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    This study introduces a new method for super-resolution ultrasound imaging that overcomes challenges from large tissue movements. It enables clearer imaging of microvasculature in moving organs, advancing clinical diagnostics.

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    Area of Science:

    • Medical Imaging
    • Biomedical Engineering
    • Ultrasound Technology

    Background:

    • Super-Resolution Ultrasound (SRUS) and Ultrasound Localisation Microscopy (ULM) offer sub-diffraction resolution for microvasculature imaging.
    • Large tissue movements, like respiration, pose significant challenges for current ULM techniques, limiting acquisition time and image quality.
    • Existing methods often necessitate breath-holding, which is impractical for extended imaging periods.

    Purpose of the Study:

    • To develop and validate an approach for high-quality ULM imaging in the presence of substantial organ motion.
    • To overcome the limitations of breath-holding requirements in current super-resolution ultrasound techniques.
    • To enable accurate microvasculature reconstruction in organs with significant physiological movement.

    Main Methods:

    • Integration of high-frame-rate ultrasound with precise, online robotic probe control.
    • Real-time tracking of a moving phantom simulating organ motion (up to 5 mm/s, 20 mm displacement).
    • Utilized a matrix array with twice the aperture size for enhanced imaging capabilities.

    Main Results:

    • Achieved real-time tracking of the moving phantom with an imaging volume rate of 85 Hz.
    • Maintained the majority of the target volume within the imaging field of view despite motion.
    • Successfully reconstructed ULM images of moving cross-channels in the phantom, demonstrating feasibility.

    Conclusions:

    • The developed method enables super-resolution ultrasound imaging under conditions of large tissue motion.
    • This approach is a significant advancement towards ULM imaging of organs affected by physiological movements.
    • The findings pave the way for improved diagnostic capabilities in challenging clinical scenarios.