Robustness of Wiener filtering as an approximation to the Bayesian observerstragegy

Nghia Q. Nguyen, Craig K. Abbey, Michael F. Insana

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Wiener filters applied to channel-summed RF echo data was approximated tothe ideal Bayesian beamforming strategy for imaging breast lesion features. Theycan be computed in real-time and perform well provided the system responsematrix is circulant. Real systems exhibit depth-varying impulse responses, soperformance degrades for some essential diagnostic features. This paperdescribes the effects of circulant assumption (CA) violations on the robustnessof human visual discrimination efficiency, and the effects of regularization, asapplied to beamformers for breast sonography. The Wiener filter is then adaptedfor shift-varying system responses. The trade off between performance andcomputation time for each approach is studied using simulations and phantomsscanned with a commercial system.

Original languageEnglish (US)
Title of host publication2010 IEEE International Ultrasonics Symposium, IUS 2010
Pages995-998
Number of pages4
DOIs
StatePublished - Dec 1 2010
Event2010 IEEE International Ultrasonics Symposium, IUS 2010 - San Diego, CA, United States
Duration: Oct 11 2010Oct 14 2010

Publication series

NameProceedings - IEEE Ultrasonics Symposium
ISSN (Print)1051-0117

Other

Other2010 IEEE International Ultrasonics Symposium, IUS 2010
Country/TerritoryUnited States
CitySan Diego, CA
Period10/11/1010/14/10

Keywords

  • Beamforming
  • breast sonography
  • ideal observer
  • image quality
  • spatial filters

ASJC Scopus subject areas

  • Acoustics and Ultrasonics

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