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Improved Robustness of Ultrasound Speckle Decorrelation-Based Wall Shear Rate Estimation Using Incoherent Multi-Angle

Omar Gachouch¹, Dae Woo Park¹

¹Division of Convergence Technology, Research Institute and Hospital, National Cancer Center, Goyang, South Korea.

Ultrasound in Medicine & Biology

|July 15, 2026

Summary

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Incoherent multi-angle compounding improves ultrasound-based wall shear rate (WSR) estimation by reducing noise and variability. This enhanced method offers more accurate and stable WSR measurements for cardiovascular disease assessment.

Area of Science:

Biomedical Ultrasound
Cardiovascular Hemodynamics
Medical Imaging

Background:

Accurate vascular wall shear rate (WSR) estimation is crucial for diagnosing cardiovascular diseases.
Ultrasound speckle decorrelation (SDC) estimates WSR but is susceptible to noise and clutter.
Existing methods struggle with accuracy and stability near the vessel wall.

Purpose of the Study:

To investigate incoherent multi-angle plane-wave (PW) compounding for robust SDC-based WSR estimation.
To enhance the accuracy and stability of WSR measurements using ultrasound.
To reduce noise and spatial variability in WSR estimation.

Main Methods:

Incoherent averaging of SDC measurements from multiple ultrasound angles.
Utilizing plane-wave (PW) compounding to improve signal-to-noise ratio and decorrelation preservation.

Keywords:

Blood flow Compounding Speckle decorrelation Ultrasound Wall shear rate

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Validation through simulations, in vitro flow experiments, and in vivo human brachial artery imaging.

Main Results:

Incoherent compounding (IC) yielded smoother velocity profiles and more consistent WSR estimates compared to single PW imaging.
Reduced normalized root-mean-square error in simulations and in vitro experiments.
Decreased spatial variability and improved WSR distribution smoothness in vivo.

Conclusions:

Incoherent multi-angle compounding significantly enhances the robustness of SDC-based WSR estimation.
The proposed method improves accuracy and stability for hemodynamic assessments.
This technique holds promise for better cardiovascular disease diagnosis and monitoring.