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    This study introduces a new iterative algorithm for grating-based phase contrast computed tomography (GPCCT) using interlaced scanning. The method significantly reduces scanning time and radiation dose while minimizing motion artifacts for better clinical imaging.

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    Area of Science:

    • Medical Imaging
    • Computational Imaging
    • X-ray Tomography

    Background:

    • Grating-based phase contrast computed tomography (GPCCT) offers enhanced soft-tissue contrast but requires long scanning times, limiting clinical use due to radiation dose concerns.
    • Traditional phase stepping (PS) methods in GPCCT are time-consuming, and existing interlaced scanning techniques are constrained by reconstruction algorithm demands.
    • Reducing projection numbers further is challenging without compromising image quality or increasing motion artifacts.

    Purpose of the Study:

    • To develop an advanced iterative algorithm for GPCCT utilizing interlaced phase stepping (PS) scanning.
    • To reduce scanning time and radiation dose while maintaining or improving image quality.
    • To mitigate motion artifacts effectively during the reconstruction process.

    Main Methods:

    • Proposed an iterative algorithm specifically designed for interlaced PS scanning in GPCCT.
    • Incorporated techniques such as changing the virtual rotation center and merging high-resolution regions.
    • The reconstruction process involves three key steps: interlaced data acquisition, phase retrieval, and inner focus iterative reconstruction.

    Main Results:

    • The developed iterative algorithm successfully reconstructs GPCCT data acquired with interlaced PS scanning.
    • The method demonstrates capability in reducing motion artifacts, comparable to previously proposed inner focus (IF) methods.
    • Reconstructed images exhibit reduced boundary blurring, achieved through optimized reconstruction strategies and fast scan speeds.

    Conclusions:

    • The proposed iterative algorithm enables fast GPCCT scanning with reduced radiation dose.
    • It effectively addresses motion artifacts and image blurring, paving the way for clinical applications.
    • This advancement holds promise for improving the practicality and diagnostic value of GPCCT.