Adaptive speckle reduction filter for log-compressed B-scan images.

Abstract:

:A good statistical model of speckle formation is useful for designing a good adaptive filter for speckle reduction In ultrasound B-scan images. Previously, statistical models have been used, but they failed to account for the log compression of the echo envelope employed by clinical ultrasound systems. Log-compression helps in reducing the dynamic range of the B-scan Images for display on a monitor as well as enhancing weak backscatters. In this article, statistics of log-compressed echo images, using the K-distribution statistical model for the echo envelope, are used to derive a parameter that can be used to quantify the extent of speckle formation. This speckle quantification can be used with an unsharp masking filter to adaptively reduce speckle. The effectiveness of the filter is demonstrated on images of contrast detail phantoms and on in-vivo abdominal images obtained by a clinical ultrasound system with log-compression.

journal_name

IEEE Trans Med Imaging

authors

Dutt V,Greenleaf JF

doi

10.1109/42.544498

subject

Has Abstract

pub_date

1996-01-01 00:00:00

pages

802-13

issue

6

eissn

0278-0062

issn

1558-254X

journal_volume

15

pub_type

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