Motion artifact elimination algorithm with eigen-based clutter filter for color Doppler processing

Color Doppler imaging is used to visualize the distribution of blood flow in the region of interest. Slight relative motion may cause severe image corruption and incorrect blood velocity estimation. In this work, we propose a velocity bias cancellation algorithm based on the autocorrelation technique widely used in color Doppler and eigen-based clutter filter to eliminate the motion artifact. The proposed algorithm assists clutter filter to suppress tissue noises effectively and compensates the biased blood velocity. It has more than 3-9 dB better performance and the error of blood velocity estimation can be reduced by more than 69%.