An Automated Ultrasound Discrimination System of Tissue
under an Obstacle by Fuzzy Reasoning
Takashi Shimizu, Kouki Nagamune, Syoji Kobashi, Katsuya Kondo, Yutaka Hata,
Yuri T. Kitamura*, and Toshio Yanagida*
Graduate School of Medicine, Osaka University
Proc. of 1st Int. Conf. on Soft Computing and Intelligent Systems,
CD-ROM, (2002)
This paper proposes an automated discrimination
system of tissue under an obstacle from ultrasound. A present
ultrasonic diagnosis system is widely used for a belly and a chest.
The transcranial diagnosis system with placement free using
ultrasound has not been developed. This paper describes the
discrimination system of tissues under an artificial bone as
preliminary experiment. The artificial bone is regarded as
human skull. In the first step, a fuzzy expert system is
automatically constructed without an artificial bone using four
attributes: an amplitude and three frequencies. In the second
step, we apply the system to tissue discrimination with an
artificial bone and discriminate the unknown material. In our
fuzzy rule, min operation, product operation and average
operation are used. The system was applied to 240 data (six
pairs with 40 trial). Consequently, the system using average
operation could discriminate tissue under an artificial bone with
the accuracy of 70.4%.