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

Vinayak Dutt, James F. Greenleaf

Research output: Contribution to journalArticle

165 Scopus citations

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 Bscan images for display on a monitor as well as enhancing weak backscatterers. 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.

Original languageEnglish (US)
Pages (from-to)802-813
Number of pages12
JournalIEEE transactions on medical imaging
Volume15
Issue number6
DOIs
StatePublished - Dec 1 1996

ASJC Scopus subject areas

  • Software
  • Radiological and Ultrasound Technology
  • Computer Science Applications
  • Electrical and Electronic Engineering

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