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Updated: Jun 18, 2026
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Blood Flow Imaging with Ultrafast Doppler
Published on: October 14, 2020
Adaptive clutter rejection for ultrasound color flow imaging based on recursive eigendecomposition.
1Dept. of Electron. Eng., Fudan Univ., Shanghai, China.
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
|November 28, 2009
Summary
This study introduces a new recursive algorithm for ultrasound clutter rejection, improving accuracy in color flow imaging. The method enhances velocity profile estimation and reduces artifacts in real-world applications.
Area of Science:
- Medical Imaging
- Ultrasound Technology
- Signal Processing
Background:
- Conventional eigenfilters for ultrasound clutter rejection assume statistical stationarity.
- Varying clutter movement with depth reduces the efficiency of traditional methods.
Purpose of the Study:
- To propose a novel clutter rejection method for ultrasound color flow imaging.
- To address the limitations of conventional eigenfilters in handling non-stationary clutter.
Main Methods:
- A recursive eigendecomposition algorithm is employed.
- Clutter subspace is constructed using current and previous eigenvector matrices.
- Estimated clutter is subtracted from the original input, iterated along depth with a forgetting factor.
Main Results:
- The proposed method achieved the most accurate velocity profiles in simulated data.
- It introduced the fewest velocity artifacts in the tissue region of in vivo data.
- Demonstrated superior performance compared to other popular clutter filters.
Conclusions:
- The recursive eigendecomposition method offers improved clutter rejection in ultrasound imaging.
- This technique enhances the accuracy of velocity profile estimation.
- It effectively reduces artifacts in both simulated and real-world ultrasound data.
