We present a theoretical formalism and simulation results that allow t
he incorporation of the elastic contrast properties of tissues with si
mple geometries into the elastographic noise models developed previous
ly. This analysis results in the computation of the elastographic cont
rast-to-noise ratio (CNRe). The CNRe in elastography is an important q
uantity that is related to the detectability of a lesion or inhomogene
ity. In this paper, the upper bound on the elastographic CNRe is deriv
ed for both a one-dimensional (1-D) and 2-D analytic plane-strain tiss
ue model. The CNRe in the elastogram depends on the contrast-transfer
efficiency (CTE) for both the 1-D and 2-D geometries discussed in this
paper. The 1-D model is used to characterize layered structures and t
he 2-D model is derived for circular inclusion Within a background of
uniform elasticity, A previously derived classical analytic solution o
f the elasticity equations, for a circular inclusion embedded in an in
finite medium and subjected to a uniaxial compression, is used to comp
ute the upper bound of the CNRe. Monte Carlo simulations illustrate th
e close correspondence between the theoretical and simulation results.
(C) 1998 World Federation for Ultrasound in Medicine & Biology.