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Related Experiment Video

Updated: Jul 12, 2025

Dynamic Pore-scale Reservoir-condition Imaging of Reaction in Carbonates Using Synchrotron Fast Tomography
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Structure-aware guided filtering for a ring artifact correction in synchrotron x-ray microtomography.

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    This study introduces a guided image filtering method to correct ring artifacts in synchrotron-based x-ray microtomography (S-µCT) imaging. The technique enhances image quality and reduces noise, improving S-µCT applications.

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    Area of Science:

    • Imaging Science
    • Materials Science
    • Physics

    Background:

    • Synchrotron-based x-ray microtomography (S-µCT) offers high-resolution 3D imaging.
    • Ring artifacts are a common issue in S-µCT, degrading image quality.
    • Effective artifact correction is crucial for reliable S-µCT data interpretation.

    Purpose of the Study:

    • To develop and evaluate a novel ring artifact correction method for S-µCT.
    • To improve the image quality of S-µCT by addressing artifactual degradations.
    • To explore the potential of the proposed method for broader S-µCT applications.

    Main Methods:

    • A ring artifact correction method based on guided image filtering (GIF) was developed.
    • Structural priors were extracted from S-µCT images to guide artifact correction.
    • Guided image filtering with self-guidance was used for further image enhancement.

    Main Results:

    • The proposed GIF-based method effectively corrected ring artifacts in S-µCT images.
    • The method demonstrated simultaneous low-dose noise suppression.
    • Sparse-view artifact reduction was also observed as a beneficial outcome.

    Conclusions:

    • The developed guided image filtering method is a robust solution for S-µCT ring artifact correction.
    • This technique has the potential to significantly enhance the utility and applicability of S-µCT.
    • Further research can leverage this method for advanced imaging applications requiring high-fidelity 3D reconstructions.