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

Authors:
Rabeb Mezgar;Mohamed Ali Mahjoub;Randa Salem;Abdellatif Mtibaa
Affiliations:
Laboratory of Electronics and Microelectronics, Faculty of Sciences of Monastir, University of Monastir, Tunisia;Research Unit SAGE (Advanced Systems in Electrical Engineering) Eniso, University of Sousse, Tunisia;Laboratory of interventional Radiology, University of Monastir, Tunisia;Laboratory of Electronics and Microelectronics, Faculty of Sciences of Monastir, University of Monastir, Tunisia
Venue:
ICISP'12 Proceedings of the 5th international conference on Image and Signal Processing
Year:
2012

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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.