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Edge illumination X-ray phase tomography of multi-material samples using a single-image phase retrieval algorithm.

Anna Zamir, Paul C Diemoz, Fabio A Vittoria

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    This study introduces a new single-image algorithm for multi-material X-ray phase contrast imaging. It accurately retrieves material interfaces using edge illumination, enabling detailed composite imaging of complex samples.

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    Area of Science:

    • Medical Imaging
    • Materials Science
    • Physics

    Background:

    • X-ray phase contrast imaging offers enhanced sensitivity for material differentiation.
    • Edge illumination (EI) is a powerful technique for X-ray phase contrast imaging.
    • Retrieving phase information from multi-material samples remains a challenge.

    Purpose of the Study:

    • To develop and validate a single-image phase retrieval algorithm for multi-material samples using EI X-ray imaging.
    • To enable accurate material interface reconstruction.
    • To demonstrate the creation of composite computed tomography (CT) slices.

    Main Methods:

    • Theoretical derivation of a single-image phase retrieval algorithm for EI.
    • Quantitative evaluation using simulated and experimental data from CT scans.
    • Application to a biological sample with bone and soft tissue.

    Main Results:

    • The algorithm accurately retrieves the interface between material pairs using a single EI image and refractive index knowledge.
    • Quantitative evaluation confirmed the algorithm's accuracy.
    • Qualitative results demonstrated successful imaging of biological tissues.

    Conclusions:

    • The developed algorithm provides accurate phase retrieval for multi-material samples in EI X-ray imaging.
    • This method facilitates the creation of composite CT slices by combining reconstructions of different material pairs.
    • The technique shows promise for detailed analysis of complex biological and material structures.