Frequency-based signal processing for ultrasound color flow imaging

Authors

  • Alfred C. H. Yu Institute of Biomaterials and Biomedical Engineering, University of Toronto, 164 College Street, Toronto, Ont. M5S 3G9, Canada
  • K. Wayne Johnston Institute of Biomaterials and Biomedical Engineering, University of Toronto, 164 College Street, Toronto, Ont. M5S 3G9, Canada
  • Richard S. C. Cobbold Institute of Biomaterials and Biomedical Engineering, University of Toronto, 164 College Street, Toronto, Ont. M5S 3G9, Canada

Keywords:

Clutter (information theory), Flow visualization, Polynomials, Problem solving, Regression analysis, Ultrasonic imaging, Acquired signals, Color flow imaging, Flow estimates, Ultrasound literature

Abstract

In ultrasound color flow imaging, the computation of flow estimates is well-recognized as a challenging problem from a signal processing perspective. The flow visualization performance of this imaging tool is often affected by error sources such as the lack of abundant signal samples available for processing, the presence of wideband clutter in the acquired signals, and the flow signal distortions that may arise during clutter suppression. In this article, we review existing frequency-based signal processing approaches reported in the ultrasound literature and evaluate their theoretical advantages as well as limitations. In particular, four major classes of clutter filter designs are considered: FIR/IIR filtering, polynomial regression, clutter-downmixing, and eigen-regression. Also, three types of frequency estimators are discussed: lag-one autocorrelation, autoregressive modeling, and MUSIC. In examining these approaches, it was concluded that eigen-based methods like the eigen-regression filter and the MUSIC estimator can better adapt to the Doppler signal characteristics, and thus they seem to have more potential for obtaining flow estimates that are less affected by the signal processing error sources.

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Published

2007-06-01

How to Cite

1.
Yu ACH, Johnston KW, Cobbold RSC. Frequency-based signal processing for ultrasound color flow imaging. Canadian Acoustics [Internet]. 2007 Jun. 1 [cited 2021 Dec. 4];35(2):11-23. Available from: https://jcaa.caa-aca.ca/index.php/jcaa/article/view/1874

Issue

Section

Technical Articles

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