Abstract
This paper presents a fuzzy diagnosis system for fatty liver using ultrasonic imaging. Firstly this system extracts the unit regions of both liver and kidney from original ultrasonic image, and then calculates the possibility of fatty liver by using “Liver-Kidney Contrast”. The system utilizes fuzzy inference in two parts. In the former part, the system utilizes the information of two organs' location after classifying each unit region into two categories, i.e. kidney and liver, with 5 image features, which are fractal dimension, two local fractal dimensions, average and contrast. In the latter part, the system calculates “Liver-Kidney Contrast” using regions of liver and kidney that extracted by the method in the former part. Then the possibility of fatty liver is calculated. 16 cases were applied to evaluate the performance of our system. 10 fatty liver cases and 6 normal liver cases had been diagnosed by a doctor for the reference. Our system diagnosed 7 fatty liver cases and all 6 normal liver cases had been diagnosed by a doctor for the reference. Our system diagnosed 7 fatty liver cases and all 6 normal liver cases correctly. The accuracy is 81.3%. Therefore, our system is considered to be effective for supporting ultrasonic imaging diagnosis in case of screening fatty liver.
