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Multi Line Transmit Beamforming Combined With Adaptive Apodization.

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    Adaptive receive apodization improves cardiac imaging by reducing crosstalk artifacts in multi-line transmission (MLT) ultrasound. This method enhances spatial resolution, outperforming traditional techniques for clearer diagnostic imaging.

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    Area of Science:

    • Ultrasound imaging
    • Medical diagnostics
    • Biomedical engineering

    Background:

    • High frame rates are crucial for cardiac diagnostic imaging, enabling analysis of rapid cardiac events and quantitative measures like speckle tracking.
    • Multi-line transmission (MLT) ultrasound increases frame rates by transmitting multiple beams simultaneously, but can cause crosstalk artifacts.
    • Existing artifact reduction methods, like Tukey windowing, often degrade lateral resolution.

    Purpose of the Study:

    • To investigate adaptive receive apodization for improved artifact rejection and spatial resolution in MLT cardiac imaging.
    • To compare the performance of adaptive apodization against standard Tukey windowing and non-apodized single-line transmission (SLT).

    Main Methods:

    • An adaptive receive apodization strategy was developed and tested using a bank of apodization windows.
    • The method was evaluated on experimental MLT datasets, including wire phantoms, tissue-mimicking phantoms, and in vivo cardiac data.
    • Performance was assessed based on artifact rejection and spatial resolution metrics.

    Main Results:

    • Adaptive apodization significantly outperformed Tukey windowing alone in rejecting receive crosstalk artifacts.
    • The proposed method achieved superior spatial resolution compared to non-apodized SLT, as validated by wire phantom measurements.
    • The adaptive apodization technique is compatible with wider transmit beams used in multi-line acquisition.

    Conclusions:

    • Adaptive receive apodization offers a robust solution for mitigating crosstalk artifacts in MLT ultrasound.
    • This approach enhances both artifact rejection and spatial resolution, leading to improved cardiac diagnostic imaging quality.
    • The method provides a valuable advancement for high-frame-rate ultrasound applications in cardiology.