Maximum Likelihood Motion Estimation in
Ultrasound Image Sequences.

M. G. Strintzis and I. Kokkinidis

Department of Electrical and Computer Engineering,
University of Thessaloniki,
54006 Thessaloniki, GREECE

Abstract

Maximum likelihood (ML) techniques are defined for optimum block matching to enable motion estimation in sequences of ultrasound B-mode images. Such motion estimation is needed as a diagnostic tool in medical use of ultrasound imagery. It is also needed for the efficient compression of sequences of ultrasound images. The novel ML block matching techniques correspond to accurate statistical descriptions of ultrasound images, and are evaluated experimentally using sequences of transesophageal ultrasound images of the heart.

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