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    Dual-energy X-ray dark-field material decomposition enables distinguishing microstructures by analyzing energy-dependent scattering. This novel technique enhances material-specific information for improved clinical diagnosis.

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    Area of Science:

    • Medical Imaging
    • Materials Science
    • Physics

    Background:

    • Dual-energy imaging leverages distinct X-ray spectra for material-specific attenuation information, enhancing clinical diagnosis.
    • Grating-based X-ray dark-field imaging reveals microstructural information via ultra-small-angle scattering, surpassing conventional spatial resolution.
    • Current dark-field techniques struggle to differentiate various microstructures due to limited signal information.

    Purpose of the Study:

    • To introduce and develop dual-energy X-ray dark-field material decomposition.
    • To adapt material decomposition principles from attenuation-based dual-energy imaging to dark-field imaging.
    • To enable differentiation of distinct microstructures using energy-dependent dark-field signals.

    Main Methods:

    • Development of a physical model for dual-energy dark-field material decomposition.
    • Implementation of algorithms for processing dual-energy dark-field data.
    • Experimental validation of the proposed decomposition concept using dual X-ray spectra.

    Main Results:

    • Demonstration of successful decomposition into two distinct microstructured materials.
    • Validation of the concept through experimental measurements.
    • Confirmation that energy-dependent dark-field signal sampling is key to material differentiation.

    Conclusions:

    • Dual-energy X-ray dark-field material decomposition is a viable technique for microstructure analysis.
    • This method provides microstructure-specific information, complementing dual-energy imaging.
    • The technique holds potential for advancing clinical diagnosis through enhanced material characterization.