Apparatus, System and Method for Predictive Modeling to Design, Evaluate and Optimize Ophthalmic Lenses

• US 20110270596A1
• Filed: 04/30/2010
• Published: 11/03/2011
• Est. Priority Date: 04/30/2010
• Status: Active Grant

• Current Assignee: Amo Groningen B.V (Johnson & Johnson)
• Original Assignee: AMO Regional Holdings (Abbott Laboratories Incorporated)
• Inventors: Weeber, Hendrik A.
• Granted Patent: US 8,862,447 B2
• Time in Patent Office: Days
• US Class Current: 703/11
• CPC Class Codes: A61B 3/0025 characterised by electronic signal processing, e.g. eye models
• CPC Class Codes: A61F 2/16 Intraocular lenses
• CPC Class Codes: A61F 2240/002 Designing or making customized prostheses
• CPC Class Codes: G02C 7/02 Lenses; Lens systems ; Methods of designing lenses
• CPC Class Codes: G02C 7/024 Methods of designing ophthalmic lenses
• CPC Class Codes: G02C 7/04 Contact lenses for the eyes disinfection or sterilisation of contact lenses A61L12/00
• CPC Class Codes: G02C 7/041 bifocal; multifocal
• CPC Class Codes: G02C 7/06 bifocal; multifocal ; progressive G02C7/041 takes precedence

Abstract

An apparatus, system and method for predictive modeling to design, evaluate and optimize ophthalmic lenses is disclosed. Ophthalmic lenses may include, for example, contacts, glasses or intraocular lenses (IOLs). The apparatus, system and method may include a design tool for designing a lens for implantation in an eye having a plurality of characteristics, a simulator for simulating performance of the lens in at least one modeled eye having the plurality of characteristics, at least one input for receiving clinical performance of the lens in the eye having the plurality of characteristics, a comparator for comparing outcomes of the clinical performance and the simulated performance, and an optimizer for optimizing a subsequent one of the outcome of the clinical performance responsive to modification of the lens in accordance with modification to the simulated performance.

Claims

1. A system for optimizing a clinical implementation of an ophthalmic lens, wherein the ophthalmic lens is indicated for treating at least one condition of a set of eyes, comprising:

a plurality of eye models associated with at least one processor, wherein ones of said plurality of eye models are indicative of the at least one condition of the set of eyes;

a simulator provided by the at least one processor that models the ophthalmic lens in at least one of said plurality of eye models having at least first characteristics, wherein said simulator outputs a first outcome of the ophthalmic lens in the at least one of said plurality of eye models;

at least one clinical input to the at least one processor comprising at least second characteristics of a clinical eye associated with the clinical implementation, wherein the second characteristics at least substantially overlap the first characteristics, and a second outcome indicative of the clinical implementation of the at least one ophthalmic lens; and

a comparator instantiated by the at least one processor that compares the first outcome and the second outcome, and that compares differences between the first outcome and the second outcome to a predetermined tolerance threshold;

wherein the processor optimizes at least the first outcome to bring the differences within the predetermined tolerance threshold.

2. The system of claim 1, wherein the first and the second outcomes comprise a visual acuity for at least one predetermined viewing condition.

3. The system of claim 2, wherein the viewing condition comprises viewing distance at at least one predefined light level.

4. The system of claim 1, wherein the first and second outcomes comprise a contrast sensitivity for at least one predetermined viewing condition.

5. The system of claim 4, wherein the viewing condition comprises viewing distance at at least one predefined light level.

6. The system of claim 1, wherein the second outcome comprises a clinical outcome parameter.

7. The system of claim 1, wherein at least one of said at least one clinical input comprises a remote input.

8. The system of claim 9, wherein the remote input is provided over at least one network.

9. The system of claim 1, wherein at least one of said at least one clinical input comprises a local input.

10. The system of claim 1, wherein the condition of the set of eyes is at least one selected from the group consisting of cataracts, presbyopia, chromatic and spherical aberration, optical aberrations, ocular geometry, post-LASIK, myopia, retinal conditions, neural conditions and combinations thereof.

11. The system of claim 1, wherein the predetermined tolerance threshold comprises a comparative level of visual acuity.

12. The system of claim 1, wherein the predetermined tolerance threshold comprises a comparative level of contrast sensitivity.

13. The system of claim 1, further comprising at least one graphical user interface, wherein at least said clinical input is provided from, and the optimization is provided to, said at least one graphical user interface.

14. The system of claim 1, wherein the ophthalmic lens comprises an IOL.

15. A method of optimizing a design of an ophthalmic lens, comprising:

receiving a first lens design for the ophthalmic lens;

simulating an outcome provided by the first lens design in at least one modeled eye having a plurality of first characteristics;

receiving a clinical outcome of the first lens design in a plurality of patient eyes having a plurality of second characteristics;

comparing the clinical outcome and the simulated outcome;

iteratively optimizing said simulating in accordance with said comparing; and

iteratively optimizing the first lens design to a second lens design in accordance with said comparing.

16. The method of claim 15, wherein the first lens design has associated therewith a first design parameter.

17. The method of claim 15, wherein the first characteristics and the second characteristics are substantially equivalent.

18. The method of claim 15, wherein the first characteristics include at least one of pupil size, off-axis vision, distance vision, corneal power, residual accommodation, gender, age and race, cataracts, presbyopia, chromatic and spherical aberration, optical aberrations, ocular geometry, post-LASIK, myopia, retinal conditions, and neural conditions.

19. The method of claim 15, wherein the first characteristics include at least one of particular aberrations and aberrations of particular severity.

20. The method of claim 19, wherein the particular aberrations include at least one of astigmatism, presbyopia, and chromatic and spherical aberration.

21. The method of claim 15, wherein the second characteristics include at least one of pupil size, off-axis vision, distance vision, corneal power, residual accommodation, gender, age, race, cataracts, presbyopia, chromatic and spherical aberration, optical aberrations, ocular geometry, post-LASIK, myopia, retinal conditions, and neural conditions.

22. The method of claim 15, wherein the second characteristics include at least one of particular aberrations and aberrations of particular severity.

23. The method of claim 15, wherein said comparing comprises comparing a difference between the clinical outcome and the simulated outcome to a predetermined tolerance threshold.

24. The method of claim 15, wherein said iteratively optimizing comprises at least modifying said simulating.

25. The method of claim 15, wherein said optimizing is responsive to different weightings of ones of the first characteristics.

26. The method of claim 25, wherein said comparing is based on the different weightings.

27. The method of claim 15, wherein said optimizing is responsive to different weightings of the first outcome and the second outcome.

28. A design apparatus for an IOL, comprising:

an IOL design tool for designing the IOL for implantation in a set of eyes having a plurality of first characteristics;

a simulator for simulating performance of the IOL in at least one modeled eye having a plurality of second characteristics;

at least one input for receiving clinical performance of the IOL in the set of eyes having the plurality of first characteristics;

a comparator for comparing outcomes of the clinical performance and the simulated performance; and

an optimizer for optimizing a subsequent outcome of the clinical performance responsive to modification of the IOL in accordance with at least one modification to the simulated performance.

29. The design apparatus of claim 28, wherein the characteristics comprise weighted characteristics.

30. The design apparatus of claim 28, said optimizer further comprising a second optimizer for optimizing said simulator.

31. A method of optimizing a design of an ophthalmic lens, comprising:

receiving a first lens design for the ophthalmic lens;

simulating an outcome provided by the at least one first lens design in at least one modeled eye having a plurality of first characteristics;

receiving a clinical outcome of the first lens design in a plurality of patient eyes having a plurality of second characteristics;

comparing the clinical outcome and the simulated outcome;

iteratively optimizing said simulating in accordance with said comparing; and

iteratively optimizing a second lens design to a third lens design in accordance with said iteratively optimized simulating.

32. The method according to claim 31, wherein the outcome comprises at least one of a visual acuity and a contrast sensitivity for at least one predefined viewing condition.

33. The method according to claim 31, wherein the first lens design comprises a monofocal lens, and the second lens design comprises a presbyopia correcting lens.

34. The method according to claim 33, wherein the second lens design comprises a multifocal lens.

35. The method according to claim 31, wherein the first lens design comprises a monofocal lens and a presbyopia correcting lens.

36. The method according to claim 35, wherein the presbyopia correcting lens comprises a multifocal lens.