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Optical Scatter Microscopy Based on Two-Dimensional Gabor Filters
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Compressed sensing two-dimensional Bragg scatter imaging.

James W Webber, Eric L Miller

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    This summary is machine-generated.

    We developed a new reconstruction technique for 2D Bragg scattering tomography (BST) to reduce artifacts. This method improves imaging for applications like airport security screening and threat detection.

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    Area of Science:

    • Medical Imaging
    • Computational Physics
    • Applied Mathematics

    Background:

    • Two-dimensional Bragg scattering tomography (BST) is an imaging technique.
    • Existing reconstruction methods suffer from artifacts, limiting their practical application.
    • Artifacts arise from sinogram space cutoffs and model approximations.

    Purpose of the Study:

    • Introduce a novel reconstruction technique for 2D Bragg scattering tomography (BST).
    • Address and regularize artifacts in BST reconstructions.
    • Enhance the accuracy and reliability of BST imaging.

    Main Methods:

    • Utilize Radon transform models from Webber and Miller.
    • Employ concepts from multibang control and microlocal analysis.
    • Develop an objective function for artifact regularization.

    Main Results:

    • Successfully regularized boundary artifacts caused by sinogram space cutoffs.
    • Mitigated artifacts stemming from approximations in the inversion model.
    • Validated the algorithm using Monte Carlo simulations.

    Conclusions:

    • The new reconstruction technique significantly improves BST imaging quality.
    • The method shows promise for practical applications in security and threat detection.
    • The developed Monte Carlo code accurately simulates BST data, including scatter and attenuation.