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A robust Expectation-Maximization algorithm for Multiple Sclerosis lesion segmentation

Barillot, Christian, Garcia-Lorenzo, Daniel, Morrissey, Sean P., Prima, Sylvain
Visages, INRIA
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Please use this identifier to cite or link to this publication: http://hdl.handle.net/10380/1445
Published in The MIDAS Journal - MICCAI 2008 Workshop: MS Lesion Segmentation.
Submitted by Daniel Garcia lorenzo on 2008-07-14T19:51:35Z.

A fully automatic workflow for Multiple Sclerosis (MS) lesion segmentation is described. Fully automatic means that no user interaction is performed in any of the steps and that all parameters are fixed for all the images processed in beforehand. Our workflow is composed of three steps: an intensity inhomogeneity (IIH) correction, skull-stripping and MS lesions segmentation. A validation comparing our results with two experts is done on MS MRI datasets of 24 MS patients from two different sites.