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Subsections

Second Order Speckle Statistics

Speckle and the phase spectrum

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.
\begin{figure}\centering
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\epsfbox{figures/flat_phase.eps}\end{figure}

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.

The autocorrelation of speckle

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.
\begin{figure}\centering
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\epsfbox{figures/autocorrelation.eps}\end{figure}

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:

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.

Important speckle references:

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 up previous contents
Next: Spatial and temporal coherence Up: A seminar on k-space Previous: First order speckle statistics   Contents
Martin E. Anderson