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    XPCIpy is a new open-source Python software for X-ray phase-contrast imaging (PCI). It simulates and reconstructs images, improving visualization of low atomic number materials and reducing artifacts.

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    Area of Science:

    • Physics
    • Materials Science
    • Medical Imaging

    Background:

    • X-ray absorption imaging has limited contrast for low atomic number materials.
    • X-ray phase-contrast imaging (PCI) enhances visualization by utilizing phase shifts.
    • Extracting phase information from intensity data requires specialized techniques.

    Purpose of the Study:

    • Introduce XPCIpy, an open-source Python software for X-ray PCI.
    • Provide tools for simulating propagation-based imaging (PBI) and Talbot-Lau phase-contrast Imaging (TLPCI).
    • Enable reconstruction of TLPCI images and correction of artifacts.

    Main Methods:

    • Developed XPCIpy using Python with a modular architecture and GUI.
    • Implemented phase stepping method for image retrieval.
    • Included least-squares and FFT-based reconstruction algorithms with artifact correction.

    Main Results:

    • XPCIpy successfully simulates PBI and TLPCI.
    • Reconstruction algorithms effectively retrieve phase information.
    • Artifact correction algorithm mitigates Moiré patterns and other issues.
    • Validated through simulations and experimental data.

    Conclusions:

    • XPCIpy offers a versatile and accessible framework for X-ray PCI research.
    • The software aids in optimizing experimental setups and testing new algorithms.
    • XPCIpy serves as a valuable tool for the scientific community in X-ray imaging.