A confidence index weighted least squares filter for ultrasound displacement regularization

Filtering estimated displacements is widely used in ultrasonic strain imaging. To minimize spatial resolution loses due to filtering, we propose an adaptive, weighted least squares filtering scheme driven by a confidence index indicating estimation quality. Compared to traditional, non-adaptive median filtering, the variance of displacement estimation was reduced 61%. Moreover, this adaptive filtering scheme is particularly helpful in accumulating displacement and strain estimates.