Sparse emission pattern in spectral blood Doppler

Regev Cohen, Yonina C. Eldar

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

Abstract

Spectral Doppler ultrasound imaging allows quantification of blood flow by estimating the velocity distribution of the blood within a range gate on a single image line. In applications, it is desirable to have both brightness mode (B-mode) at high frame rate, to allow the medical doctor to visualize and follow vessel movement, as well as Doppler mode with high spectral resolution of the velocity distribution, so that changes in blood flow can be tracked. In this paper, we propose a slow-time sparse emission pattern of the blood Doppler signal which significantly reduces the number of transmissions sent. For the proposed sampling scheme, we derive the minimal number of Doppler emissions allowing reconstruction of the signal's power spectrum and provide power spectrum recovery techniques that achieve this minimal rate. Using realistic Field II simulations, we show that accurate estimation of blood velocity spectrum can be performed from only 12% of the transmissions required in conventional scanning. Thus, several vessel regions may be investigated while keeping a high frame rate of the B-mode images.

Original languageEnglish
Title of host publication2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017)
Pages907-910
Number of pages4
ISBN (Electronic)9781509011711
DOIs
StatePublished - 19 Jun 2017
Event14th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Melbourne, Australia
Duration: 18 Apr 201721 Apr 2017

Publication series

NameProceedings - International Symposium on Biomedical Imaging
ISSN (Print)1945-7928

Conference

Conference14th IEEE International Symposium on Biomedical Imaging
Abbreviated titleISBI
Country/TerritoryAustralia
CityMelbourne
Period18/04/1721/04/17

Keywords

  • Blood Doppler
  • Blood Velocity Estimation
  • Nested Arrays
  • Spectral Estimation
  • Ultrasound

All Science Journal Classification (ASJC) codes

  • Radiology Nuclear Medicine and imaging
  • Biomedical Engineering

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