Noise reduction in ophthalmic images

    公开(公告)号:US20250148577A1

    公开(公告)日:2025-05-08

    申请号:US18933696

    申请日:2024-10-31

    Applicant: Optos plc

    Abstract: A computer-implemented method of processing at least one image of a retina of an eye acquired by an ophthalmic imaging device, wherein the at least one image shows a texture of the retina. The method comprises processing a first image of the at least one image using a noise reduction algorithm based on machine learning to generate a de-noised image of the retina, wherein the texture of the retina shown in the first image is at least partially removed by the noise reduction algorithm to generate the de-noised image. The method further comprises combining a second image of the at least one image with the de-noised image to generate at least one hybrid image of the retina which shows more of the texture of the retina than the de-noised image.

    Determining levels of hypertension from retinal vasculature images

    公开(公告)号:US12224061B2

    公开(公告)日:2025-02-11

    申请号:US16837733

    申请日:2020-04-01

    Applicant: OPTOS PLC

    Abstract: A computer-implemented method, system, and computer-readable medium, for determining a level of hypertension of a person. Image data defining a retinal image of a retina of the person that has been captured by a retinal imaging system is acquired. Processing the image data is performed to identify a plurality of vessel segments present in the retinal image. Determining is performed of respective widths of vessel segments of at least a subset of the plurality of vessel segments present in the retinal image. Calculating, as a vascular summary metric, at least one average value or median value of the determined widths of the vessel segments present in the retinal image, is performed to determine a level of hypertension by which the person has been affected.

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