A synthetic lateral phase (SLP) displacement estimator using complex FIR filters

Lateral displacement estimation based on curve fitting has systematic bias and high variance at boundary regions of ultrasonic images. To solve this problem, we have demonstrated a synthetic lateral phase algorithm using multi-dimensional FFT processing with complex computation. In this paper, we propose a complex finite impulse response (FIR) filter method to enable potential real-time implementation of the synthetic lateral phase algorithm. It shows 46% reduction of estimation variance in an in-vitro experiment with good computational efficiency.