Title: Analysis of lesions in multiple sclerosis using image processing techniques

Authors: G. Wiselin Jiji

Addresses: Department of Computer Science & Engineering, Dr. Sivanthi Aditanar College of Engineering, Tiruchendur 628215, Tamil Nadu, India

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.

Keywords: lesions; multiple sclerosis; region growing; bias field correction; biomedical engineering; lesion detection; image processing; magnetic resonance imaging; MRI; biomarkers; automatic identification.

DOI: 10.1504/IJBET.2015.072932

International Journal of Biomedical Engineering and Technology, 2015 Vol.19 No.2, pp.118 - 132

Received: 16 Sep 2014
Accepted: 13 Apr 2015
Published online: 08 Nov 2015 *

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