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    Area of Science:

    • Medical Imaging
    • Physics
    • Engineering

    Background:

    • Ring artifacts in Computed Tomography (CT) are a common issue, particularly with photon-counting detectors (PCDs).
    • Traditional methods for artifact reduction involve hardware improvements or software corrections.
    • Detector autocalibration presents an alternative approach to mitigate these artifacts.

    Purpose of the Study:

    • To investigate a simplified autocalibration method requiring only two redundant acquisitions for PCDs.
    • To formulate and test this autocalibration technique as an optimization problem.

    Main Methods:

    • Developed an autocalibration method using two redundant samples of each line integral.
    • Formulated the calibration as an optimization problem to determine relative gain factors.
    • Tested the method on various phantoms and a chicken thigh specimen using a detector shift for demonstration.

    Main Results:

    • Significant reduction in ring artifacts was observed across tested samples.
    • Residual artifacts were minimal and comparable to intrinsic detector instability.
    • The autocalibration method proved effective in mitigating PCD-related ring artifacts.

    Conclusions:

    • Detector autocalibration offers a viable solution for reducing ring artifacts in photon-counting CT.
    • This technique could lower requirements for thermal management and detector stability.
    • Autocalibration may accelerate the clinical adoption of photon-counting CT technology.