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Post-processing method for the removal of mixed ring artifacts in CT images.

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    This study introduces a novel post-processing method to effectively remove both intensity-dependent and time-dependent ring artifacts in CT images. The technique transforms images to polar coordinates, isolates artifacts, and iteratively refines the CT image quality.

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    Area of Science:

    • Medical Imaging
    • Image Processing
    • Computational Science

    Background:

    • Ring artifacts degrade Computed Tomography (CT) image quality.
    • Existing methods often fail to address both intensity-dependent and time-dependent artifacts.

    Purpose of the Study:

    • To propose a general post-processing method for effectively removing both intensity-dependent and time-dependent ring artifacts.
    • To enhance the overall quality of CT images.

    Main Methods:

    • Transforming raw CT images to polar coordinates to visualize artifacts as stripes.
    • Separating structure and texture components to isolate artifactual stripes.
    • Extracting stripe artifacts using mean extraction and texture classification.
    • Iteratively refining CT images by subtracting extracted artifacts.

    Main Results:

    • Demonstrated effective removal of both intensity-dependent and time-dependent ring artifacts.
    • Preserved crucial image details and spatial resolution during artifact correction.
    • Validated effectiveness on both simulated and real CT data.

    Conclusions:

    • The proposed method offers a robust solution for ring artifact reduction in CT imaging.
    • The technique is adaptable and effective for advanced CT systems, including photon counting CT.