Translator Disclaimer
Paper
12 April 2005 Adaptive clutter rejection for ultrasound color Doppler imaging
Author Affiliations +
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.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yang Mo Yoo, Ravi Managuli, and Yongmin Kim "Adaptive clutter rejection for ultrasound color Doppler imaging", Proc. SPIE 5750, Medical Imaging 2005: Ultrasonic Imaging and Signal Processing, (12 April 2005); https://doi.org/10.1117/12.596104
PROCEEDINGS
9 PAGES


SHARE
Advertisement
Advertisement
RELATED CONTENT

Fixed-point analysis of stack filters
Proceedings of SPIE (July 01 1990)
Statistical analysis of median type and morphological filters
Proceedings of SPIE (November 01 1992)
Laser Doppler echo signal detection method
Proceedings of SPIE (May 20 2009)
Digital filter design for strain-flow imaging
Proceedings of SPIE (May 23 2003)

Back to Top