Title :
Fuzzy Logic Approach to Identification of Cellular Quantity by Ultrasonic System
Author :
Yamaguchi, Satoshi ; Nagamune, Kouki ; Oe, Keisuke ; Kobashi, Syoji ; Kondo, Katsuya ; Hata, Yutaka
Author_Institution :
Univ. of Hyogo, Hyogo
Abstract :
This paper introduces an ultrasound identification system for cellular quantity of artificial culture bone with fuzzy inference. In our method, first, we measure ultrasound wave. Second, we obtain the two characteristics of the amplitude and the frequency. The amplitude is calculated as the Peak to Peak value, and the frequency is calculated from frequency spectrum of transfer-function by using cross-spectrum method. Our fuzzy inferences system estimates the cellular quantity from these values. As an experimental result, our identification system could evaluate the cellular quantity in culture bone with high accuracy.
Keywords :
artificial organs; biomedical ultrasonics; bone; cellular biophysics; diseases; fuzzy logic; fuzzy reasoning; medical image processing; artificial culture bone; bone disease; cellular quantity identification; cross-spectrum method; fuzzy inference system; fuzzy logic approach; transfer-function frequency spectrum; ultrasonic identification system; Bones; Filling; Frequency; Fuzzy logic; Fuzzy systems; Humans; Probes; Transmitters; Ultrasonic imaging; Ultrasonic variables measurement;
Conference_Titel :
Granular Computing, 2007. GRC 2007. IEEE International Conference on
Conference_Location :
Fremont, CA
Print_ISBN :
978-0-7695-3032-1
DOI :
10.1109/GrC.2007.68