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Proceedings Paper

An ideal observer approach to beamforming
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Paper Abstract

Many signal processing issues in ultrasonic imaging can be viewed as attempts to focus signal energy while preserving the diagnostic information they contain. We have been developing a task-based ideal-observer approach to signal processing with the goal of better understanding the factors that influence the transfer of diagnostic information and improving signal processing algorithms for optimal transfer. We treat the scattering medium as a Gaussian random field with non-uniform variance that encodes the properties necessary for accurate task performance. Using measured pointspread functions for a given system we propagate the scattering statistics through to various stages of the acquisition process along with acquisition noise. In this work we focus on the role of beamforming in this process. We consider the efficiency of information transfer by analyzing the ideal observer acting on individual receive elements and then considering different strategies for preserving diagnostic information in beamformed echo signals. Optimal beamforming strategies suggested by the analysis are approximated by applying spatial filtering techniques to fixedfocus echo data. These results are compared with a standard delay-and-sum beamformer.

Paper Details

Date Published: 10 March 2008
PDF: 8 pages
Proc. SPIE 6920, Medical Imaging 2008: Ultrasonic Imaging and Signal Processing, 692006 (10 March 2008); doi: 10.1117/12.772776
Show Author Affiliations
Craig K. Abbey, Univ. of California, Santa Barbara (United States)
Univ. of California, Davis (United States)
Nghia Nguyen, Beckman Institute for Advanced Science and Technology, Univ. of Illinois at Urbana-Champaign (United States)
Michael F. Insana, Beckman Institute for Advanced Science and Technology, Univ. of Illinois at Urbana-Champaign (United States)


Published in SPIE Proceedings Vol. 6920:
Medical Imaging 2008: Ultrasonic Imaging and Signal Processing
Stephen A. McAleavey; Jan D'hooge, Editor(s)

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