Tissue Flow Detection Based on Fuzzy Logic Processing
A method of tissue/flow detection has been developed for medical ultrasound color flow imaging. For most of ultrasound scanners, the tissue/flow detection is made on the basis of one or more thresholds against which flow parameters received by the ultrasound system are compared. However, this method is inadequate to clearly distinguish blood flow from moving tissue due to the overlap of the numerical ranges of detected parameters. Instead of a clear-cut approach, we presented a fuzzy logic based processing to deal with three flow parameters: flow magnitude, variance and velocity, for tissue/flow detection. Computer simulations and in vivo testing demonstrated that the new method has better performance compared with those using fixed thresholds.
Doppler color flow mapping tissue/flow detection flow parameters fuzzy logic
Haijing Liu Dong C.Liu
School of Computer Science,Sichuan University Chengdu,Sichuan,P R China
国际会议
北京
英文
1-4
2009-06-11（万方平台首次上网日期，不代表论文的发表时间）