Sk. Alam et J. Ophir, REDUCTION OF SIGNAL DECORRELATION FROM MECHANICAL COMPRESSION OF TISSUES BY TEMPORAL STRETCHING - APPLICATIONS TO ELASTOGRAPHY, Ultrasound in medicine & biology, 23(1), 1997, pp. 95-105
Citations number
34
Categorie Soggetti
Radiology,Nuclear Medicine & Medical Imaging",Acoustics
Elastography is based on the estimation of strain due to tissue compre
ssion. Strain is computed from the estimates of time delays between ga
ted precompression and postcompression echo signals. Time delay estima
tes are obtained from the location of the peak of the crosscorrelation
function between gated precompression and postcompression signals. It
is of paramount importance to accurately estimate the time delays for
good quality elastograms. A main source of time delay estimation (TDE
) error in elasticity imaging is the decorrelation of the echo signal
as a result of tissue compression (decorrelation noise). The effect of
decorrelation on the mean of the cross-correlation function and the c
orrelation coefficient has been investigated. The expected value of th
e cross-correlation function between the precompression and postcompre
ssion signals was shown to be a filtered version of the autocorrelatio
n function of the precompression signal. In this article, the effect o
f temporal stretching of the postcompression echo signal on the crossc
orrelation function will be investigated along the same line. The appl
ied compression is assumed to be uniform; the decorrelations introduce
d by the lateral and elevational tissue movements are ignored. The the
ory predicts that if the postcompression echo signals are stretched be
fore the TDE step, then for small strains, the cross-correlation funct
ion very closely resembles the autocorrelation function. For larger st
rains, correlation is improved if temporal stretching is applied. The
theory is corroborated by results from simulation and homogeneous phan
tom experiments. Thus, the decorrelation noise in elastograms can be r
educed by temporal stretching of the postcompression signal. Copyright
(C) 1997 World Federation for Ultrasound in Medicine & Biology.