Abstract

Abstract: Liver disease is one of the major causes of death globally. Cirrhosis is a late stage complication caused by many forms of liver diseases and conditions which results in loss of liver cells and irreversible scarring of the liver. About 216,865 deaths are attributed annually to liver diseases. Symptoms of cirrhosis cannot be identified easily since they are non-specific in addition to the fact that often no signs and symptoms develop until liver damage is extensive. This paper proposes a computer aided diagnostic method to identify liver cirrhosis using MRI images by finding the number of pixels of edge detected binary image of healthy and cirrhotic liver. The results obtained show that there is a difference of about tens of thousands of pixels exists between healthy and cirrhotic liver. Hence there is a possibility of CAD of liver cirrhosis by the proposed method. Keywords: CAD, Cirrhosis, Edge Detection, Pixel Count, Matlab 2015a..