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Estimating the elastographic signal-to-noise ratio using correlation coefficients

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Title: Estimating the elastographic signal-to-noise ratio using correlation coefficients
Authors: Srinivasan, S.1,2, Kallel, F.1,2, Ophir, J.1,2 Jonathan.Ophir@uth.tmc.edu
Source: Ultrasound in Medicine & Biology. Mar2002, Vol. 28 Issue 3, p359-368. 10p.
Subjects: Ultrasonics, Elasticity, Computer simulation, Evaluation research, Research funding, Mathematical models, Imaging phantoms, Research methodology, Research, Theory, Comparative studies, Algorithms, Time
Abstract: In conventional elastography, strain is estimated from the gradient of the displacement (time-delay) estimates. The displacement estimates involve estimating the peak location of the cross-correlation function between matching pre- and post-compression A-lines. Bias errors in estimating the peak location of the cross-correlation function, amplified by the gradient operation on the displacement estimates (needed for the computation of the strain), could result in values of elastographic signal-to-noise ratio (SNRe) that exceed the theoretical upper bounds, thereby hindering a consistent interpretation of this parameter. These algorithmic errors have not been accounted for by the theory. We propose the use of the measured correlation coefficients in the theoretical SNRe expressions to estimate the SNRe, rather than computing them directly from the elastograms. This methodology results in values of SNRe that are lower than the theoretical upper bounds, thereby avoiding the problems associated with computing SNRe directly from the elastograms. Using simulated models of uniformly elastic phantoms, a proof of principle of such an SNRe measure is shown. (E-mail: Jonathan.Ophir@uth.tmc.edu) [Copyright &y& Elsevier]
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Database: Engineering Source
Description
Abstract:In conventional elastography, strain is estimated from the gradient of the displacement (time-delay) estimates. The displacement estimates involve estimating the peak location of the cross-correlation function between matching pre- and post-compression A-lines. Bias errors in estimating the peak location of the cross-correlation function, amplified by the gradient operation on the displacement estimates (needed for the computation of the strain), could result in values of elastographic signal-to-noise ratio (SNRe) that exceed the theoretical upper bounds, thereby hindering a consistent interpretation of this parameter. These algorithmic errors have not been accounted for by the theory. We propose the use of the measured correlation coefficients in the theoretical SNRe expressions to estimate the SNRe, rather than computing them directly from the elastograms. This methodology results in values of SNRe that are lower than the theoretical upper bounds, thereby avoiding the problems associated with computing SNRe directly from the elastograms. Using simulated models of uniformly elastic phantoms, a proof of principle of such an SNRe measure is shown. (E-mail: Jonathan.Ophir@uth.tmc.edu) [Copyright &y& Elsevier]
ISSN:03015629
DOI:10.1016/S0301-5629(01)00510-5