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Proceedings Paper

New clutter-rejection algorithm for Doppler ultrasound
Author(s): Guy Cloutier; Danmin Chen; Louis-Gilles Durand
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Paper Abstract

Several strategies, known as clutter or wall Doppler filtering, were proposed to remove the strong echoes produced by stationary or slow moving tissue structures from the Doppler blood flow signal. In this study, the matching pursuit (MP) method is proposed to remove clutter components. The MP method decomposes the Doppler signal into wavelet atoms that are selected in a decreasing energy order. Thus, the high-energy clutter components are extracted first. In the present study, the pulsatile Doppler signal s(n) was simulated by a sum of random-phase sinusoids. Two types of high-amplitude clutter signals were then superimposed on s(n): a time-varying low frequency component (type 1), covering systole and early diastole, and short transient clutter signals (type 2), distributed within the whole cardiac cycle. The Doppler signals were modeled with the MP method and the most dominant atoms were subtracted until the signal-to-clutter (S/C) ratio reached a maximum. For the type 1 clutter signal, the improvement in the S/C ratio was 19.0 +/- 0.6 dB, and 72.0 +/- 4.5 atoms were required to reach this performance. For the transient type 2 clutter signal, exactly 10 atoms were required and the maximum improvement in S/C ratio was 5.5 +/- 0.5 dB. These results suggest the possibility of using this signal processing approach to implement clutter rejection filters on ultrasound commercial instruments.

Paper Details

Date Published: 11 April 2002
PDF: 9 pages
Proc. SPIE 4687, Medical Imaging 2002: Ultrasonic Imaging and Signal Processing, (11 April 2002); doi: 10.1117/12.462157
Show Author Affiliations
Guy Cloutier, Univ. of Montreal Hospital and Univ. of Montreal (Canada)
Danmin Chen, Clinical Research Institute of Montreal (Canada)
Louis-Gilles Durand, Clinical Research Institute of Montreal (Canada)

Published in SPIE Proceedings Vol. 4687:
Medical Imaging 2002: Ultrasonic Imaging and Signal Processing
Michael F. Insana; William F. Walker, Editor(s)

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