DETECTION OF MULTIPLE SCLEROSIS- A PROPOSED METHOD

Sudipta Roy and Prof. Samir Kumar Bandyopadhyay*

ABSTRACT

Multiple sclerosis (MS) is one of the major diseases, and the progressive MS lesion formation often leads to cognitive decline and physical disability. In this paper, a method has been discussed where background generation and binarization using global threshold are the key steps for MS lesions detection and segmentation. After performing three phase level set, we add third phase segmented region with a contour of the brain to connect the normal tissues near the boundary. Then remove all lesions except largest connected area and corpus callosum of the brain to generate adaptive background. The binarization method is used to select the threshold based on entropy and standard deviation preceded by non-gamut image enhancement. Proposed method accurately identifies the size and number of lesions as well as location of lesions detection as a radiologist performs. The adaptability of the proposed method creates a number of potential opportunities for use in clinical practice for the detection of MS lesions in MRI. Proposed method gives an improved accuracy, and low error compares to existing recent methods.

Keywords: MS lesion, Binarization, Multiple sclerosis.