Compressed delay-and-sum beamforming for ultrafast ultrasound imaging

Adrien Besson, Rafael E Carrillo, Olivier Bernard, Yves Wiaux, Jean-Philippe Thiran

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

16 Citations (Scopus)
76 Downloads (Pure)

Abstract

The theory of compressed sensing (CS) leverages upon structure of signals in order to reduce the number of samples needed to reconstruct a signal, compared to the Nyquist rate. Although CS approaches have been proposed for ultrasound (US) imaging with promising results, practical implementations are hard to achieve due to the impossibility to mimic random sampling on a US probe and to the high memory requirements of the measurement model. In this paper, we propose a CS framework for US imaging based on an easily implementable acquisition scheme and on a delay-and-sum measurement model.
Original languageEnglish
Title of host publication2016 IEEE International Conference on Image Processing (ICIP)
PublisherIEEE
Pages2509-2513
Number of pages5
ISBN (Print)9781467399616
DOIs
Publication statusPublished - 19 Aug 2016
Event23rd IEEE International Conference on Image Processing - Phoenix Convention Center, Phoenix, United States
Duration: 25 Sep 201628 Sep 2016

Conference

Conference23rd IEEE International Conference on Image Processing
Abbreviated titleICIP 2016
Country/TerritoryUnited States
CityPhoenix
Period25/09/1628/09/16

Fingerprint

Dive into the research topics of 'Compressed delay-and-sum beamforming for ultrafast ultrasound imaging'. Together they form a unique fingerprint.

Cite this