An automated tissue discriminating method based on ultrasonic analysis

Abstract

This paper proposes an automated discriminating method of material using ultrasonic imaging that can conform change of tissue elasticity. The proposed method employs fuzzy infernce. Firstly, three attributes are acquired from ultrasonic wave of the known material. Secondly, membership functions are constructed using three attributes automatically. Finally, we presume the material using the function from unknown ultrasonic wave. We apply this method to two situations with bone phantom and without bone phantom. The experimental results on six materials showed that each presumed rates under the two situations were 86.6% and 63.3%.