Abstract

An optimal method for estimating motion in ultrasound B-mode images is presented. Such estimation is often needed for diagnostic purposes to distinguish regions of the image with differing motion. The block matching technique is adapted to the nature and statistics of these images, using maximum likelihood (ML) estimation. In application to echocardiographic images, this approach is seen to give better results than standard block matching, without significantly increasing the computational complexity of the algorithm.