Low complexity 3D ultrasound imaging using synthetic aperture sequential beamforming

Jian Zhou, Siyuan Wei, Richard Sampson, Ming Yang, Rungroj Jintamethasawat, Oliver D. Kripfgans, J. Brian Fowlkes, Thomas F. Wenisch, Chaitali Chakrabarti

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

2 Scopus citations

Abstract

Synthetic aperture sequential beamforming (SASB) is a technique to achieve range-independent resolution in 2D images with lower computational complexity compared to synthetic aperture ultrasound (SAU). It is a two stage process, wherein the first stage performs fixed-focus beamforming followed by dynamic-focus beamforming in the second stage. In this work, we extend SASB to 3D imaging and propose two schemes to reduce its complexity: (1) reducing the number of elements in both transmit and receive and (2) implementing separable beamforming in the second stage. Our Field-II simulations demonstrate that reducing transmit and receive apertures to 32×32 and 16×16 elements, respectively, and using separable beamforming reduces 3D SASB computational complexity by 15× compared to the 64×64 aperture case with almost no loss in image quality. We also describe a hardware architecture for 3D SASB that performs first-stage beamforming in the scan head, reducing the amount of data that must be transferred for offchip processing in the second stage beamformer by up to 256×. We describe an implementation approach for the second stage that performs an optimized in-place update for both steps of separable beamforming and is well suited for GPU.

Original languageEnglish (US)
Title of host publicationProceedings - IEEE International Workshop on Signal Processing Systems, SiPS 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages33-38
Number of pages6
ISBN (Electronic)9781509033614
DOIs
StatePublished - Dec 9 2016
Event2016 IEEE International Workshop on Signal Processing Systems, SiPS 2016 - Dallas, United States
Duration: Oct 26 2016Oct 28 2016

Other

Other2016 IEEE International Workshop on Signal Processing Systems, SiPS 2016
CountryUnited States
CityDallas
Period10/26/1610/28/16

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Signal Processing
  • Applied Mathematics
  • Hardware and Architecture

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  • Cite this

    Zhou, J., Wei, S., Sampson, R., Yang, M., Jintamethasawat, R., Kripfgans, O. D., Fowlkes, J. B., Wenisch, T. F., & Chakrabarti, C. (2016). Low complexity 3D ultrasound imaging using synthetic aperture sequential beamforming. In Proceedings - IEEE International Workshop on Signal Processing Systems, SiPS 2016 (pp. 33-38). [7780068] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SiPS.2016.14