Tissue Flow Detection Using Fuzzy Logic Method in Color Flow Imaging

Abstract

Tissue/flow detection is critical for high quality 2-D color flow image. The traditional tissue/flow detection method is based on one or several thresholds which are used for parameters after autocorrelation. Generally a lot of parameters: flow magnitude, variance and velocity are applied for tissue/flow detection. But this method may not distinguish tissue/flow because of moving tissue or noise. So in this paper, fuzzy logic method with multi-level range based on in vivo carotid I/Q data was proposed with three parameters: echo amplitude, flow magnitude and Flow variance for tissue/flow detection and then decision look-up-table (LUT) was designed for real time display. Experiment results shows that fuzzy logic method was improved for tissue flow detection significantly and can get high quality 2-D color flow image.