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Minimize flow-induced uncertainty in polarization sensitive optical coherence tomography imaging using eigen

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    Blood flow disrupts polarization measurements in optical coherence tomography. A new eigen decomposition method separates static and dynamic signals, enabling accurate polarization-sensitive optical coherence tomography (PSOCT) of underlying tissues, even with blood flow present.

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    Area of Science:

    • Biomedical Optics
    • Optical Coherence Tomography
    • Photonics

    Background:

    • Blood flow introduces instability in polarization measurements during polarization-sensitive optical coherence tomography (PSOCT).
    • This instability complicates the analysis of subsurface tissue properties.
    • Accurate polarization measurements are crucial for various biomedical applications.

    Purpose of the Study:

    • To develop a method to overcome polarization instability caused by blood flow in PSOCT.
    • To enable reliable polarization measurements of tissues beneath blood flow.
    • To validate the proposed method using phantoms and in vivo imaging.

    Main Methods:

    • An eigen decomposition method was proposed to separate static and dynamic scattering signals.
    • Flow phantoms using Intralipid solution and 3D-printed birefringent materials were utilized.
    • In vivo imaging of the human nail fold was performed to demonstrate the method's utility.

    Main Results:

    • The eigen decomposition method successfully separated static and dynamic scattering signals.
    • Flow-induced effects on optical axis, phase retardation, and degree of polarization uniformity were quantified.
    • The method provided stable polarization measurements in the presence of simulated blood flow.

    Conclusions:

    • The proposed eigen decomposition method effectively addresses polarization instability in PSOCT caused by blood flow.
    • This technique enhances the reliability of subsurface tissue polarization measurements.
    • The method shows promise for in vivo applications, as demonstrated in human nail fold imaging.