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Correcting for sub-resolution tissue motion in localization optoacoustic tomography.

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    This study introduces a new method to correct motion in localization optoacoustic tomography (LOT) imaging. This technique improves particle tracking and blood flow velocity measurements in vivo.

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    Area of Science:

    • Biomedical Imaging
    • Optics and Photonics
    • Medical Physics

    Background:

    • Localization optoacoustic tomography (LOT) offers high spatial resolution in optoacoustic imaging, surpassing the acoustic diffraction limit.
    • LOT enables quantitative blood flow velocity measurements by tracking absorbing particles.
    • Physiological motion and inter-frame displacements significantly degrade LOT resolution and hinder accurate velocity quantification.

    Purpose of the Study:

    • To develop and validate a motion correction method for localization optoacoustic tomography (LOT).
    • To improve particle tracking and blood flow velocity measurements in the presence of physiological motion.
    • To enhance the robustness and accuracy of LOT for in vivo imaging applications.

    Main Methods:

    • A geometric-transformation-based approach using singular value decomposition (SVD) for frame alignment.
    • SVD clutter filter to separate static background (blood vessels) from dynamic flowing particles.
    • Motion estimation performed on the background sequence, followed by correction of the particle sequence.

    Main Results:

    • Successful alignment of motion-affected LOT frames to a reference frame.
    • Demonstrated improvement in particle tracking and localization accuracy post-motion correction.
    • Enhanced performance validated in phantom experiments and in vivo mouse brain LOT imaging.

    Conclusions:

    • The proposed geometric-transformation and SVD-based method effectively corrects for physiological motion in LOT.
    • This approach significantly enhances the reliability of blood flow velocity measurements using LOT.
    • The technique holds promise for improving high-resolution in vivo optoacoustic imaging.