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Multiple Delay and Sum With Enveloping Beamforming Algorithm for Photoacoustic Imaging.

Xiang Ma, Chenglei Peng, Jie Yuan

    IEEE Transactions on Medical Imaging
    |December 14, 2019
    PubMed
    Summary
    This summary is machine-generated.

    Multiple Delay and Sum with Enveloping (multi-DASE) improves photoacoustic imaging (PAI) reconstruction by reducing artifacts common in Delay and Sum (DAS) beamforming. This new method enhances image quality for real-time clinical applications.

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    Area of Science:

    • Medical Imaging
    • Biomedical Engineering
    • Acoustics

    Background:

    • Delay and Sum (DAS) is a standard, rapid beamforming algorithm for photoacoustic imaging (PAI) reconstruction.
    • DAS can produce artifacts and high sidelobes due to summing unnecessary data, impacting image quality.

    Purpose of the Study:

    • Introduce the Multiple Delay and Sum with Enveloping (multi-DASE) algorithm to overcome DAS limitations.
    • Enhance artifact removal and image quality in PAI reconstruction.

    Main Methods:

    • Developed the multi-DASE algorithm, which calculates complete N-shaped photoacoustic signals per pixel.
    • Compared multi-DASE with other methods using simulations, phantom experiments, and human finger joint imaging.
    • Implemented GPU acceleration for multi-DASE to enable parallel computation.

    Main Results:

    • Multi-DASE effectively reduces artifacts compared to traditional DAS beamforming.
    • Evaluated image quality improvements across various experimental setups.
    • Demonstrated the feasibility of real-time PAI clinical applications with multi-DASE and GPU acceleration.

    Conclusions:

    • Multi-DASE offers superior artifact reduction and image reconstruction in PAI.
    • The algorithm's parallel processing capability via GPU acceleration supports real-time clinical use.
    • This advancement holds promise for improved diagnostic capabilities in PAI.