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  3. Microbubble Track-based Functional Ultrasound Localization Microscopy In Awake Mice.
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  3. Microbubble Track-based Functional Ultrasound Localization Microscopy In Awake Mice.

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Microbubble Track-based Functional Ultrasound Localization Microscopy in Awake Mice.

Yike Wang, Matthew R Lowerison, Zhe Huang

    IEEE Transactions on Medical Imaging
    |June 17, 2026

    View abstract on PubMed

    Summary
    This summary is machine-generated.

    This study introduces a new microbubble track-based method to improve functional ultrasound localization microscopy (fULM) sensitivity for rodent brain imaging. This technique enhances neural activity detection while maintaining high spatial resolution, significantly reducing acquisition time.

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    Published on: December 22, 2020

    Area of Science:

    • Neuroimaging
    • Ultrasound technology
    • Neuroscience

    Background:

    • Functional neuroimaging in rodents faces a trade-off between sensitivity and spatial resolution.
    • Conventional functional ultrasound (fUS) offers high sensitivity but limited resolution.
    • Functional ultrasound localization microscopy (fULM) provides super-resolution but lower sensitivity.

    Purpose of the Study:

    • To develop a novel method to enhance the functional imaging sensitivity of fULM.
    • To overcome the compromise between sensitivity and spatial resolution in rodent brain imaging.
    • To enable faster and more sensitive neural activity detection using fULM.

    Main Methods:

    • Developed a microbubble (MB) track-based hemodynamic activity estimation method.
    • Utilized functional correlation analysis on entire MB movement tracks, not just centroids.
  • Implemented fULM imaging in awake mice using indwelling jugular vein catheters.

    • Main Results:

    • Successfully enhanced fULM functional imaging sensitivity without sacrificing spatial resolution.
    • Demonstrated significantly faster detection of activated brain regions (under 5 stimulation cycles).
    • Reduced required acquisition time by over 50% compared to conventional fULM.

    Conclusions:

    • The novel MB track-based method significantly improves fULM sensitivity and efficiency.
    • This technique offers a powerful tool for studying neural activity in awake rodents.
    • The approach accelerates neuroimaging, enabling quicker insights into brain function.