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    Dual under-sampling (DUS) enhances optical coherence tomography (OCT) imaging by reducing data size and extending depth range. This method de-aliases images and allows precise depth measurement, benefiting biomedical and industrial applications.

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    Area of Science:

    • Biomedical Optics
    • Medical Imaging Technology
    • Signal Processing

    Background:

    • Optical Coherence Tomography (OCT) is a vital imaging modality.
    • Spectral under-sampling in OCT reduces data size but introduces aliasing artifacts.
    • Existing methods struggle with aliasing and limited depth range.

    Purpose of the Study:

    • To introduce a Dual Under-Sampling (DUS) method for de-aliased OCT imaging.
    • To extend the imaging depth range of OCT.
    • To reduce data acquisition size for OCT.

    Main Methods:

    • Developed a Dual Under-Sampling (DUS) technique utilizing altered sampling frequencies.
    • Applied DUS to acquire interference spectra with reduced data points.
    • Implemented a strategy to distinguish true images from aliasing artifacts based on sampling frequency shifts.

    Main Results:

    • Achieved de-aliased OCT imaging with an extended depth range of 24 mm.
    • Reduced data size to 37% of conventional methods.
    • Enabled precise and unambiguous depth measurements within the extended range.

    Conclusions:

    • DUS effectively overcomes aliasing artifacts in spectral under-sampled OCT.
    • The method significantly extends imaging depth and reduces data size.
    • DUS offers a promising approach for faster OCT acquisition in diverse applications.