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    Area of Science:

    • Medical Imaging
    • Pulmonology
    • Biophysics

    Background:

    • X-ray dark-field imaging excels at visualizing lung alveoli due to strong signals.
    • Current time-resolved (4D) dark-field imaging is limited by multi-exposure requirements and motion artifacts.

    Purpose of the Study:

    • To develop and demonstrate the first in vivo 4D X-ray dark-field lung imaging in mice.
    • To assess the potential of this technique for functional lung imaging and disease assessment.

    Main Methods:

    • A single-exposure, grid-based X-ray dark-field imaging approach was synchronized with the respiratory cycle.
    • Data acquisition was optimized for minimal motion-blurring and reduced overall scan time.
    • Imaging was performed on control mice and mouse models of muco-obstructive disease and lung cancer.

    Main Results:

    • Successfully achieved in vivo 4D X-ray dark-field lung imaging in mice.
    • Demonstrated that 4D dark-field signals provide complementary tomographic information beyond conventional CT.
    • Observed and quantified changes in alveolar size and lung expansion during the breath cycle across different lung conditions.

    Conclusions:

    • This technique enables functional lung imaging by quantifying alveolar changes.
    • It offers insights into global and regional lung conditions affecting alveolar size and expansion.
    • The method holds promise for assessing lung health and disease progression in preclinical models.