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High-speed Particle Image Velocimetry Near Surfaces

High-speed Particle Image Velocimetry Near Surfaces

Published on: June 24, 2013

Estimation of velocity vector angles using the directional cross-correlation method.

Jacob Kortbek¹, Jørgen Arendt Jensen

¹Orsted.DTU, Technical University of Denmark, Lyngby. jk@oersted.dtu.dk

IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control

|November 10, 2006

Summary

This study introduces a novel ultrasound method for precise velocity magnitude and angle measurement in any direction. The technique enhances accuracy in flow dynamics analysis, crucial for medical and industrial applications.

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Simultaneous Measurement of Turbulence and Particle Kinematics Using Flow Imaging Techniques

Simultaneous Measurement of Turbulence and Particle Kinematics Using Flow Imaging Techniques

Published on: March 12, 2019

Area of Science:

Medical Imaging
Ultrasound Technology
Fluid Dynamics

Background:

Accurate measurement of blood flow velocity and direction is critical in various applications, including medical diagnostics.
Existing ultrasound methods may face limitations in precisely determining velocity angles, especially in complex flow patterns.

Purpose of the Study:

To develop and validate a new ultrasound-based method for simultaneously determining both the magnitude and angle of velocity in any direction.
To assess the precision and reliability of this method using simulations and experimental data.

Main Methods:

The proposed method utilizes focused ultrasound transmission and cross-correlation for velocity magnitude estimation.
Directional beamforming and signal correlation are employed to determine the flow angle.
Validation performed using Field II simulations and experimental data from the RASMUS ultrasound scanner and a flow rig.

Main Results:

Simulations showed low relative standard deviations (0.7%–7.7%) for velocity magnitude at flow angles of 45–90 degrees.
Angle estimation using directional beamforming demonstrated high precision, with performance dependent on correlation time (ktprf x Tprf).
Experimental data yielded a high probability of valid angle estimates (68%–98%) for flow angles between 60 and 90 degrees.

Conclusions:

The developed ultrasound method accurately determines both velocity magnitude and angle in diverse directions.
Directional beamforming offers a precise approach for angle estimation, with optimal parameter selection enhancing performance.
The study confirms the potential of this method for advanced flow analysis in ultrasound applications.