Beamforming designs for breast sonography

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

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


The ideal observer (IO) methodology enables designers to derive optimal beamforming strategies for specific diagnostic tasks or general classes of tasks, although fast implementation requires approximations. We explore this approach in an effort to assess beamforming performance for a range of lesion-feature discrimination challenges. We show that matched-filter (MF), linearly-constrained minimum-variance (MV) with low-rank approximation, and Wiener-filter (WF) beamformers each emerge as approximations to the ideal-observer strategy for low-contrast lesion discrimination. For high-contrast tasks, we evaluate an iterative Wiener-filter (IWF) beamformer as a computationally-intense method for minimizing contrast assumptions when prior information is available.

Original languageEnglish (US)
Title of host publicationIEEE International Ultrasonics Symposium, IUS
PublisherIEEE Computer Society
Number of pages4
ISBN (Electronic)9781479970490
StatePublished - Oct 20 2014
Event2014 IEEE International Ultrasonics Symposium, IUS 2014 - Chicago, United States
Duration: Sep 3 2014Sep 6 2014

Publication series

NameIEEE International Ultrasonics Symposium, IUS
ISSN (Print)1948-5719
ISSN (Electronic)1948-5727


Other2014 IEEE International Ultrasonics Symposium, IUS 2014
Country/TerritoryUnited States

ASJC Scopus subject areas

  • Acoustics and Ultrasonics


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