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Fuzzy Logic in Trans-Skull Ultrasonic Imaging System
Yutaka Hata,Syoji Kobashi,Toshio Yanagida 한국지능시스템학회 2010 한국지능시스템학회 학술발표 논문집 Vol.20 No.2
This paper describes a fuzzy logic approach to image a brain surface and skull from arbitrary places. This paper first describes a trans-skull sonography system that can visualize the shape of the skull and brain surface from any point to examine skull fracture and some brain diseases. We employ fuzzy signal processing to determine the skull and brain surface. Two human subjects’ foreheads are applied in our system. The all shapes of the skin surface, skull surface, skull bottom, and brain tissue surface are successfully determined. Second, we consider a ultrasonic refraction of the skull to image brain sulcus. We do an experiment by using a cow scapula to imitate the skull bone and a biological phantom to imitate the cerebral sulcus. We calculate the refractive angle of ultrasonic wave and visualize the image considering the refraction of ultrasonic wave. In the result of applying our method, we can estimate the thickness of scapula at all points, and successfully visualize the phantom surface image.