Abstract：
: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.
journal_name
Ultrasonicsjournal_title
Ultrasonicsauthors
Prager RW,Gee AH,Treece GM,Berman LHdoi
10.1016/s0041-624x(02)00104-xsubject
Has Abstractpub_date
2002-05-01 00:00:00pages
133-7issue
1-8eissn
0041-624Xissn
1874-9968pii
S0041-624X(02)00104-Xjournal_volume
40pub_type
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