Apparatus, system, and method for determining intraocular eye pressure
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Publication Number
US-12161417-B2
Publication Date
2024-12-10
Expiration Date
Abstract
Provided is a system for measuring and assessing intra-ocular pressure (IOP). The system comprises a processor, a memory, a camera, and instructions written on the memory. The instructions when executed by the processor may cause the system to: capture an image of a user's eye; convert the image to a three-dimensional image; analyze the three-dimensional image; and calculate an IOP measurement.
Core Innovation
The invention provides a system for measuring and assessing intra-ocular pressure (IOP) on an electronic device. The system includes a processor, a memory with non-transitory computer readable storage medium, and a camera, and computer-readable instructions cause the system to capture one or more images of a user's eye, convert each of the one or more images to one or more three-dimensional images, analyze the one or more three-dimensional images, and calculate an IOP measurement.
The invention defines a geometric 2D-to-3D conversion workflow that supports the IOP calculation. The instructions determine first and second retinal positions for multiple points, calculate a difference in retinal position, and derive a depth value from camera origin coordinates and point projections, with the depth value computed from a quotient of the camera distance and the difference in retinal position. The three-dimensional images are created based on the computed depth value.
For the IOP calculation, the invention uses corneal geometric parameters derived from each three-dimensional image. The instructions determine a geometrical center of the corneal projection and calculate X and Y from first and second camera origin coordinates. An intermediate value Y2 is calculated from horizontal corneal diameter (D_H), vertical corneal diameter (D_V), and X2 using an equation, and the IOP measurement is calculated as a function of Y2.
The document further describes calibration and quality assessment actions during measurement. It includes displaying an eye zone during calibration, comparing a subsequent IOP measurement to a baseline IOP, and alerting the user when the subsequent IOP measurement differs from the baseline IOP by a pre-determined variance. Alerts are also issued when calibration is unsuccessful or when capture conditions do not satisfy the required criteria.
Claims Coverage
The partial document provides two independent claims: a system claim and a method claim, each covering an electronic device workflow that captures eye images, converts them to one or more three-dimensional images, analyzes the three-dimensional images, and calculates an IOP measurement. Across the cited dependent claims, six inventive features add multi-point camera geometry, depth-related computation, corneal-parameter-based computation of an intermediate value used as a function for the IOP measurement, calibration display, and variance-based follow-up alerting.
Image capture and three-dimensional conversion for IOP measurement
Capture one or more images of a user's eye; convert each of the one or more images to one or more three-dimensional images; analyze the one or more three-dimensional images; calculate an IOP measurement.
Multi-point camera geometry using camera origin coordinates and camera distance
Select multiple points on a user's eye; determine for each point first camera origin coordinate and second camera origin coordinate and corresponding point projections; calculate a camera distance defined as the distance between the first camera origin coordinate and the second camera origin coordinate.
Retinal-position differencing to derive a depth value for creating three-dimensional images
Determine first and second retinal positions for multiple points; calculate a difference in retinal position; calculate a depth value from camera origin coordinates and point projections using a proportional relationship based on a quotient of the camera distance and the difference in retinal position; create the one or more three-dimensional images.
Corneal-diameter-based computation using an intermediate value Y2 as a function for the IOP measurement
Determine corneal projection diameters and a geometrical center from each three-dimensional image; compute X and Y from first and second camera origin coordinates; calculate Y2 using an equation based on horizontal corneal diameter (D_H), vertical corneal diameter (D_V), and X2; use Y2 as a function to produce an IOP measurement.
Calibration with an eye zone displayed to the user
Include an eye zone displayed to the user during camera calibration.
Variance-based alerting using baseline IOP and subsequent IOP measurement
Alert the user when a subsequent IOP measurement differs from the baseline IOP by a pre-determined variance.
Overall, the claim coverage centers on converting captured eye images into one or more three-dimensional images and analyzing them to calculate an IOP measurement, with dependent claim refinements focused on multi-point camera geometry, retinal-position difference and depth-value computation for 3D creation, corneal-diameter-based computation of Y2 used as a function for the IOP measurement, calibration display, and variance-based alerting in follow-up assessment.
Stated Advantages
Not explicitly described in patent.
Documented Applications
Not explicitly described in patent.
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