In elastography, we want to image the entire range of stiffnesses of t
he elastic components found in inhomogeneous tissues. In order to achi
eve this, the elastographic dynamic range should equal the entire stif
fness dynamic range in the target. Various sources of noise limit the
dynamic range of elastography. The recently-defined strain filter conc
ept offers an analytical and graphical way of observing these limitati
ons. In this paper, we describe a method that achieves the expansion o
f the elastographic dynamic range. It involves the application of vari
able strains in combination with selective storage of strain data that
have optimal elastographic signal-to-noise ratios. This expands the c
urrent dynamic range of elastography by orders of magnitude when compa
red to single compression elastography. The process is explained theor
etically using the strain filter framework, and 1D as well as 2D tissu
e simulations are used to corroborate the theory. (C) 1997 Dynamedia,
Inc.