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    This study introduces a novel network for stitching optical coherence tomography angiography (OCTA) scans, improving the analysis of retinal vascular diseases by creating high-resolution, wide-field images.

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    Area of Science:

    • Ophthalmology
    • Medical Imaging
    • Computer Vision

    Background:

    • Optical coherence tomography angiography (OCTA) is vital for analyzing retinal vascular diseases.
    • Limited field of view (FOV) in OCTA restricts analysis of large retinal areas.
    • Existing stitching algorithms struggle with OCTA image noise, artifacts, and dense vasculature.

    Purpose of the Study:

    • To develop a novel deep learning network for accurate stitching of OCTA images.
    • To overcome limitations of current stitching methods for enhanced retinal imaging.
    • To enable high-resolution, wide-field OCTA analysis for better disease assessment.

    Main Methods:

    • Proposed a novel retinal OCTA image stitching network integrating multi-scale representation learning and dynamic location guidance.
    • Implemented an image registration network with progressive multi-resolution feature fusion.
    • Introduced a dynamic guidance strategy for foveal avascular zone (FAZ) localization and registration error constraint.
    • Developed an image fusion network utilizing multiple mask constraints and adjacent image aggregation (AIA) for artifact elimination.

    Main Results:

    • The proposed network effectively addresses challenges like noise, artifacts, and dense vasculature in OCTA images.
    • Achieved precise vessel alignment and artifact elimination in overlapping regions.
    • Demonstrated superior performance compared to existing image stitching methods.
    • Generated high-quality wide-field OCTA images with high structural similarity index (SSIM) scores (0.8264 and 0.8014).

    Conclusions:

    • The novel OCTA stitching network provides a promising solution for extending the field of view in OCTA imaging.
    • Enables precise alignment and fusion of adjacent OCTA scans, leading to high-quality wide-field images.
    • Facilitates more comprehensive analysis of retinal vascular diseases by allowing examination of larger retinal regions.