Abstract Paper


Journal of Computing and Intelligent Systems - JCIS

Title : Analysis on Multiple Sclerosis Lesion Segmentation in Brain Magnetic Resonance Images using Edge and Contour based Algorithms
Author(s) : D. Poobathy, R. Manicka Chezian
Article Information : Volume 1 : Issue 2 (December - 2017) , 41 -44
Affiliation(s) : Ph.D Scholar, Department of Computer Science, NGM College, Pollachi, Tamil Nadu, India.
: Associate Professor, Department of Computer Science, NGM College, Pollachi, Tamil Nadu, India.

Abstract :

Multiple Sclerosis, shortly MS is persistent neural disease, which damages the neural system in the brain, spinal cord, and optic nerves. Sclerosis is scarring, and people with MS develop multiple areas of scar tissue in response to the nerve damage. Identifying MS by using Brain MR Images are widely accepted method. Normally MRI are Radio Gray-scale images. Recognising MS lesions in the brain nerves in the gray values is complicated task. So various segmentation methods are applied to locate the disease area in the brain. In this paper two major segmentation methods, Edge based and Contour based are used for the MS analysis.


Keywords : Segmentation, Multiple Sclerosis, Magnetic Resonance Image
Document Type : Research Paper
Publication date : January 06, 2018