal fluid (CSF), gray matter (GM) and white matter (WM) are segmented by an atlas-based k-nearest neighbor classifier on multi-modal magnetic resonance imaging data. This classifier is trained by registering brain atlases to the… (More)
DOI: 10.1016/j.neuroimage.2009.01.011

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@article{Boer2009WhiteML, title={White matter lesion extension to automatic brain tissue segmentation on MRI}, author={Renske de Boer and Henri A. Vrooman and Fedde van der Lijn and Meike W. Vernooij and M. Arfan Ikram and Aad van der Lugt and Monique M. B. Breteler and Wiro J. Niessen}, journal={NeuroImage}, year={2009}, volume={45 4}, pages={1151-61} }