DocumentCode :
1304282
Title :
Three-dimensional tissue motion and its effect on image noise in elastography
Author :
Kallel, Faouzi ; Ophir, Jonathan
Author_Institution :
Ultrasonics Lab., Texas Univ. Med. Sch., Houston, TX, USA
Volume :
44
Issue :
6
fYear :
1997
Firstpage :
1286
Lastpage :
1296
Abstract :
In elastography both high correlation coefficient between pre- and post-compression RF signals and high applied strain are required to achieve the best quality in elastograms. Because the elastogram is computed using a 1-D cross-correlation technique applied to a 1-D ultrasound signal, it is assumed that tissue motion occurs only within the axis of compression (axis of the acoustic wave propagation), or at least that the scatterers remain within the acoustic beam during tissue motion. In practice, soft tissues are incompressible and, therefore, the lateral and elevational (out-of-plane) tissue strains are 50% of the applied strain. Therefore, tissue scatterers may move across the beam due to the applied compression. In this paper we address the degradation of the elastographic quality due to the lateral and elevational motion of the scatterers in uniformly elastic media. A full 3-D model predicting the correlation coefficient as measured using 1-D cross-correlations is proposed. It is shown that the signal-to-noise ratio in elastograms (SNR/sub e/) is nonstationary, and that it depends on the beamwidth and on the applied strain. In order to achieve a higher stationary SNR/sub e/, it is proposed to confine the tissue in the lateral direction. Phantom experiments are used to corroborate the theoretical developments.
Keywords :
acoustic correlation; acoustic noise; biomechanics; biomedical ultrasonics; 1D ultrasound signal; RF signal compression; acoustic beam scattering; cross-correlation; elastography; image noise; phantom; signal-to-noise ratio; soft tissue; strain; three-dimensional motion; Acoustic beams; Acoustic propagation; Acoustic scattering; Acoustic waves; Biological tissues; Capacitive sensors; Degradation; Predictive models; Signal to noise ratio; Ultrasonic imaging;
fLanguage :
English
Journal_Title :
Ultrasonics, Ferroelectrics, and Frequency Control, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-3010
Type :
jour
DOI :
10.1109/58.656632
Filename :
656632
Link To Document :
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