Population of an eye model using measurement data in order to optimize spectacle lenses
US-2020285071-A1 · Sep 10, 2020 · US
US12298599B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-12298599-B2 |
| Application number | US-202017624008-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jul 1, 2020 |
| Priority date | Jul 2, 2019 |
| Publication date | May 13, 2025 |
| Grant date | May 13, 2025 |
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Optimizing a spectacle lens for a wearer of implanted intraocular lenses. The method includes providing individual refraction data on the at least one eye of the spectacle wearer; defining an individual eye model in which at least a shape and/or power of a cornea, in particular a corneal front surface, of a model eye, a cornea-lens distance, parameters of the lens of the model eye, and a lens-retina distance are defined as parameters of the individual eye model. Here, defining the parameters of the individual eye model takes place on the basis of data on visual acuity correction of the at least one eye having the intraocular lens and further on the basis of individual measurement values for the eye of the spectacle wearer and/or standard values and/or on the basis of the provided individual refraction data such that the model eye has the provided individual refraction data.
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The invention claimed is: 1. A computer-implemented method for identifying relevant individual parameters of at least one eye of a spectacle wearer for the calculation or optimization of a spectacle lens for the at least one eye of the spectacle wearer, wherein an intraocular lens was implanted in the at least one eye of the spectacle wearer as part of surgery, comprising: providing individual refraction data on the at least one eye of the spectacle wearer; defining an individual eye model in which at least: a shape and/or power of a corneal front surface of a model eye; a cornea-lens distance; parameters of the lens of the model eye; and a lens-retina distance are defined as parameters of the individual eye model, wherein defining the parameters of the individual eye model takes place on the basis of data on visual acuity correction of the at least one eye having the intraocular lens and further on the basis of individual measurement values for the eye of the spectacle wearer and/or standard values and/or on the basis of the provided individual refraction data such that the model eye has the provided individual refraction data; providing an initial distribution of parameters of the eye model and individual data on properties of the at least one eye; and determining the parameters of the individual eye model on the basis of the initial distribution of parameters of the eye model and the individual data using probability calculations. 2. The computer-implemented method according to claim 1 , wherein defining the parameters of the individual eye model takes place on the basis of intraocular lens data and further on the basis of individual measurement values for the eye of the spectacle wearer and/or standard values and/or on the basis of the provided individual refraction data such that the model eye has the provided individual refraction data, wherein defining the parameters of the lens of the model eye takes place on the basis of the intraocular lens data. 3. The computer-implemented method according to claim 1 , wherein a lens-retina distance of the eye of the spectacle wearer is identified, and defining the parameters of the individual eye model takes place on the basis of the identified lens-retina distance and further on the basis of individual measurement values for the eye of the spectacle wearer and/or standard values and/or on the basis of the provided individual refraction data such that the model eye has the provided individual refraction data, wherein the lens-retina distance of the model eye is defined by the identified lens-retina distance of the eye of the spectacle wearer. 4. The computer-implemented method according to claim 1 , wherein defining the lens-retina distance takes place by measuring and/or calculating. 5. The computer-implemented method according to claim 2 , wherein the intraocular lens data comprises at least a defocus of the front surface of the intraocular lens, a defocus of the back surface of the intraocular lens, and a thickness of the intraocular lens; and/or wherein the intraocular lens data comprises at least a defocus of the refractive power of the intraocular lens, and/or wherein the intraocular lens data includes a specification of the A constant. 6. The computer-implemented method according to claim 2 , wherein the intraocular lens data is provided on the basis of type or serial number information. 7. The computer-implemented method according to claim 1 , further comprising: carrying out a consistency check of the defined eye model, and solving any inconsistencies with the aid of analytical and/or numerical and/or probabilistic methods. 8. The computer-implemented method according to claim 7 , wherein any inconsistencies are solved by: adapting one or more parameters of the eye model, wherein several parameters of the eye model are adapted and the adaptation is divided among the several parameters of the eye model; and/or adding at least one new parameter to the eye model and defining it such that the eye model becomes consistent; and/or adapting a target power of the ophthalmic lens. 9. The computer-implemented method according to claim 1 , wherein the parameters of the eye model are determined with the aid of probabilistic methods using Bayesian statistics and/or a maximum likelihood algorithm. 10. The computer-implemented method according to claim 1 , wherein the provided individual refraction data on the at least one eye of the spectacle wearer is individual post-surgery refraction data of the at least one eye of the spectacle wearer, and wherein the individual eye model is a post-surgery eye model. 11. The computer-implemented method according to claim 10 , further comprising: providing individual pre-surgery refraction data of the at least one eye of the spectacle wearer, wherein determining a lens-retina distance of the eye of the spectacle wearer is based on an individual pre-surgery eye model using the provided individual pre-surgery refraction data. 12. The computer-implemented method according to claim 11 , wherein in the pre-surgery eye model at least: a shape and/or power of a corneal front surface of a model eye of the pre-surgery eye model; a cornea-lens distance of the model eye of the pre-surgery eye model; parameters of the lens of the model eye of the pre-surgery eye model; and a lens-retina distance of the model eye of the pre-surgery eye model are defined on the basis of individual measurement values for the eye of the spectacle wearer and/or standard values and/or on the basis of the provided individual pre-surgery refraction data such that the model eye has the provided individual pre-surgery refraction data, wherein at least defining the lens-retina distance takes place by measuring and/or calculating. 13. A computer-implemented method for calculating or optimizing a spectacle lens for at least one eye of a spectacle wearer, comprising: a method for identifying relevant individual parameters of the at least one eye of the spectacle wearer according to claim 1 ; specifying a first surface and a second surface for the spectacle lens to be calculated or optimized; identifying the course of a main ray through at least one visual point of at least one surface of the spectacle lens to be calculated or optimized into the model eye; evaluating an aberration of a wavefront resulting from a spherical wavefront incident on the first surface of the spectacle lens along the main ray on an evaluation surface compared to a wavefront converging in one point on the retina of the eye model; and iteratively varying the at least one surface of the spectacle lens to be calculated or optimized until the evaluated aberration corresponds to a predetermined target aberration. 14. A method for producing a spectacle lens, comprising: calculating or optimizing a spectacle lens according to the method for calculating or optimizing a spectacle lens according to claim 13 ; and manufacturing the thus-calculated or optimized spectacle lens. 15. A device for identifying relevant individual parameters of at least one eye of a spectacle wearer for the calculation or optimization of a spectacle lens for the at least one eye of the spectacle wearer, the at least one eye of the spectacle wearer having an implanted intraocular lens, comprising: at least one data interface configured to provide individual refraction data on the at least one eye of the spectacle wearer; and a modeling module configured to define an individual eye model, which at least defines a shape and/or power of a corneal front surface of a model eye; a cornea-lens distanc
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