A Sparse regularization approach for ultrafast ultrasound imaging

Rafael E Carrillo, Adrien Besson, Miaomiao Zhang, Denis Friboulet, Yves Wiaux, Jean-Philippe Thiran, Olivier Bernard

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

10 Citations (Scopus)


Ultrafast imaging based on plane-wave (PW) insonification is an active area of research due to its capability of reaching high frame rates. Several approaches have been proposed either based on either of Fourier-domain reconstruction or on delay-and-sum (DAS) reconstruction. Using a single PW, these techniques achieve low quality, in terms of resolution and contrast, compared to the classic DAS method with focused beams. To overcome this drawback, compounding of several steered PWs is needed, which currently decreases the high frame rate limit that could be reached by such techniques. Based on a compressed sensing (CS) framework, we propose a new method that allows the reconstruction of high quality ultrasound (US) images from only 1 PW at the expense of augmenting the computational complexity at the reconstruction.

Original languageEnglish
Title of host publication2015 IEEE International Ultrasonics Symposium Proceedings
Number of pages4
ISBN (Electronic)9781479981823
Publication statusPublished - 2015
EventIEEE International Ultrasonics Symposium 2015 - Taipei International Convention Center, Taipei, Taiwan, Province of China
Duration: 21 Oct 201524 Oct 2015

Publication series

NameIEEE International Ultrasonics Symposium
ISSN (Print)1948-5719


ConferenceIEEE International Ultrasonics Symposium 2015
Abbreviated titleIUS 2015
Country/TerritoryTaiwan, Province of China


  • Plane wave
  • Fourier imaging
  • Ultrafast imaging
  • Sparsity
  • Compressed sensing


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