Diagnosis of Liver Diseases for MRI Image by using Abductive Image Analysis

Abstract

Liver is vital organ in human anatomy. People are suffering from liver damage problems due to eating of polluted food, smoking tobacco or drinking alcohol. Main aim of this paper is to diagnosis for the damage of liver and predicting the future condition of patient’s entire body by applying comparison concept [1] for existing images with by using Pixel values.In this paper we are collecting four different types of datasets after collecting the datasets first of all we are generating the grayscale images of all datasets. After generating the matrices of each and every grayscale image of all datasets. When we want to find out the position of a liver then collecting the 2D MRI Digital image. Next generating its matrix values through its grayscale image after that we are finding the similarities between the new image pixel values with existing images in datasets. When we are getting huge similarities between the existing images with new image then we are conforming the new image position.