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Proceedings Paper

Adaptive clutter rejection for ultrasound color Doppler imaging
Author(s): Yang Mo Yoo; Ravi Managuli; Yongmin Kim
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Paper Abstract

We have developed a new adaptive clutter rejection technique where an optimum clutter filter is dynamically selected according to the varying clutter characteristics in ultrasound color Doppler imaging. The selection criteria have been established based on the underlying clutter characteristics (i.e., the maximum instantaneous clutter velocity and the clutter power) and the properties of various candidate clutter filters (e.g., projection-initialized infinite impulse response and polynomial regression). We obtained an average improvement of 3.97 dB and 3.27 dB in flow signal-to-clutter-ratio (SCR) compared to the conventional and down-mixing methods, respectively. These preliminary results indicate that the proposed adaptive clutter rejection method could improve the sensitivity and accuracy in flow velocity estimation for ultrasound color Doppler imaging. For a 192 x 256 color Doppler image with an ensemble size of 10, the proposed method takes only 57.2 ms, which is less than the acquisition time. Thus, the proposed method could be implemented in modern ultrasound systems, while providing improved clutter rejection and more accurate velocity estimation in real time.

Paper Details

Date Published: 12 April 2005
PDF: 9 pages
Proc. SPIE 5750, Medical Imaging 2005: Ultrasonic Imaging and Signal Processing, (12 April 2005); doi: 10.1117/12.596104
Show Author Affiliations
Yang Mo Yoo, Univ. of Washington (United States)
Ravi Managuli, Univ. of Washington (United States)
Hitachi Medical Systems America (United States)
Yongmin Kim, Univ. of Washington (United States)


Published in SPIE Proceedings Vol. 5750:
Medical Imaging 2005: Ultrasonic Imaging and Signal Processing
William F. Walker; Stanislav Y. Emelianov, Editor(s)

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