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A stroke engine has a slider-crank mechanism that converts rotational motion from the crank into linear motion of the slider or vice versa. This mechanism consists of three main parts: the crank, the connecting rod, and the slider.
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Relative Motion Analysis using Rotating Axes01:25

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Curvilinear Motion: Rectangular Components01:23

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A Novel Application of Musculoskeletal Ultrasound Imaging
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Tensor Velocity Imaging With Motion Correction.

Lasse Thurmann Jorgensen, Mikkel Schou, Matthias Bo Stuart

    IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
    |December 21, 2020
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    Summary
    This summary is machine-generated.

    This study introduces a motion compensation technique to enhance synthetic aperture tensor velocity accuracy in row-column arrays. The method significantly reduces bias and standard deviation in velocity estimates, improving diagnostic precision.

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    Area of Science:

    • Medical Imaging
    • Ultrasound Technology
    • Biomedical Engineering

    Background:

    • Accurate velocity estimation is crucial for ultrasound-based hemodynamic assessment.
    • Motion artifacts in ultrasound data can significantly degrade the accuracy of velocity measurements.
    • Existing methods for synthetic aperture tensor velocity estimation struggle with motion-induced errors.

    Purpose of the Study:

    • To develop and validate a novel motion compensation procedure for synthetic aperture tensor velocity estimation.
    • To improve the accuracy and reliability of velocity measurements obtained from row-column ultrasound arrays.
    • To reduce motion-related bias and variability in ultrasound-derived flow velocity data.

    Main Methods:

    • Implementation of a motion compensation scheme that adjusts image coordinates based on a estimated velocity field.
    • Estimation of the velocity field using a transverse oscillation cross-correlation estimator.
    • Upsampling of the velocity field via spline interpolation to determine local tensor velocities for motion compensation.

    Main Results:

    • Reduced relative bias from -27.0% to -9.4% and standard deviation from 8.6% to 8.1% for a peak velocity of 25 cm/s at 60° beam-to-flow angle.
    • Demonstrated significant bias reduction across various beam-to-flow angles (60°, 75°) and peak velocities (10–150 cm/s) in high pulse repetition frequency simulations.
    • Validation of the procedure using both Field II simulations and experimental flow measurements.

    Conclusions:

    • The proposed motion compensation procedure effectively mitigates motion artifacts in synthetic aperture tensor velocity estimation.
    • This technique offers a substantial improvement in the accuracy of ultrasound-based velocity measurements, particularly for row-column arrays.
    • The findings support the clinical utility of this method for enhanced quantitative flow assessment in medical ultrasound applications.