New clutter-rejection algorithm for Doppler ultrasound

Guy Cloutier; Danmin Chen; Louis-Gilles Durand

doi:10.1117/12.462157

11 April 2002 New clutter-rejection algorithm for Doppler ultrasound

Guy Cloutier, Danmin Chen, Louis-Gilles Durand

Proceedings Volume 4687, Medical Imaging 2002: Ultrasonic Imaging and Signal Processing; (2002) https://doi.org/10.1117/12.462157
Event: Medical Imaging 2002, 2002, San Diego, California, United States

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.

Citation Download Citation

Guy Cloutier, Danmin Chen, and Louis-Gilles Durand "New clutter-rejection algorithm for Doppler ultrasound", Proc. SPIE 4687, Medical Imaging 2002: Ultrasonic Imaging and Signal Processing, (11 April 2002); https://doi.org/10.1117/12.462157

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KEYWORDS

Chemical species

Doppler effect

Ultrasonography

Filtering (signal processing)

Electronic filtering

Signal detection

Time-frequency analysis

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