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In vivo Structural Assessments of Ocular Disease in Rodent Models using Optical Coherence Tomography
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Towards model-based adaptive optics optical coherence tomography.

Hans R G W Verstraete, Barry Cense, Rolf Bilderbeek

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    This study quantifies signal loss from optical wavefront aberrations in optical coherence tomography (OCT). A new model predicts and corrects these aberrations, improving OCT imaging quality.

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    Area of Science:

    • Optical Physics
    • Biomedical Imaging
    • Metrology

    Background:

    • Optical coherence tomography (OCT) is a powerful imaging technique.
    • Wavefront aberrations degrade OCT image quality and resolution.
    • Accurate modeling of aberrations is crucial for correction.

    Purpose of the Study:

    • To determine the transfer function for optical wavefront aberrations in single-mode fiber OCT.
    • To quantify signal loss caused by these aberrations.
    • To develop and validate a model for aberration correction.

    Main Methods:

    • Utilized Fresnel propagation and overlap integrals to model signal loss.
    • Developed distinct models for mirror and scattering media.
    • Validated models using an adaptive optics OCT setup.
    • Derived and verified a one-step defocus correction method.
    • Confirmed the transfer function's structure using a hill climbing algorithm.

    Main Results:

    • Quantified signal loss due to optical wavefront aberrations in OCT.
    • Validated predictive models against experimental data from mirrors and scattering media.
    • Demonstrated a successful one-step defocus correction technique.
    • Confirmed the pseudo-convex nature of the OCT transfer function.

    Conclusions:

    • The developed model accurately predicts signal loss from aberrations in OCT.
    • The model enables effective aberration correction, enhancing OCT imaging.
    • Implications for wavefront sensorless aberration correction strategies are significant.