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Related Experiment Video

Updated: Feb 2, 2026

Pore-scale Imaging and Characterization of Hydrocarbon Reservoir Rock Wettability at Subsurface Conditions Using X-ray Microtomography
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Quantitative subsurface imaging in strongly scattering media.

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    This study introduces a novel imaging technique for detecting subsurface structures in scattering materials. The method uses time-resolved backscattered light and a two-stage algorithm for accurate quantitative imaging.

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    Area of Science:

    • Optical imaging
    • Scattering media analysis
    • Biophotonics

    Background:

    • Imaging near-surface inhomogeneities in scattering media is challenging.
    • Traditional methods struggle with quantitative accuracy.
    • Time-resolved backscattered light offers potential for improved imaging.

    Purpose of the Study:

    • To develop a quantitatively accurate imaging method for near-surface obstacles in strongly scattering media.
    • To utilize time-resolved backscattered light measurements.
    • To leverage diffusion and Born approximations for model simplification.

    Main Methods:

    • Employed time-resolved measurements of backscattered light.
    • Utilized asymptotic solution of the radiative transfer equation and diffusion approximation.
    • Applied Born approximation for linearization.
    • Implemented a two-stage imaging algorithm: MUSIC for localization and least-squares for quantification.

    Main Results:

    • The two-stage algorithm successfully reconstructs images of near-surface inhomogeneities.
    • The method is effective for 1D imaging along penetration depth at null source-detector separations.
    • Quantitative accuracy is achieved for obstacles near the surface.

    Conclusions:

    • The developed method provides quantitatively accurate images of small, near-surface obstacles in scattering media.
    • The two-stage imaging approach, combining MUSIC and least-squares, is effective.
    • The technique is limited to shallow penetration depths and boundary measurement distances relative to the scattering mean-free path.