Analysis of speckle in ultrasound images using fractional order statistics and the homodyned k-distribution

It is necessary to identify speckled regions in ultrasound images to control adaptive speckle suppression algorithms, for tissue characterisation, and to estimate the elevational separation of B-scans by speckle decorrelation. Previous authors have proposed classification techniques based on second...

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Veröffentlicht in:Ultrasonics 2002-05, Vol.40 (1), p.133-137
Hauptverfasser: Prager, Richard W., Gee, Andrew H., Treece, Graham M., Berman, Laurence H.
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Sprache:eng
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Zusammenfassung:It is necessary to identify speckled regions in ultrasound images to control adaptive speckle suppression algorithms, for tissue characterisation, and to estimate the elevational separation of B-scans by speckle decorrelation. Previous authors have proposed classification techniques based on second order powers of the homodyned k-distribution, or lower order powers of the more limited k-distribution. In this paper we explore the speckle discrimination properties of statistics based on arbitrary powers of the ultrasound echo envelope signal using a combination of simulations and theoretical results from the homodyned k-distribution. We conclude that statistics based on powers less than one are surprisingly less effective than some higher powers. A simple discriminant function for speckle is evaluated quantitatively in simulation and qualitatively on sample B-scan images.
ISSN:0041-624X
1874-9968
DOI:10.1016/S0041-624X(02)00104-X