The present application relates to a method of acquiring a side image for analyzing the degree of ocular proptosis. According to an embodiment, an image acquisition method is provided which is including: acquiring a front image of the subject's face while guidance is

Oven to satisfy a first photographing condition; generating panorama guidance on the basis of position information of a first point and a second point extracted from the front image; providing guidance on movement of a photographing device to acquire a preview image corresponding to the panorama guidance; and acquiring a side image of the subject's face while guidance is given to satisfy a second photographing condition. The first captured image shows iris areas of the subject, and the second captured image shows an outer canthus and a cornea of one of the subject's eyes.

A simple diagnosis assisting device (10) for keratoconus and/or astigmatism, including a mobile terminal (10A) including a camera (2) and a transceiver function (3), and integrally or separately provided with a light source (1) for simultaneously projecting ring light onto both eyes. The light source (1) emits the ring light upon being attached to the mobile terminal (10A) in a case of being separately provided to the mobile terminal (10A), and emits the ring light from the mobile terminal (10A) in a case of being integrally provided to the mobile terminal (10A). The camera (2) simultaneously captures a projected image of both eyes onto which the ring light is projected. The ring light may be multiplex ring light or simplex ring light, and is configured in a ring shape by a plurality of point light sources or is configured in a ring shape by a single linear light source.

A simple diagnosis assisting device (10) for keratoconus and/or astigmatism, including a mobile terminal (10A) including a camera (2) and a transceiver function (3), and integrally or separately provided with a light source (1) for simultaneously projecting ring light onto both eyes. The light source (1) emits the ring light upon being attached to the mobile terminal (10A) in a case of being separately provided to the mobile terminal (10A), and emits the ring light from the mobile terminal (10A) in a case of being integrally provided to the mobile terminal (10A). The camera (2) simultaneously captures a projected image of both eyes onto which the ring light is projected. The ring light may be multiplex ring light or simplex ring light, and is configured in a ring shape by a plurality of point light sources or is configured in a ring shape by a single linear light source.

An ophthalmic apparatus includes an objective lens arranged to be passed through by first and second measurement optical axes that are positioned at a distance from each other. An OCT optical system performs OCT on a subject's left eye arranged on the first measurement optical axis or a subject's right eye arranged on the second measurement optical axis. An optical axis adjusting unit adjusts an optical axis of the OCT optical system under control of a controller so that the optical axis approximately coincides with any one of the first measurement optical axis and the second measurement optical axis. An intraocular parameter calculator calculates an intraocular parameter of the subject's left or right eye based on a detection result of interference light acquired in a state where the optical axis of the OCT optical system approximately coincides with the first or second measurement optical axis.

An ophthalmic apparatus includes an objective lens arranged to be passed through by first and second measurement optical axes that are positioned at a distance from each other. An OCT optical system performs OCT on a subject's left eye arranged on the first measurement optical axis or a subject's right eye arranged on the second measurement optical axis. An optical axis adjusting unit adjusts an optical axis of the OCT optical system under control of a controller so that the optical axis approximately coincides with any one of the first measurement optical axis and the second measurement optical axis. An intraocular parameter calculator calculates an intraocular parameter of the subject's left or right eye based on a detection result of interference light acquired in a state where the optical axis of the OCT optical system approximately coincides with the first or second measurement optical axis.

Provided herein are systems and methods to measure the intraocular pressure, ocular tissue geometry and the biomechanical properties of an ocular tissue, such as an eye-globe or cornea, in one instrument. The system is an optical coherence tomography subsystem and an applanation tonometer subsystem housed as one instrument and interfaced with a computer for at least data processing and image display. The system utilizes an air-puff and a focused micro air-pulse to induce deformation and applanation and displacement in the ocular tissue. Pressure profiles of the air puff with applanation times are utilized to measure intraocular pressure. Temporal profiles of displacement and/or spatio-temporal profiles of a displacement-generated elastic wave are analyzed to calculate biomechanical properties.

A display system can include a head-mounted display configured to project light to an eye of a user to display virtual image content at different amounts of divergence and collimation. The display system can include an inward-facing imaging system possibly comprising a plurality of cameras that image the user's eye and glints for thereon and processing electronics that are in communication with the inward-facing imaging system and that are configured to obtain an estimate of a center of cornea of the user's eye using data derived from the glint images. The display system may use spherical and aspheric cornea models to estimate a location of the corneal center of the user's eye.

A method to perform automatic corneal topography or tomography difference mapping includes receiving one or more corneal topography or tomography data files and/or a corneal image for an examined patient from a corneal topography or tomography system; receiving personal identification parameters from captured user personal data communicated from the corneal topography or tomography system; and comparing received patient identification parameters to existing patient identification parameters in a database to identify if there are existing topography or tomography data files for a same patient in the database. The method may further include retrieving a prior topography or tomography data file for the patient from the database; and performing difference mapping by comparing the received topography or tomography data files to the prior topography or tomography data file retrieved from the database to generate a topography or tomography difference map.

A method to perform automatic corneal topography or tomography difference mapping includes receiving one or more corneal topography or tomography data files and/or a corneal image for an examined patient from a corneal topography or tomography system; receiving personal identification parameters from captured user personal data communicated from the corneal topography or tomography system; and comparing received patient identification parameters to existing patient identification parameters in a database to identify if there are existing topography or tomography data files for a same patient in the database. The method may further include retrieving a prior topography or tomography data file for the patient from the database; and performing difference mapping by comparing the received topography or tomography data files to the prior topography or tomography data file retrieved from the database to generate a topography or tomography difference map.

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.