DocumentCode :
20151
Title :
Multi-resolution transverse oscillation in ultrasound imaging for motion estimation
Author :
Varray, Francois ; Liebgott, H.
Author_Institution :
CREATIS, Univ. de Lyon, Lyon, France
Volume :
60
Issue :
7
fYear :
2013
fDate :
Jul-13
Firstpage :
1333
Lastpage :
1342
Abstract :
Beyond all recent methods for estimating multidimensional motion vectors in ultrasound (US) image sequences, the transverse oscillation (TO) images coupled with a phase-based motion estimator has shown to be an extremely promising approach. To improve existing TO techniques, this paper proposes a multi-resolution transverse oscillation (MRTO) that measures the motion in US image sequences at different resolutions. Several TO images are created using harmonic images obtained from nonlinear US propagation or from composite emissions. Motion estimations are made with increasing resolution levels, i.e., decreasing transverse wavelength, to improve the previous measurements. When only lateral motion is applied to the tissue, the resulting estimations, quantitatively assessed in both simulations and in vitro experiments, are significantly improved in terms of mean motion error and standard deviation. With a 1-mm displacement in the chirp transmission, the error is reduced from 40.9% to 0.1% in the simulation and from 41.6% to 1.5% in the experiment. The first quasi-static elastography results, in simulation and experimentation, also confirm this improvement with an increased contrast-to-noise ratio and signal-to-noise ratio.
Keywords :
biomedical ultrasonics; image sequences; medical image processing; motion estimation; oscillations; MRTO; US image sequences; chirp transmission; composite emissions; contrast-to-noise ratio; decreasing transverse wavelength; error reduction; harmonic images; mean motion error; motion estimations; multi-resolution transverse oscillation; multidimensional motion vectors; multiresolution transverse oscillation; nonlinear US propagation; phase-based motion estimator; quasi-static elastography; signal-to-noise ratio; standard deviation; transverse oscillation images; ultrasound image sequences; ultrasound imaging;
fLanguage :
English
Journal_Title :
Ultrasonics, Ferroelectrics, and Frequency Control, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-3010
Type :
jour
DOI :
10.1109/TUFFC.2013.2707
Filename :
6552385
Link To Document :
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