Magnificent fuzzy support to ultrasonography for disease opinion

Abstract

Decision support through expert systems becomes part of everyday life. The fuzzy logic theory is an intelligence technique to develop such expert system. It allows designing and developing many applications that employ effective mathematical calculations to solve real world based problems. The objective of this study is to develop an interactive method for presenting suggestions of sonographers or field experts with the help of fuzzy logic theory. In this approach the sonographic evidence of liver is considered to presenting the Radiologist/sonographer's opinion regarding a disease on behalf of the sonographic images generated by USG (Ultra Sono Graphy) machine. Here the liver parameters like liver size, hepatic vein size, duct size for IHBR ((Intra Hepatic Biliary Radicals) and Portal Vein Pressure is taken into consideration to display the results in terms of opinion regarding disease. These four parameters become the four inputs to the FIS (Fuzzy Inference System) editor, and one output i.e. disease opinion, the corresponding membership functions have to be created. The potential benefit of using fuzzy logic is to increase the simplicity and ease of report generation instantly with the sonographic images print outs. This will also save the time of expert to write the report separately. MATLAB software affords the basic support to relish such system.