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Equivalent-Source Acoustic Holography for Projecting Measured Ultrasound Fields Through Complex Media.

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    This study introduces a new method for creating equivalent interior sources from ultrasound measurements. This technique improves holographic projections in complex media using full-wave models.

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    Area of Science:

    • Acoustics and Wave Propagation
    • Computational Physics
    • Medical Imaging

    Background:

    • Traditional holographic projection methods (angular spectrum, Rayleigh integral) use measured data as boundary conditions.
    • Full-wave acoustic models often employ interior sources but struggle to directly incorporate experimental data.
    • Bridging the gap between experimental measurements and full-wave simulations is crucial for accurate modeling.

    Purpose of the Study:

    • To develop a method for generating equivalent interior sources from experimental ultrasound measurements.
    • To enable the use of these sources within full-wave models for enhanced holographic projections.
    • To accurately simulate wave propagation through complex, heterogeneous, and nonlinear media.

    Main Methods:

    • A gradient-based optimization approach is proposed to derive equivalent interior sources.
    • These sources are designed to reproduce experimental measurement data.
    • The generated sources are integrated with full-wave modeling tools (e.g., k-Wave) for simulation.

    Main Results:

    • The proposed method successfully generates equivalent interior sources that match measurement data.
    • Holographic projections computed using these sources in full-wave models show high accuracy.
    • Both time-domain and continuous-wave experimental data were validated, demonstrating robustness.

    Conclusions:

    • The developed equivalent interior source method accurately translates experimental ultrasound data for full-wave simulations.
    • This approach enhances the capability of full-wave models to perform holographic projections in complex acoustic environments.
    • The findings offer a significant advancement for ultrasound imaging and modeling applications.