Analysis of lesions in multiple sclerosis using image processing techniques
by G. Wiselin Jiji
International Journal of Biomedical Engineering and Technology (IJBET), Vol. 19, No. 2, 2015

Abstract: Detecting Multiple Sclerosis (MS) lesions from Magnetic Resonance (MR) images can facilitate early diagnosis and patient follow-up with the help of diagnosing MS disease. The author developed a novel approach in three tier architecture to detect the lesions as potential biomarkers. This approach requires pre-processing, skull stripping and object based 3D-region growing segmentation. We validate the method on MR images of multiple sclerosis patients by comparing its results with those of human expert segmentation. Thus, this approach will be a promising tool for assisting automatic identification of MS lesions and advancing mechanism studies of neurological and psychiatric diseases.

Online publication date: Sun, 08-Nov-2015

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