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    Area of Science:

    • Biomedical Optics
    • Medical Imaging Technology

    Background:

    • Three-dimensional (3D) optical coherence tomography (OCT) generates large datasets, increasing acquisition time.
    • Endoscopic OCT requires efficient data acquisition for in vivo applications.

    Purpose of the Study:

    • To apply sparse sampling and compressive sensing (CS) reconstruction to 3D endoscopic OCT.
    • To reduce the data volume and acquisition time for 3D OCT imaging.

    Main Methods:

    • Utilized a miniature side-imaging magnetic-driven scanning probe in a swept-source OCT system.
    • Acquired 2D circumferential cross-sectional images of ex vivo pigeon trachea.
    • Achieved 3D reconstruction by randomizing translation stage step sizes for sparse sampling.
    • Tested CS reconstruction with 40%, 60%, and 80% reduced 2D frame numbers.

    Main Results:

    • Demonstrated the feasibility of recovering reasonable OCT images using sparse sampling and CS reconstruction.
    • Showcased significant reduction in 3D OCT imaging data compared to conventional methods.
    • Validated the effectiveness of randomized step sizes for sparse sampling.

    Conclusions:

    • Sparse sampling combined with CS reconstruction is a viable strategy for 3D endoscopic OCT.
    • This approach offers a novel method for reducing data acquisition and time in 3D OCT.
    • Potential for improved efficiency in volumetric OCT imaging applications.