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Fast multiple-scattering holographic tomography based on the wave propagation method.

Damian Suski, Julianna Winnik, Tomasz Kozacki

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    This study introduces a faster holographic tomography reconstruction method using wave propagation modeling. The new technique significantly speeds up computations for multiple scattering analysis.

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    Area of Science:

    • Computational imaging
    • Wave physics
    • Tomographic reconstruction

    Background:

    • Holographic tomography is crucial for 3D imaging but computationally intensive.
    • Accounting for multiple scattering is essential for accurate tomographic reconstruction.
    • Existing methods face challenges with computational efficiency.

    Purpose of the Study:

    • To develop a time-efficient computation scheme for holographic tomography.
    • To improve reconstruction accuracy by incorporating multiple scattering.
    • To accelerate gradient calculations in the optimization process.

    Main Methods:

    • Developed a novel computation scheme for holographic tomography.
    • Applied a forward model based on the wave propagation method (WPM).
    • Utilized adjoint equations for efficient gradient computation in optimization.

    Main Results:

    • Achieved a time-efficient computation scheme for holographic tomography.
    • The method effectively accounts for multiple scattering effects.
    • Demonstrated a 114-fold speed-up in computations compared to the original method.

    Conclusions:

    • The proposed method offers significant computational advantages for holographic tomography.
    • This advancement enables faster and more accurate 3D imaging with multiple scattering.
    • The general scheme is adaptable to various iterative forward models.