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Multimodal Study of Murine Cardiovascular Remodeling: Four-Dimensional Ultrasound and Mass Spectrometry Imaging
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Nondestructive Ultrasound Molecular Imaging With Higher Order Singular Value Decomposition.

Gonzalo Collado-Lara, Geraldi Wahyulaksana, Hendrik J Vos

    IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
    |June 11, 2025
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    Summary

    A new non-destructive ultrasound molecular imaging (UMI) method uses higher-order singular value decomposition (HOSVD) to rapidly distinguish bound microbubbles (MBs) from free MBs and tissue, improving biomarker detection.

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    Area of Science:

    • Biomedical Engineering
    • Medical Imaging
    • Ultrasound Technology

    Background:

    • Ultrasound molecular imaging (UMI) relies on targeted microbubbles (MBs) to detect biomarkers.
    • Distinguishing bound MBs from free MBs and tissue is crucial for accurate UMI.
    • Current methods like differential Targeted Enhancement (DTE) are time-intensive and destructive.

    Purpose of the Study:

    • Introduce a novel, rapid, and non-destructive UMI technique.
    • Utilize higher-order singular value decomposition (HOSVD) for signal separation.
    • Develop a method to accurately identify bound MBs for improved biomarker detection.

    Main Methods:

    • HOSVD decomposes acoustic contrast sequences based on nonlinear content and temporal coherence.
    • Nonlinear separation distinguishes tissue from MBs; temporal separation differentiates free from bound MBs.
    • A bound MB indicator (χ) was defined from HOSVD output.

    Main Results:

    • HOSVD effectively separated signals, enabling distinction between free, bound MBs, and tissue.
    • The bound MB indicator (χ) showed significantly higher values for bound MBs compared to free MBs and tissue.
    • The HOSVD method demonstrated superior molecular signal enhancement (12 dB) and improved true/false positive detection rates compared to other non-destructive techniques.

    Conclusions:

    • HOSVD offers a rapid, non-destructive approach for UMI.
    • This technique enhances the accuracy and efficiency of biomarker detection using targeted MBs.
    • HOSVD has the potential to advance the clinical application of UMI.