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Improved FAST algorithm for non-uniform rotational distortion correction in OCT endoscopic imaging.

Guogang Cao, Sicheng Li, Shu Zhang

    Optics Express
    |February 14, 2023
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    This study introduces a new algorithm to correct Non-Uniform Rotational Distortion (NURD) in Optical Coherence Tomography (OCT) endoscopic images. The method improves image quality by reducing distortion propagation and enhancing vascular information.

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    Area of Science:

    • Medical Imaging
    • Biomedical Engineering
    • Optical Engineering

    Background:

    • Optical Coherence Tomography (OCT) is crucial for high-resolution endoscopic imaging of endoluminal organs.
    • Non-Uniform Rotational Distortion (NURD) significantly degrades OCT image quality, hindering accurate analysis.
    • Existing NURD correction methods, both hardware and software-based, have limitations including cost, complexity, and distortion propagation.

    Purpose of the Study:

    • To develop an effective algorithm-based method for correcting Non-Uniform Rotational Distortion (NURD) in OCT endoscopic imaging.
    • To improve the quality of Optical Coherence Tomography Angiography (OCTA) images by addressing NURD.
    • To mitigate the issue of NURD propagation inherent in traditional image registration techniques.

    Main Methods:

    • A novel two-stage image registration approach involving coarse and fine registration was implemented.
    • An improved Features from Accelerated Segment Test (FAST) algorithm was integrated into the registration process.
    • A-scans with potential NURD were filtered during coarse registration to generate a cleaner reference frame for fine registration.

    Main Results:

    • The proposed algorithm demonstrated superior performance in correcting NURD compared to SIFT, SURF, ORB, Cross-correlation, and Optical Flow methods.
    • Quantitative evaluation using SNR, PSNR, MSE, and SSIM indicated improved frame similarity and reduced noise.
    • The method effectively preserved crucial vascular information in OCT Angiography (OCTA) data.

    Conclusions:

    • The developed image registration algorithm significantly reduces NURD propagation in OCT endoscopic images.
    • This approach enhances the overall imaging quality of OCT endoscopic procedures.
    • The findings offer a promising solution for obtaining clearer and more reliable OCTA images for clinical applications.