Brain MRI image segmentation in view of tumor detection: Application to multiple sclerosis

Abstract

Multiple Sclerosis (MS) is an inflammatory and demyelization disease that causes the disorder of the central nervous system. Magnetic resonance imaging (MRI) becomes the most important means for a better understanding of the disease. A variety of methods to segment these lesions are available to make the lesions detection less fastidious. So, we use a robust algorithm on EM algorithm that proposes an original detection scheme for outliers. The results obtained are very satisfactory. © 2012 Springer-Verlag.