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    Area of Science:

    • Medical Imaging
    • Physics

    Background:

    • Ring artifacts are common in X-ray computed tomography (CT) scans.
    • These artifacts arise from errors in detector response.
    • Existing methods may not fully address these image quality issues.

    Purpose of the Study:

    • To present a novel pixel-specific, measurement-driven correction method.
    • To effectively reduce ring artifacts in X-ray CT images.
    • To improve overall image quality for both absorption and phase contrast imaging.

    Main Methods:

    • Implemented a pixel-specific correction based on measurement data.
    • Applied the correction to X-ray CT datasets.
    • Validated the method using monochromatic X-ray sources.

    Main Results:

    • Significantly suppressed common CT artifacts, specifically ring artifacts.
    • Achieved post-correction signal-to-noise ratio increases of up to 55%.
    • Demonstrated effectiveness for both absorption and phase contrast imaging.

    Conclusions:

    • The presented correction is easy to implement and highly effective.
    • It can be used independently or combined with other artifact removal techniques.
    • The method offers a significant improvement in X-ray CT image quality and artifact suppression.