Mixture Segmentation of Multispectral MR Brain Images for Multiple Sclerosis

We present a fully automatic mixture model-based tissue classification of multispectral (T1- and T2-weighted) magnetic resonance (MR) brain images. Unlike the conventional hard classification with a unique label for each voxel, our method models a mixture to estimate the partial volumes (PV) of mult...

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Bibliographic Details
Main Authors: Lihong Li, Xinzhou Wei, Xiang Li, Syed Rizvi, Zhengrong Liang
Format: Article
Language:English
Published: International Institute of Informatics and Cybernetics 2005-04-01
Series:Journal of Systemics, Cybernetics and Informatics
Subjects:
Online Access:http://www.iiisci.org/Journal/CV$/sci/pdfs/P977357.pdf