TREATMENT PLANNING METHOD AND SYSTEM FOR CONTROLLING LASER REFRACTIVE SURGERY

• US 20120172854A1
• Filed: 12/30/2011
• Published: 07/05/2012
• Est. Priority Date: 12/30/2010
• Status: Active Grant

• Current Assignee: AMO Development LLC (Johnson & Johnson)
• Original Assignee: Amo Wavefront Sciences LLC (Johnson & Johnson)
• Inventors: Raymond, Thomas D., Neal, Daniel R.
• Granted Patent: US 10,500,092 B2
• Time in Patent Office: Days
• US Class Current: 606/5
• CPC Class Codes: A61F 2009/00857 considering biodynamics
• CPC Class Codes: A61F 2009/00859 considering nomograms
• CPC Class Codes: A61F 2009/00872 Cornea
• CPC Class Codes: A61F 2009/0088 based on wavefront
• CPC Class Codes: A61F 9/008 using laser

Abstract

Improved devices, systems, and methods for diagnosing, planning treatments of, and/or treating the refractive structures of an eye of a patient incorporate results of prior refractive corrections into a planned refractive treatment of a particular patient by driving an effective treatment vector function based on data from the prior eye treatments. The exemplary effective treatment vector employs an influence matrix which may allow improved refractive corrections to be generated so as to increase the overall accuracy of laser eye surgery (including LASIK, PRK, and the like), customized intraocular lenses (IOLs), refractive femtosecond treatments, and the like.

Claims

1. A method for planning a refractive treatment of an eye of a patient, the method comprising:

determining an effective treatment vector function based on a plurality of prior eye treatments by;

for each prior eye treatment of an associated eye;

defining a pre-treatment vector characterizing measured pre-treatment high-order aberrations of the associated eye;

defining a post-treatment vector characterizing measured post treatment high-order aberrations of the associated eye;

deriving the effective treatment vector function using a correlation between the pre-treatment vectors and the post-treatment vectors;

defining an input vector based on measured pre-treatment high-order aberrations of the eye of the patient; and

deriving the treatment of the eye of the patient by applying the effective treatment vector function to the input vector.

2. The method of claim 1, wherein:

defining the input vector comprises;

identifying a target refraction of the eye of the patient to be induced by the refractive treatment; and

determining an intended refractive correction vector (IRC) characterizing a difference between the measured pre-treatment aberrations of the eye of the patient and the target; and

wherein deriving the effective treatment vector function from prior treatments comprises;

determining intended refractive correction vectors (IRCs) of the associated eyes and

determining surgically induced refractive correction vectors (SIRCs) of the associated eyes, each SIRC characterizing a difference between the measured pre-treatment aberrations and the post-treatment aberrations of an associated eye.

3. The method of claim 2, wherein deriving the effective treatment vector function comprises determining an influence matrix f relating the SIRCs to the IRCs.

4. The method of claim 3, wherein f relates the SIRCs to the IRCs such that for the associated eyes:

{right arrow over (E)}={right arrow over (SIRC)}−

f

{right arrow over (IRC)},

in which E is an error vector; and

wherein the applying the effective treatment vector function to the input vector comprises calculating an adjusted intended refractive correction vector (AIRC), and wherein

{right arrow over (AIRC)}=f<sup>−

1</sup>

{right arrow over (IRC′

)}

in which f<sup>−

1</sup> an inverse of f and in which {right arrow over (IRC′

)} is based on the IRC of the eye of the patient.

5. The method of claim 2, further comprising defining an IRC′

for the eye of the patient by applying, to the IRC of the eye of the patient, at least one adjustment selected from the group consisting of;

physician adjustments to the IRC; and

nomogram adjustments to the IRC;

the input vector being based on the IRC′

.

6. The method of claim 1, wherein the effective treatment vector function is derived using an influence matrix.

7. The method of claim 6, wherein the planned treatment of the eye of the patient is characterized by a planned treatment vector, and wherein the influence matrix is derived such that a plurality of the elements of the input vector each alter a plurality of elements of the planned treatment vector.

8. The method of claim 6, wherein the planned treatment of the eye of the patient is characterized by a planned treatment vector, and wherein the influence matrix is derived such that a plurality of the planned treatment vector elements are each altered by a plurality of elements of the input vector.

9. The method of claim 6, wherein the planned treatment of the eye of the patient is characterized by a planned treatment vector, and wherein the influence matrix is derived such that every element of the input vector characterizing a refractive shape of the eye of the patient can alter every element of the planned treatment vector characterizing a change in the refractive shape of the eye of the patient.

10. The method of claim 1, wherein the pre-treatment vectors and the input vector characterize refraction, non-refractive cofactors characterizing the patient and/or the treatment setting, and the high-order aberrations of the eyes.

11. The method of claim 6, wherein the treatment of the eye of the patient is derived by multiplying the influence matrix of the effective treatment vector function by the input vector so as to define a conditioned input vector, and by planning a refractive treatment with matrix elements of the conditioned input vector.

12. A method for planning a refractive treatment of an eye of a patient, the method comprising:

deriving an influence matrix from a plurality of prior eye treatments by, for each prior eye treatment of an associated eye;

determining an intended refractive correction vector (IRC) characterizing a difference between measured pre-treatment high-order aberrations of the associated eye and a target refraction of the associated eye; and

determining a surgically induced refractive correction vector (SIRC) of the associated eye characterizing a difference between the measured pre-treatment aberrations and measured post-treatment aberrations of the associated eye;

wherein the influence matrix is derived so as to provide a correlation between the IRCs and the SIRCs; and

defining a patient IRC vector characterizing a difference between measured pre-treatment high-order aberrations of the eye of the patient and a target refraction of the eye of the patient;

adjusting the patient IRC vector based on the influence matrix.

13. The method of claim 12, further comprising treating the patient based on the adjusted IRC.

14. A method for planning a refractive treatment of an eye of a patient, an influence matrix having been derived from a plurality of prior eye treatments by, for each prior eye treatment of an associated eye, determining a target refraction of the associated eye, determining an intended refractive correction vector (IRC) characterizing a difference between measured pre-treatment high-order aberrations of the associated eye and the target, and determining a surgically induced refractive correction vector (SIRC) of the associated eye characterizing a difference between the measured pre-treatment aberrations and measured post-treatment aberrations of the associated eye, the influence matrix derived so as to provide a correlation between the IRCs and the SIRCs, the method comprising:

receiving a patient IRC vector characterizing a difference between measured pre-treatment high-order aberrations of the eye of the patient and a target refraction of the eye of the patient; and

adjusting the patient IRC vector based on the influence matrix.

15. A system for planning a refractive treatment of an eye of a patient, the system comprising:

an input for receiving pre-treatment high-order aberrations of the eye of the patient;

a processor coupled to the input, the processor deriving the treatment of the eye of the patient in response to the high-order aberrations of the eye of the patient by applying an effective treatment vector function, wherein the effective treatment vector function is derived from, for each of a plurality of prior eye treatments, a correlation between a pre-treatment vector characterizing high-order aberrations of the associated eye before treatment, and a post-treatment vector characterizing post-treatment high-order aberrations of the associated eye; and

an output coupled to the processor so as to transmit the treatment to facilitate improving refraction of the eye of the patient.

16. The system of claim 15, wherein the processor comprises tangible media embodying machine readable instructions for implementing the derivation of the treatment.

17. The system of claim 15, wherein the processor is configured to generate an input vector for the eye of the patient in response to a target refraction of the eye of the patient to be induced by the refractive treatment by determining an intended refractive correction (IRC) characterizing a difference between measured pre-treatment aberrations of the eye of the patient and the target.

18. The system of claim 17, further comprising an aberrometer coupled to the input, the aberrometer sensing the high-order aberrations of an eye and transmitting the high-order aberrations to the processor.

19. The system of claim 18, wherein the processor is configured to derive the effective treatment vector function from prior treatments in response to intended refractive correction vectors (IRCs) of the associated eyes and to determine surgically induced refractive correction vectors (SIRCs) of the associated eyes, each SIRC characterizing a difference between the measured pre-treatment aberrations and the post-treatment aberrations of an associated eye.

20. The system of claim of claim 15, wherein the effective treatment vector function is based on an influence matrix f relating the SIRCs to the IRCs.

21. The system of claim 20, wherein f relates the SIRCs to the IRCs such that for the associated eyes:

{right arrow over (E)}={right arrow over (SIRC)}−

f

{right arrow over (IRC)},

in which {right arrow over (E)} is an error vector; and

wherein the applying the effective treatment vector function to the input vector comprises calculating an adjusted intended refractive correction vector (AIRC), and wherein

{right arrow over (AIRC)}=f<sup>−

1</sup>

{right arrow over (IRC′

)}

in which f<sup>−

1</sup> is an inverse of f and in which IRC′

is based on the IRC of the eye of the patient.

22. The system of claim 17, further comprising an additional input coupled to the processor for receiving at least one adjustment selected from the group consisting of:

physician adjustments to the IRC; and

nomogram adjustments to the IRC;

wherein the processor is configured to define an IRC′

for the eye of the patient by applying, to the IRC of the eye of the patient, the at least one adjustment, the input vector being based on the IRC′

.

23. The system of claim 15, wherein the effective treatment vector function is based on an influence matrix.

24. The system of claim 23, wherein the planned treatment of the eye of the patient comprises a planned treatment vector, and wherein a plurality of the elements of the input vector each alter a plurality of elements of the planned treatment matrix, and/or wherein a plurality of the planned treatment vector elements are each altered by a plurality of elements of the input vector.

25. The system of claim 23, wherein the input vector comprises refractive elements characterizing refraction of the eye of the patient, non-refractive cofactors characterizing the patient and/or the treatment setting, and high-order elements characterizing the high-order aberrations of the eye.

26. The system of claim 23, wherein the processor is configured to derive the treatment of the eye of the patient by multiplying the influence matrix of the effective treatment vector function by the input vector.

27. A system for planning a refractive treatment of an eye of a patient, the system comprising:

a processor having an input for receiving data regarding a plurality of prior eye treatments and for deriving an influence matrix therefrom by, for each prior eye treatment of an associated eye;

determining an intended refractive correction vector (IRC) characterizing a difference between measured pre-treatment high-order aberrations of the associated eye and a target refraction of the associated eye; and

determining a surgically induced refractive correction vector (SIRC) of the associated eye characterizing a difference between the measured pre-treatment aberrations and measured post-treatment aberrations of the associated eye;

wherein the influence matrix comprises a correlation between the IRCs and the SIRCs; and

another input for receiving a patient IRC vector characterizing a difference between measured pre-treatment high-order aberrations of the eye of the patient and a target refraction of the eye of the patient; and

an output coupled to the processor for transmitting a treatment, the processor configured to derive the treatment by adjusting the patient IRC vector based on the influence matrix.

28. The system of claim 27, further comprising a laser eye surgery apparatus coupled to the output, the surgery apparatus generating a laser beam for treating the patient based on the adjusted IRC.

29. A system for planning a refractive treatment of an eye of a patient, an influence matrix having been derived from a plurality of prior eye treatments by, for each prior eye treatment of an associated eye, determining a target refraction of the associated eye, determining an intended refractive correction vector (IRC) characterizing a difference between measured pre-treatment high-order aberrations of the associated eye and the target, and determining a surgically induced refractive correction vector (SIRC) of the associated eye characterizing a difference between the measured pre-treatment aberrations and measured post-treatment aberrations of the associated eye, the influence matrix derived so as to provide a correlation between the IRCs and the SIRCs, the system comprising:

an input for receiving a patient IRC vector characterizing a difference between measured pre-treatment high-order aberrations of the eye of the patient and a target refraction of the eye of the patient; and

a processor coupled to the input, the processor configured for adjusting the patient IRC vector based on the influence matrix.

30. A method for planning a refractive treatment of an eye of a patient, the method comprising:

determining an effective treatment vector function based on a plurality of prior eye treatments by;

for each prior eye treatment of an associated eye;

defining a pre-treatment vector characterizing measured pre-treatment optical properties of the associated eye;

defining a post-treatment vector characterizing measured post treatment optical properties of the associated eye; and

deriving the effective treatment vector function using a correlation between the pre-treatment vectors and the post-treatment vectors;

defining an input vector based on measured pre-treatment optical properties of the eye of the patient; and

deriving the treatment of the eye of the patient by applying the effective treatment vector function to the input vector.

31. The method of claim 30, wherein the measured pre-treatment optical properties comprise a member selected from the group consisting of a low order aberration, a high order aberration, a corneal topography measurement, an optical coherence tomography measurement, and a corneal keratometry value.

32. The method of claim 30, wherein the refractive treatment comprises a member selected from the group consisting of an excimer laser treatment, a femtosecond laser treatment, an intraocular lens treatment, a contact lens treatment, and a spectacle treatment.

33. The method of claim 30,

wherein defining the input vector comprises:

identifying a target refraction of the eye of the patient to be induced by the refractive treatment; and

determining an intended refractive correction vector (IRC) characterizing a difference between the measured pre-treatment aberrations of the eye of the patient and the target, and

wherein deriving the effective treatment vector function from prior treatments comprises;

determining intended refractive correction vectors (IRCs) of the associated eyes; and

determining surgically induced refractive correction vectors (SIRCs) of the associated eyes, each SIRC characterizing a difference between the measured pre-treatment aberrations and the post-treatment aberrations of an associated eye.

34. The method of claim 33, wherein deriving the effective treatment vector function comprises determining an influence matrix f relating the SIRCs to the IRCs.

36. The method of claim 33, further comprising defining an IRC′

for the eye of the patient by applying, to the IRC of the eye of the patient, at least one adjustment selected from the group consisting of;

physician adjustments to the IRC; and

nomogram adjustments to the IRC;

the input vector being based on the IRC'"'"'.

37. The method of claim 30, wherein the effective treatment vector function is derived using an influence matrix.

41. The method of claim 30, wherein the pre-treatment vectors and the input vector characterize refraction, non-refractive cofactors characterizing the patient and/or the treatment setting, and the optical properties of the eyes.

35. The method of claim 35, wherein f relates the SIRCs to the IRCs such that for the associated eyes:

{right arrow over (E)}={right arrow over (SIRC)}−

f

{right arrow over (IRC)},

in which E is an error vector; and

wherein the applying the effective treatment vector function to the input vector comprises calculating an adjusted intended refractive correction vector (AIRC), and wherein

{right arrow over (AIRC)}=f<sup>−

1</sup>

{right arrow over (IRC′

)}

in which f<sup>−

1</sup> an inverse of f and in which {right arrow over (IRC′

)} is based on the IRC of the eye of the patient.

38. The method of claim 38, wherein the planned treatment of the eye of the patient is characterized by a planned treatment vector, and wherein the influence matrix is derived such that a plurality of the elements of the input vector each alter a plurality of elements of the planned treatment vector.

39. The method of claim 38, wherein the planned treatment of the eye of the patient is characterized by a planned treatment vector, and wherein the influence matrix is derived such that a plurality of the planned treatment vector elements are each altered by a plurality of elements of the input vector.

40. The method of claim 38, wherein the planned treatment of the eye of the patient is characterized by a planned treatment vector, and wherein the influence matrix is derived such that every element of the input vector characterizing a refractive shape of the eye of the patient can alter every element of the planned treatment vector characterizing a change in the refractive shape of the eye of the patient.

42. The method of claim 38, wherein the treatment of the eye of the patient is derived by multiplying the influence matrix of the effective treatment vector function by the input vector so as to define a conditioned input vector, and by planning a refractive treatment with matrix elements of the conditioned input vector.

43. A method for planning a refractive treatment of an eye of a patient, the method comprising:

deriving an influence matrix from a plurality of prior eye treatments by, for each prior eye treatment of an associated eye;

determining an intended refractive correction vector (IRC) characterizing a difference between measured pre-treatment high-order aberrations of the associated eye and a target refraction of the associated eye; and

determining a surgically induced refractive correction vector (SIRC) of the associated eye characterizing a difference between the measured pre-treatment aberrations and measured post-treatment aberrations of the associated eye;

wherein the influence matrix is derived so as to provide a correlation between the IRCs and the SIRCs; and

defining a patient IRC vector characterizing a difference between measured pre-treatment high-order aberrations of the eye of the patient and a target refraction of the eye of the patient;

adjusting the patient IRC vector based on the influence matrix.

44. The method of claim 44, wherein, for each prior eye treatment of the associated eye, the IRC is further determined so as to characterize a difference between measured pre-treatment low order aberrations and target low order aberrations, and so as to characterize a difference between measured pre-treatment corneal topography and target corneal topography, and the SIRC is further determined so as to characterize a difference between the measured pre-treatment low order aberrations and measured post-treatment aberrations, and so as to characterize a difference between measured the pre-treatment corneal topography and measured post-treatment corneal topography, wherein the patient IRC vector is further defined so as to characterize a difference between measured pre-treatment low order aberrations and the target refraction, and so as to characterize a difference between measured pre-treatment topography of the eye and target topography.

45. The method of claim 44, further comprising treating the patient based on the adjusted IRC.

46. A method for planning a refractive treatment of an eye of a patient, an influence matrix having been derived from a plurality of prior eye treatments by, for each prior eye treatment of an associated eye, determining a target refraction of the associated eye, determining an intended refractive correction vector (IRC) characterizing a difference between measured pre-treatment optical properties of the associated eye and the target, and determining a surgically induced refractive correction vector (SIRC) of the associated eye characterizing a difference between the measured pre-treatment optical properties and measured post-treatment optical properties of the associated eye, the influence matrix derived so as to provide a correlation between the IRCs and the SIRCs, the method comprising:

receiving a patient IRC vector characterizing a difference between measured pre-treatment optical properties of the eye of the patient and a target refraction of the eye of the patient; and

adjusting the patient IRC vector based on the influence matrix.

47. A system for planning a refractive treatment of an eye of a patient, the system comprising:

an input for receiving pre-treatment optical properties of the eye of the patient;

a processor coupled to the input, the processor deriving the treatment of the eye of the patient in response to the optical properties of the eye of the patient by applying an effective treatment vector function, wherein the effective treatment vector function is derived from, for each of a plurality of prior eye treatments, a correlation between a pre-treatment vector characterizing optical properties of the associated eye before treatment, and a post-treatment vector characterizing post-treatment optical properties of the associated eye; and

an output coupled to the processor so as to transmit the treatment to facilitate improving refraction of the eye of the patient.

50. The system of claim 47, wherein the processor comprises tangible media embodying machine readable instructions for implementing the derivation of the treatment.

51. The system of claim 47, wherein the processor is configured to generate an input vector for the eye of the patient in response to a target refraction of the eye of the patient to be induced by the refractive treatment by determining an intended refractive correction (IRC) characterizing a difference between measured pre-treatment aberrations of the eye of the patient and the target.

52. The system of claim 47, further comprising an aberrometer coupled to the input, the aberrometer sensing the low order aberrations of the eye and the high-order aberrations of an eye and transmitting the low and high-order aberrations to the processor.

54. The system of claim 47, further comprising an optical coherence tomography measurement apparatus coupled to the input, the optical coherence tomography measurement apparatus sending the optical properties of an eye and transmitting the optical properties to the processor.

59. The system of claim 52, further comprising an additional input coupled to the processor for receiving at least one adjustment selected from the group consisting of:

physician adjustments to the IRC; and

nomogram adjustments to the IRC;

wherein the processor is configured to define an IRC′

for the eye of the patient by applying, to the IRC of the eye of the patient, the at least one adjustment, the input vector being based on the IRC′

.

60. The system of claim 47, wherein the effective treatment vector function is based on an influence matrix.

61. The system of claim 52, wherein the planned treatment of the eye of the patient comprises a planned treatment vector, and wherein a plurality of the elements of the input vector each alter a plurality of elements of the planned treatment matrix, and/or wherein a plurality of the planned treatment vector elements are each altered by a plurality of elements of the input vector.

62. The system of claim 52, wherein the input vector comprises refractive elements characterizing refraction of the eye of the patient, non-refractive cofactors characterizing the patient and/or the treatment setting, and elements characterizing the optical properties of the eye.

64. The system of claim 61, wherein the processor is configured to derive the treatment of the eye of the patient by multiplying the influence matrix of the effective treatment vector function by the input vector.

48. The system of claim 48, wherein the pre-treatment optical properties of the eye of the patient comprise at least one member selected from the group consisting of a low order aberration, a high order aberration, a corneal topography measurement, an optical coherence tomography measurement, and a corneal keratometry value;

and

wherein, for each of the plurality of prior eye treatments, the pre-treatment vector characterizes optical properties of the associated eye before treatment, the optical properties comprising one or more member selected from the group consisting of a low order aberration, a high order aberration, a corneal topography measurement, an optical coherence tomography measurement, and a corneal keratometry value, and the post-treatment vector characterizes optical properties of the associated eye before treatment, the optical properties comprising one or more member selected from the group consisting of a low order aberration, a high order aberration, a corneal topography measurement, an optical coherence tomography measurement, and a corneal keratometry value.

49. The system of claim 48, wherein the output is configured to facilitate a refractive treatment comprising a member selected from the group consisting of an excimer laser treatment, a femtosecond laser treatment, an intraocular lens treatment, a contact lens treatment, and a spectacle treatment.

55. The system of claim 48, further comprising a keratometry apparatus coupled to the input, the keratometry apparatus sensing the optical properties of an eye and transmitting the optical properties to the processor.

56. The system of claim 48, wherein the processor is configured to derive the effective treatment vector function from prior treatments in response to intended refractive correction vectors (IRCs) of the associated eyes and to determine surgically induced refractive correction vectors (SIRCs) of the associated eyes, each SIRC characterizing a difference between the measured pre-treatment aberrations and the post-treatment aberrations of an associated eye.

57. The system of claim of claim 48, wherein the effective treatment vector function is based on an influence matrix f relating the SIRCs to the IRCs.

53. The system of claim 53, wherein the aberrometer is configured to sense corneal topography and to transmitting the corneal topography to the processor.

58. The system of claim 58, wherein f relates the SIRCs to the IRCs such that for the associated eyes:

{right arrow over (E)}={right arrow over (SIRC)}−

f

{right arrow over (IRC)},

in which {right arrow over (E)} is an error vector; and

wherein the applying the effective treatment vector function to the input vector comprises calculating an adjusted intended refractive correction vector (AIRC), and wherein

{right arrow over (AIRC)}=f<sup>−

1</sup>

{right arrow over (IRC′

)}

in which f<sup>−

1</sup> is an inverse of f and in which IRC′

is based on the IRC of the eye of the patient.

63. The system of claim 63, wherein the elements characterizing the optical properties of the eye comprise a member selected from the group consisting of a high order element characterizing a high order aberration of the eye, a low order element characterizing a low order aberration of the eye, a corneal topography measurement element characterizing a corneal topography measurement of the eye, an optical coherence tomography measurement element characterizing an optical coherence topography measurement of the eye, and a corneal keratometry value element characterizing a corneal keratometry value of the eye.

65. A system for planning a refractive treatment of an eye of a patient, the system comprising:

a processor having an input for receiving data regarding a plurality of prior eye treatments and for deriving an influence matrix therefrom by, for each prior eye treatment of an associated eye;

determining an intended refractive correction vector (IRC) characterizing a difference between measured pre-treatment high-order aberrations of the associated eye and a target refraction of the associated eye; and

determining a surgically induced refractive correction vector (SIRC) of the associated eye characterizing a difference between the measured pre-treatment aberrations and measured post-treatment aberrations of the associated eye;

wherein the influence matrix comprises a correlation between the IRCs and the SIRCs; and

another input for receiving a patient IRC vector characterizing a difference between measured pre-treatment high-order aberrations of the eye of the patient and a target refraction of the eye of the patient; and

an output coupled to the processor for transmitting a treatment, the processor configured to derive the treatment by adjusting the patient IRC vector based on the influence matrix.

66. The system of claim 65, wherein the pre-treatment optical properties of the eye of the patient comprise at least one member selected from the group consisting of a low order aberration, a high order aberration, a corneal topography measurement, an optical coherence tomography measurement, and a corneal keratometry value;

and

wherein, for each of the plurality of prior eye treatments, the pre-treatment vector characterizes optical properties of the associated eye before treatment, the optical properties comprising one or more member selected from the group consisting of a low order aberration, a high order aberration, a corneal topography measurement, an optical coherence tomography measurement, and a corneal keratometry value, and the post-treatment vector characterizes optical properties of the associated eye before treatment, the optical properties comprising one or more member selected from the group consisting of a low order aberration, a high order aberration, a corneal topography measurement, an optical coherence tomography measurement, and a corneal keratometry value.

67. The system of claim 65, wherein the measured pre-treatment optical properties of the eye of the patient comprise a member selected from the group consisting of a low order aberration, a high order aberration, a corneal topography measurement, an optical coherence tomography measurement, and a corneal keratometry value.

68. The system of claim 65, wherein the refractive treatment comprises a member selected from the group consisting of an excimer laser treatment, a femtosecond laser treatment, an intraocular lens treatment, a contact lens treatment, and a spectacle treatment.

69. The system of claim 65, further comprising a laser eye surgery apparatus coupled to the output, the surgery apparatus generating a laser beam for treating the patient based on the adjusted IRC.

70. A system for planning a refractive treatment of an eye of a patient, an influence matrix having been derived from a plurality of prior eye treatments by, for each prior eye treatment of an associated eye, determining a target refraction of the associated eye, determining an intended refractive correction vector (IRC) characterizing a difference between measured pre-treatment optical properties of the associated eye and the target, and determining a surgically induced refractive correction vector (SIRC) of the associated eye characterizing a difference between the measured pre-treatment aberrations and measured post-treatment aberrations of the associated eye, the influence matrix derived so as to provide a correlation between the IRCs and the SIRCs, the system comprising:

an input for receiving a patient IRC vector characterizing a difference between measured pre-treatment optical properties of the eye of the patient and a target refraction of the eye of the patient; and

a processor coupled to the input, the processor configured for adjusting the patient IRC vector based on the influence matrix.

71. The system of claim 70, wherein the measured pre-treatment optical properties of the associated eye comprise a member selected from the group consisting of a low order aberration, a high order aberration, a corneal topography measurement, an optical coherence tomography measurement, and a corneal keratometry value.

72. The system of claim 70, wherein the measured pre-treatment optical properties of the eye of the patient comprise a member selected from the group consisting of a low order aberration, a high order aberration, a corneal topography measurement, an optical coherence tomography measurement, and a corneal keratometry value.

73. The system of claim 70, wherein the refractive treatment comprises a member selected from the group consisting of an excimer laser treatment, a femtosecond laser treatment, an intraocular lens treatment, a contact lens treatment, and a spectacle treatment.

74. The system of claim 70, wherein the influence matrix is based on a correlation between a pre-treatment cylinder value, a post-treatment sphere value, and a pre-treatment keratometry value of the associated eye.

75. The system of claim 70, wherein the influence matrix is based on a correlation between a high order aberration and a pre-treatment keratometry value of the associated eye.

76. A system for planning a treatment of an eye of a patient having an eye with a natural lens, the system comprising:

an input for receiving pre-treatment optical properties of the eye of the patient with the natural lens;

a processor coupled to the input, the processor deriving the treatment of the eye of the patient in response to the optical properties of the eye of the patient by applying an effective treatment vector function, wherein the effective treatment vector function is derived from, for each of a plurality of prior eye treatments, a correlation between a pre-treatment vector characterizing optical properties of the associated eye with an associated lens therein, and a post-treatment vector characterizing post-treatment optical properties of the associated eye after removal of the natural lens and implantation of an associated intraocular lens; and

an output coupled to the processor so as to transmit the treatment to facilitate improving refraction of the eye of the patient.

77. A system for treating an eye of a patient, the eye having an anterior surface, the system comprising:

an input for receiving pre-treatment optical properties of the eye of the patient;

a processor coupled to the input, the processor deriving the treatment of the eye of the patient in response to the optical properties of the eye of the patient by applying an effective treatment vector function, wherein the effective treatment vector function is derived from, for each of a plurality of prior eye treatments, a correlation between a pre-treatment vector characterizing optical properties of the associated eye before treatment, and a post-treatment vector characterizing post-treatment optical properties of the associated eye; and

a femtosecond laser system coupled to the processor so as to focus a pattern of femtosecond laser energy through the anterior surface of the eye of the patient such that the refractive treatment is effected within the eye of the patient.