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    Illuminating system for determining the topography of the cornea of an eye
    12.
    发明授权
    Illuminating system for determining the topography of the cornea of an eye 有权

    公开(公告)号：US11759105B2

    公开(公告)日：2023-09-19

    申请号：US16330077

    申请日：2017-08-31

    Applicant: Carl Zeiss Meditec AG

    Inventor： Beate Böhme ,  Rico Fuchs ,  Günter Rudolph ,  Michael Güntzschel ,  Jörg Meissner ,  Thomas Mohr ,  Daniel Bublitz

    IPC: A61B3/107 ,  A61B3/00 ,  G01B11/25

    CPC classification number: A61B3/107 ,  A61B3/0008 ,  G01B11/25

    Abstract: An illumination system for producing a spatially distributed illumination pattern for measuring the cornea of an eye and, in particular, for determining the topography of the eye. In so doing, the system facilitates distance-independent measurements. The illumination system includes an illumination unit, an optical element for collimating the illumination light and a unit for producing a spatially distributed illumination pattern in the form of a fraxicon. In particular, the illumination unit includes a plurality of illumination modules which are arranged such that each illumination module illuminates part of the fraxicon, and consequently a full-area illumination is facilitated. The system for producing a spatially distributed illumination pattern serves to determine the topography of the cornea of an eye. Here, the system is designed as a compact module, and so it can be easily combined with other measurement systems, without interfering with the beam paths thereof.

    REFLECTION BASED CORNEAL TOPOGRAPHY SYSTEM USING PRISMS FOR IMPROVED ACCURACY AND METHOD OF USE
    15.
    发明公开
    REFLECTION BASED CORNEAL TOPOGRAPHY SYSTEM USING PRISMS FOR IMPROVED ACCURACY AND METHOD OF USE 审中-公开

    公开(公告)号：US20230255475A1

    公开(公告)日：2023-08-17

    申请号：US18012380

    申请日：2021-07-05

    Applicant: Paul Phillip VAN SAARLOOS

    Inventor： Paul Phillip VAN SAARLOOS

    IPC: A61B3/107 ,  A61B3/15

    CPC classification number: A61B3/107 ,  A61B3/152

    Abstract: Provided herein is a corneal topography system (218) that utilizes a prism placed in optical alignment between the pattern generator (201), such as a Placido disk, and the eye. The corneal topography system may be a prismatic triangulating corneal topography system that utilizes light rays of angle θ at the edge of the prism not passing through the prism (202), and using the deviation of the light rays passing through the prism at that edge to calculate angle θ. With angle α calculated from the reflected image on the image sensor (209) intersecting with the light ray from the pattern generator (201) at angle θ at the reflection point on the corneal surface (207). This provides both the position and slope of the corneal surface (207) at that point. Also provided is a method for mapping a corneal surface of an eye of a subject utilizing an optical prism (202) to produce a reflection image from a corneal surface reflection point (206) on the corneal surface (207) of the eye.

    Method and vision testing system for testing the eyes
    16.
    发明授权
    Method and vision testing system for testing the eyes 有权

    公开(公告)号：US11723533B2

    公开(公告)日：2023-08-15

    申请号：US16809818

    申请日：2020-03-05

    Applicant: OCULUS OPTIKGERAETE GMBH

    Inventor： Andreas Steinmueller

    IPC: A61B3/10 ,  A61B3/13 ,  A61B3/107 ,  A61B3/103

    CPC classification number: A61B3/102 ,  A61B3/103 ,  A61B3/1005 ,  A61B3/107 ,  A61B3/13

    Abstract: A method for testing the eyes of a test person with the aid of a vision testing system as well as to a vision testing system, comprising a first measuring device, a second topographic measuring device, a third refractive measuring device and a processing means, a central axial length (LZ) and a peripheral axial length (LP) of an eye of the test person being measured with the aid of said first measuring device, a curvature of the cornea of the eye being measured with the aid of said second measuring device, a refractive property of the eye being measured with the aid of said third measuring device, measurement data of the measurements of the first, second and third measuring device being processed with the aid of said processing means, said processing means outputting the measurement data.

    OPTICAL SURFACE IDENTIFICATION FOR LASER EYE SURGERY
    17.
    发明公开
    OPTICAL SURFACE IDENTIFICATION FOR LASER EYE SURGERY 审中-公开

    公开(公告)号：US20230201038A1

    公开(公告)日：2023-06-29

    申请号：US18145010

    申请日：2022-12-21

    Applicant: AMO Development, LLC

    Inventor： Javier Gonzalez ,  Bruce Woodley

    IPC: A61F9/008 ,  A61B3/117 ,  A61B3/107 ,  A61B3/10

    CPC classification number: A61F9/00825 ,  A61B3/117 ,  A61B3/107 ,  A61B3/102 ,  A61F9/008 ,  A61B5/0066

    Abstract: Systems and methods automatically locate optical surfaces of an eye and automatically generate surface models of the optical surfaces. A method includes OCT scanning of an eye. Returning portions of a sample beam are processed to locate a point on the optical surface and first locations on the optical surface within a first radial distance of the point. A first surface model of the optical surface is generated based on the location of the point and the first locations. Returning portions of the sample beam are processed so as to detect second locations on the optical surface beyond the first radial distance and within a second radial distance from the point. A second surface model of the optical surface is generated based on the location of the point on the optical surface and the first and second locations on the optical surface.

    SYSTEMS AND METHODS FOR VITREOUS DISEASE SEVERITY MEASUREMENT
    19.
    发明公开
    SYSTEMS AND METHODS FOR VITREOUS DISEASE SEVERITY MEASUREMENT 审中-公开

    公开(公告)号：US20230157811A1

    公开(公告)日：2023-05-25

    申请号：US18054424

    申请日：2022-11-10

    Applicant: Alcon Inc.

    Inventor： Paul R. Hallen

    IPC: A61F2/16 ,  A61B3/10 ,  A61B3/107

    CPC classification number: A61F2/16 ,  A61B3/1005 ,  A61B3/102 ,  A61B3/107

    Abstract: Certain aspects presented herein provide systems and methods utilizing one or more machine learning models in determining a severity of vitreous disease, and in particular, vitreous opacities. Such machine learning models are trained based on historical patient data to determine the severity of vitreous opacities afflicting a current patient. The severity determination may thereafter be utilized to inform treatment decisions for the current patient, including patient suitability for certain types of treatment.

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