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Subsections
At the focus, we consider the phase of k-space response of
the ultrasound system to be flat. If we multiply this flat phase
k-space response by the complex spectrum of speckle, we
observe no net change in the amplitude spectrum, but the phase
spectrum takes on the characteristics of the speckle, as shown in
Figure 6.1. The phase and amplitude characteristics
of the transmit, scattering, and receive events can be represented as
three random walks in complex amplitude space. The randomization of
phase in any of these walks results in the production of a speckle
pattern.
Figure 6.1:
The complex spectra for a point target (top) and for a
speckle target (middle) in the lateral k-space dimension. The
observed (imaged) speckle pattern (bottom) reflects the spatial
frequency response of the imaging system.
 |
It is also important to note that the randomization of phase shown in
Figure 6.1 can also be produced by phase errors or
phase aberration in either the aperture function or the propagation
path. In this manner, it is possible for a point target that has flat
phase to appear as a localized speckle pattern to the imaging system,
as its echo has taken on the phase characteristics of speckle across
the aperture.
In considering the autocorrelation operation applied to speckle,
recall that the power spectrum is the Fourier transform of the
autocorrelation operation, and that neither function has a phase
component. Therefore, we expect in the autocorrelation functions of a
point target (that has a target spectrum with flat phase) and a speckle
pattern (that has a target spectrum with random phase) to be the same
in both lateral and axial dimensions, since the autocorrelation
function is phase independent. These functions for RF and detected
speckle signals are shown in Figure 6.2.
Figure 6.2:
The autocorrelation functions of the RF signal (solid line)
and the detected signal (dashed line) for the axial (top) and lateral
(bottom) dimensions.
 |
Any power spectrum or autocorrelation function estimated from a
limited window of speckle data will have random fluctuations due to
the stochastic nature of the speckle pattern. Thus when these functions
are actually estimated from speckle data, one must average over many
independent realizations of the speckle to produce the expected
result.
The ringing in the autocorrelation function of the original RF echo
signal means that its main lobe width cannot be used as a meaningful
index of spatial resolution. There is no ringing in the lateral
dimension.
The widths of the detected signal's lateral and axial autocorrelation
functions reflect the system resolution in these dimensions. We use
the following rules of thumb:
- lateral resolution =
- axial resolution
pulse length (
for 100% relative bandwidth)
In general, lateral resolution is worse than axial resolution, and
gets worse with range. Therefore, the system resolution is
anisotropic. Given the Gaussian axial spatial frequency response and
typical attenuation, the shape of the echo envelope remains constant.
Thus axial resolution is constant over range even though the echo
pulse's mean frequency decreases.
The speckle statistics presented here follow Goodman[23].
Another good source on laser optics is also by
Goodman[24]. The first discussion of ultrasound speckle
using statistical optics is in Burckhardt[25].
Advanced papers on the statistics of speckle include Wagner,
et al.[26] and Thijssen, et
al.[27]. A classic paper on the second-order statistics
of speckle is by Wagner, et al.[28]. The effect
of aberration on speckle statistics is discussed in Trahey and Smith,
et al.[29,30]. A discussion of Rician
statistics in tissue characterization is in Insana, et
al.[17]. There are many sources on compounding. Several
sources include investigations of spatial compounding in Trahey and
O'Donnell, et al.[31,32] and of frequency
compounding Melton and Trahey [33,34].
Next: Spatial and temporal coherence
Up: A seminar on k-space
Previous: First order speckle statistics
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Martin E. Anderson