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Blood Flow Imaging with Ultrafast Doppler
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Clutter filtering influence on blood velocity estimation using speckle tracking.

Solveig Fadnes, Steinar Bjærum, Hans Torp

    IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
    |December 17, 2015
    PubMed
    Summary
    This summary is machine-generated.

    Blood speckle tracking offers angle-independent flow velocity estimates, overcoming limitations of color flow imaging. Advanced filters improve accuracy, especially with high ensemble sizes, but low flow velocities remain a challenge.

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    Area of Science:

    • Medical Imaging
    • Ultrasound Technology
    • Biomedical Engineering

    Background:

    • Color flow imaging (CFI) suffers from angle-dependency, limiting accurate blood flow velocity measurements.
    • Doppler-based clutter filtering in CFI attenuates velocities at near-perpendicular beam-to-flow angles.
    • Clutter filters degrade speckle appearance, reducing lateral resolution and tracking performance.

    Purpose of the Study:

    • To evaluate the potential of blood speckle tracking to overcome angle-dependency in ultrasound flow imaging.
    • To investigate the impact of clutter filtering on speckle tracking performance.
    • To explore the use of time-variant clutter filters for improved flow velocity estimation.

    Main Methods:

    • Simulations and flow phantom experiments were conducted.
    • Blood speckle tracking was compared with traditional color flow imaging.
    • Time-variant clutter filters, such as polynomial regression filters, were utilized.
    • Analysis focused on performance at various beam-to-flow angles and ensemble sizes (N).

    Main Results:

    • Speckle tracking provided consistent, angle-independent flow velocity estimates, even below the clutter filter cutoff.
    • Time-variant clutter filters significantly improved tracking results for higher ensemble sizes (N > 36).
    • Speckle tracking exhibited higher variance due to low signal-to-noise ratio from filter attenuation.
    • Perpendicular angles revealed lateral band-pass characteristics that could potentially enhance tracking.

    Conclusions:

    • Blood speckle tracking, particularly with high ensemble lengths (N > 36) and low f-number, offers angle-independent flow velocity estimation.
    • Time-variant clutter filters show promise for enhancing speckle tracking accuracy despite inherent decorrelation.
    • The primary limitation for speckle tracking is a lower bound on detectable flow velocity, not angle-dependency.