IP Library › Granted Patent US 11,561,413
Granted Patent B2
US 11,561,413 · App. 16/479,122 · Granted Jan 24, 2023

Population of an eye model using measurement data in order to optimize spectacle lenses

Inventors: Stephan Trumm (Munich, DE); Wolfgang Becken (Neuried, DE); Helmut Altheimer (Baisweil-Lauchdorf, DE); Adam Muschielok (Munich, DE); Yohann Bénard (Munich, DE); Gregor Esser (Munich, DE); Werner Mueller (Oetisheim, DE)
Assignee: Rodenstock GmbH
G02C7/027A61B3/0025A61B3/1005A61B3/107A61B3/117A61B3/1173G02C7/028G16H50/50
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 11,561,413
App. No.
16/479,122
Granted
Jan 24, 2023
Kind
B2
Abstract

A method, a device, and a corresponding computer program product for calculating (optimizing) and producing a spectacle lens with the aid of a semi-personalized eye model. In one approach, the method includes providing personalized refraction data of at least one eye of the spectacles wearer; establishing a personalized eye model in which at least the parameters: shape of an anterior corneal surface of a model eye; a cornea-lens distance; parameters of the lens of the model eye; and lens-retina distance are established using personalized measured values for the eye of the spectacles wearer, and/or using standard values, and/or using the provided personalized refraction data, such that the model eye has the provided personalized refraction data, wherein at least the establishment of the lens-retina distance takes place via calculation.

Claims (62)

1. A computer-implemented method for determining personalized parameters of at least one eye of a spectacles wearer, the method comprising:

providing personalized refraction data of the at least one eye of the spectacles wearer; and

establishing a personalized eye model in which at least:

a shape of an anterior corneal surface of a model eye;

a cornea to eye-lens distance;

parameters of the eye-lens of the model eye; and

an eye-lens to retina distance, are established degrees of freedom, which are established using (i) personalized measured values for the eye of the spectacles wearer, (ii) standard values, or (iii) the provided personalized refraction data, wherein the personalized eye model is established at least partly based on the provided personalized refraction data such that the model eye has the provided personalized refraction data, and

wherein at least the eye-lens to retina distance is established via calculation based on the provided personalized refraction data and one or more of the established degrees of freedom of the personalized eye model other than the eye-lens to retina distance.

2. The method according to claim 1 , wherein the establishing the shape of the anterior corneal surface of the eye takes place using personalized measurements at least in part along the principal section of the cornea of the at least one eye.

3. The method according to claim 1 , wherein the establishing the shape of the anterior corneal surface of the eye takes place using personalized measurements of the corneal topography of the at least one eye.

4. The method according to claim 1 , wherein the establishing the cornea to eye-lens distance takes place using personalized measured values for the cornea to eye-lens distance.

5. The method according to claim 1 , wherein the establishing the parameters of the eye-lens of the model eye comprises an establishment of the following parameters:

shape of the anterior eye-lens surface;

eye-lens thickness; and

shape of the posterior eye-lens surface.

6. The method according to claim 5 , wherein the establishing the eye-lens thickness and of the shape of the posterior eye-lens surface takes place using predetermined standard values, and the establishment of the shape of the anterior eye-lens surface comprises:

providing standard values for a mean curvature of the anterior eye-lens surface; and

calculating the shape of the anterior eye-lens surface at least partially based on the provided personalized refraction data.

7. The method according to claim 5 , wherein the establishing the shape of the anterior eye-lens surface comprises:

providing a personalized measured value of a curvature in a normal section of the anterior eye-lens surface.

8. The method according to claim 7 , wherein the establishing the eye-lens thickness and of the shape of the posterior eye-lens surface takes place using standard values, and the establishment of the anterior eye-lens surface comprises:

providing a personalized measured value of a curvature in a normal section of the anterior eye-lens surface; and

calculating the shape of the anterior eye-lens surface at least partially based on the provided personalized refraction data.

9. The method according to claim 1 , wherein the establishing the parameters of the eye-lens of the model eye includes establishing an optical effect of the eye-lens.

10. The method according to claim 1 , further comprising:

displaying the calculated eye-lens to retina distance.

11. The method according to claim 1 , further comprising:

determining an eye length of the model eye, at least partially based on the calculated eye-lens to retina distance; and

displaying the determined eye length.

12. A computer-implemented method, comprising:

a method for determining personalized parameters of the at least one eye of the spectacles wearer according to claim 1 ;

predetermining a shape of a first surface and a shape of second surface for the spectacles lens to be calculated or optimized;

determining the path of a principal ray through at least one visual point (i) of at least one surface of the spectacles lens into the model eye, which surface is to be calculated or optimized;

evaluating an aberration of a wavefront at an evaluation surface, said wavefront resulting along the primary ray from a spherical wavefront striking the first surface of the spectacles lens, in comparison to a wavefront converging at a point on the retina of the personalized eye model; and

iteratively varying the at least one surface to be calculated or optimized, until the evaluated aberration corresponds to a predetermined target aberration.

13. The method according to claim 12 , wherein the evaluation surface is situated between the eye-lens and the retina of the model eye.

14. The method according to claim 12 , wherein the evaluation surface is situated at the exit pupil of the model eye.

15. A system for determining personalized parameters of at least one eye of a spectacles wearer, comprising:

a data interface configured to provide personalized refraction data of the at least one eye of the spectacles wearer; and

a modeler configured to establish a personalized eye model which is established on at least:

a shape of an anterior corneal surface of a model eye;

a cornea to eye-lens distance;

parameters of the eye-lens of the model eye; and

an eye-lens to retina distance, are established degrees of freedom, which are established using (i) personalized measured values for the eye of the spectacles wearer, (ii) standard values, or (iii) the provided personalized refraction data,

wherein the personalized eye model is established at least partly based on the provided personalized refraction data such that the model eye has the provided personalized refraction data, and

wherein at least the eye-lens to retina distance is established via calculation based on the provided personalized refraction data and one or more of the established degrees of freedom of the personalized eye model other than the eye-lens to retina distance.

16. The system according to claim 15 , wherein the modeler is configured to determine an eye length of the model eye at least partially based on the calculated eye-lens to retina distance.

17. The system according to claim 16 , further comprising:

a display configured to display the calculated eye-lens to retina distance or the determined eye length.

18. The system according to claim 15 , wherein the personalized refraction data is measured by an aberrometer or the shape of the anterior corneal surface is measured by a topograph.

19. The system according to claim 15 , further comprising:

a surface model database configured to predetermine a shape of a first surface and a shape of a second surface for the spectacles lens to be calculated or optimized;

a principal ray determiner configured to determine the path of a principal ray through at least one visual point (i) of at least one surface of the spectacles lens into the model eye, which surface is to be calculated or optimized;

an evaluator configured to evaluate an aberration of a wavefront at an evaluation surface, said wavefront resulting along the principal ray from a spherical wavefront striking the first surface of the spectacles lens, in comparison to a wavefront converging at a point on the retina of the personalized eye model; and

an optimizer configured to iteratively vary the at least one surface of the spectacles lens, said surface to be calculated or optimized, until the evaluated aberration corresponds to a predetermined target aberration.

20. A non-transitory computer program product having program code that is designed to implement a method for determining personalized parameters of at least one eye of a spectacles wearer according to claim 1 , when loaded and executed on a computer.

21. A method for producing a spectacles lens, comprising:

calculating or optimizing a spectacles lens according to the method of claim 12 ; and

manufacturing the spectacles lens so calculated or optimized.

22. A system for producing a spectacles lens, comprising:

a calculator or optimizer configured to calculate or optimize a spectacles lens according to the method of claim 12 ; and

a machine configured to machine the spectacles lens according to the result of the calculation or optimization.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 18, 2019
From: TRUMM, STEPHAN; BECKEN, WOLFGANG; ALTHEIMER, HELMUT; MUSCHIELOK, ADAM; BÉNARD, YOHANN; ESSER, GREGOR; MUELLER, WERNER
To: RODENSTOCK GMBH
Reel/Frame 050419/0235 →
Priority Claims (3)
DE 102017000772.1 · Jan 27, 2017 · national
DE 102017007975.7 · Aug 23, 2017 · national
DE 102017007990.0 · Aug 23, 2017 · national
Continuity (1)
Related Publication 20200285071A1 · Sep 10, 2020