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Image-based cross-calibration method for multiple spectrometer-based OCT.

Yusi Miao, Jun Song, Myeong Jin Ju

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    This study introduces a fast computational method using a signal correlation matrix for cross-calibrating multiple spectrometers in optical coherence tomography (OCT). This technique ensures accurate spectral matching for improved image quality.

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    Area of Science:

    • Optical Engineering
    • Biomedical Imaging
    • Spectroscopy

    Background:

    • Multiple-spectrometer optical coherence tomography (OCT) systems require precise calibration for accurate spectral data.
    • Existing calibration methods can be time-consuming or complex.

    Purpose of the Study:

    • To develop a fast and practical computational cross-calibration method for multiple-spectrometer OCT systems.
    • To enable accurate spectral matching for improved OCT and OCT angiography (OCTA) imaging.

    Main Methods:

    • Constructing a signal correlation matrix (CM) from paired B-scans in a multiple-spectrometer OCT setup.
    • Identifying wavelength-corresponding pixels via high cross-correlation within the CM.
    • Utilizing the CM for physical spectrometer alignment or numerical spectral post-processing.

    Main Results:

    • The CM effectively guides spectrometer alignment and enables numerical spectral matching.
    • Performance was comparable to previous optimization approaches.
    • Demonstrated through mirror tests and qualitative/quantitative image metric comparisons of OCT and OCTA images.

    Conclusions:

    • The proposed computational cross-calibration using a CM is a fast and practical approach for multi-spectrometer OCT.
    • This method enhances spectral accuracy, leading to improved image quality in OCT and OCTA.