A compressed beamforming framework for ultrafast ultrasound imaging

Adrien Besson, Rafael E Carrillo, Dimitris Perdios, Marcel Arditi, Olivier Bernard, Yves Wiaux, Jean-Philippe Thiran

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

1 Citation (Scopus)
95 Downloads (Pure)

Abstract

Classical beamforming methods, based on Delay- And-Sum (DAS) require an extensive number of samples and delay calculations to obtain high-quality images. Compressed Beamforming (CB) proposes an alternative to DAS, based on compressed sensing, which aims at reducing the data rate. However, proposed CB approaches induce a computationally heavy measurement model that hampers their attractiveness for iterative image reconstruction. In this paper, a CB framework, applicable to either radio-frequency or in-phase quadrature data and for both plane wave and diverging wave compounding, is described. The proposed framework exploits a computationally light measurement model which leads to tractable reconstruction. It solves a convex problem and assumes sparsity in a wavelet- based model to achieve high-quality image reconstruction from measurements acquired with only few transducer elements.
Original languageEnglish
Title of host publicationIUS Proceedings 2016
PublisherIEEE
Number of pages4
Publication statusPublished - 2016
Event2016 IEEE International Ultrasonics Symposium - VINCI Convention Center, Tours, France
Duration: 18 Sep 201621 Sep 2016

Conference

Conference2016 IEEE International Ultrasonics Symposium
Abbreviated titleIUS 2016
CountryFrance
CityTours
Period18/09/1621/09/16

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  • Cite this

    Besson, A., Carrillo, R. E., Perdios, D., Arditi, M., Bernard, O., Wiaux, Y., & Thiran, J-P. (2016). A compressed beamforming framework for ultrafast ultrasound imaging. In IUS Proceedings 2016 IEEE.