An Investigation for Enhancing Registration Performance with Brain Atlas by Novel Image Inpainting Technique using Dice and Jaccard Score on Multiple Sclerosis (MS) Tissue

Abstract

This paper presents a novel approach of investigating registration performance of different Multiple Sclerosis (MS) affected brain tissues with brain atlas by image inpainting technique. MS is an immune-mediated disorder that develops from an interaction of the individual's genetics and unidentified environmental causes. In order to carry out medical diagnosis in proper time image registration plays a vital role. In this work, different MS lesions are introduced in healthy brain tissue in order to analyse and characterize according to their characteristics (T1 weighted image, T2 weighted image) because MS lesions create a strong bias in image registration process. Thus, image inpainting technique appears to be a handy tool to reduce the bias efficiently. It is evident that the proposed inpainting algorithm performs satisfactorily with a view to reducing the bias in the registration step. The overall performance of the technique is evaluated by utilizing Dice and Jaccard scores. MATLAB and FSL software are used to perform the simulation.