Concurrent Clutter and Noise Suppression via Low Rank Plus Sparse Optimization for Non-Contrast Ultrasound Flow Doppler Processing in Microvasculature

Mahdi Bayat, Mostafa Fatemi

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

8 Scopus citations

Abstract

A low rank plus sparse framework for concurrent clutter and noise suppression in Doppler processing of echo ensembles obtained by non-contrast ultrasound imaging is presented. A low rank component which represents mostly strong tissue clutter signal and a sparse component which represents mostly blood echoes received from slow flows in microvasculature are assumed. The proposed method is applied to simulated data and its superior performance over conventional singular value thresholding in removing clutter and background noise is presented.

Original languageEnglish (US)
Title of host publication2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1080-1084
Number of pages5
Volume2018-April
ISBN (Print)9781538646588
DOIs
StatePublished - Sep 10 2018
Externally publishedYes
Event2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Calgary, Canada
Duration: Apr 15 2018Apr 20 2018

Other

Other2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018
CountryCanada
CityCalgary
Period4/15/184/20/18

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Keywords

  • Low rank plus sparse
  • Microvasculature
  • Slow flow
  • Tissue motion
  • Ultrasound Doppler

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

Cite this

Bayat, M., & Fatemi, M. (2018). Concurrent Clutter and Noise Suppression via Low Rank Plus Sparse Optimization for Non-Contrast Ultrasound Flow Doppler Processing in Microvasculature. In 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Proceedings (Vol. 2018-April, pp. 1080-1084). [8461638] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICASSP.2018.8461638