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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