Compressive Multiplexing of Ultrasound Signals

Adrien Besson, Dimitris Perdios, Marcel Arditi, Yves Wiaux, Jean-Philippe Thiran

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

1 Citation (Scopus)
38 Downloads (Pure)

Abstract

High-quality 3D ultrasound (US) imaging requires dense matrix-array probes with thousands of elements and necessitates an unrealistic number of coaxial cables to connect such probes to back-end systems. To address this issue, many techniques have been developed such as sparse arrays, mechanical scanning, multiplexing and micro-beamforming, which permit to achieve 3D imaging with existing 2D imaging systems but with a degradation in image quality. We propose a novel multiplexing method which relies on compressed-sensing (CS) principles to significantly reduce the number of coaxial cables. We exploit the compressive multiplexer (CMUX) introduced for radio-frequency signals to multiplex US signals in the probe head. The CMUX considers a set of signals as inputs, modulates them with chipping sequences and sums them to form a single output. On the reconstruction side, we propose two methods: one solving a CS-based problem exploiting sparsity of US signals in a pulse-stream model (CS-PS) and another one solving a least-squares problem in the Fourier domain based on bandlimited signal properties of US signals. We demonstrate through simulations and in vivo experiments that the proposed techniques lead to high-quality reconstruction with significantly fewer coaxial cables, up to 12x less with CS-PS.

Original languageEnglish
Title of host publication2018 IEEE International Ultrasonics Symposium (IUS)
PublisherIEEE
ISBN (Electronic)9781538634257
DOIs
Publication statusPublished - 20 Dec 2018
Event2018 IEEE International Ultrasonics Symposium - Kobe, Japan
Duration: 22 Oct 201825 Oct 2018

Publication series

NameIEEE International Ultrasonics Symposium (IUS)
PublisherIEEE
ISSN (Electronic)1948-5727

Conference

Conference2018 IEEE International Ultrasonics Symposium
Abbreviated titleIUS 2018
CountryJapan
CityKobe
Period22/10/1825/10/18

Keywords

  • Compressed Sensing
  • multiplexing
  • ultrasound imaging

ASJC Scopus subject areas

  • Acoustics and Ultrasonics

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