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Updated: Jul 17, 2026

Blood Flow Imaging with Ultrafast Doppler
Published on: October 14, 2020
An novel clutter rejection filters applied to wideband blood flow velocity estimation
Xiaotao Wang1, Yi Shen, Zhiyan Liu
1Dept. of Control Sci. & Eng., Harbin Inst. of Technol.
Insights
A new method improves color flow imaging for cardiovascular disease diagnosis by reducing clutter interference. This technique enhances blood flow velocity estimation, leading to better diagnostic accuracy.
Area of Science:
- Medical Imaging
- Biomedical Engineering
- Signal Processing
Background:
- Color flow imaging is crucial for diagnosing vascular and cardiovascular diseases.
- Image quality is degraded by clutter from stationary tissues and probe motion.
- Existing clutter filters limit mean frequency estimation range by suppressing slow blood flow signals.
Purpose of the Study:
- To propose a novel clutter rejection scheme for enhanced color flow imaging.
- To improve the accuracy of blood flow velocity estimation in the presence of clutter.
- To leverage two-dimensional information for superior clutter suppression.
Main Methods:
- Utilized parameter estimation based on the two-dimensional correlation function model (2DCM).
- Integrated conventional down mixing with 2DCM parameter estimation for clutter rejection.
- Estimated both center frequency and mean Doppler frequency using the proposed method.
Main Results:
- The novel adaptive scheme demonstrated superior performance in clutter rejection.
- Accurate wideband blood flow velocity estimation was achieved.
- Effective utilization of two-dimensional information within the range gate was confirmed.
Conclusions:
- The proposed 2DCM-based parameter estimation offers an effective solution for clutter rejection in color flow imaging.
- This method enhances diagnostic capabilities for vascular diseases, particularly cardiovascular conditions.
- The adaptive nature of the scheme ensures robust performance across various clinical scenarios.
Abstract:
Color flow imaging plays a major role in the diagnosis of many vascular diseases, especially cardiovascular disease. The imaging quality is highly influenced by the clutter originating from the vascular wall, stationary and slowly moving tissues and relative motion between the probe held by doctor and the blood flow. The clutter rejection filter in front of the mean frequency estimator will restrict the mean frequency estimation range because the power of the signal component induced by slowly moving blood is suppressed as well. Therefore, a novel scheme, using parameter estimation methods based on the two-dimensional correlation function model (2DCM) and the conventional down mixing, is proposed to clutter rejection. With the parameter estimation methods based on the 2DCM, both the center frequency and the mean Doppler frequency are estimated. The two dimensional information in range gate has been also sufficiently used. Simulation results have shown that this adaptive scheme has achieved superior performance in wideband blood flow velocity estimation.
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