Application of neuro-ocular wavefront data in vision correction

• US 7,926,944 B2
• Filed: 04/26/2010
• Issued: 04/19/2011
• Est. Priority Date: 03/28/2003
• Status: Expired due to Fees

• Current Assignee: Digital Vision, LLC
• Original Assignee: Digital Vision, LLC
• Inventors: Thompson, Keith P., Staver, Phillip Randall, Garcia, Jose R.
• Primary Examiner(s): Mai; Huy K
• Application Number:
  US12/799,503
• Publication Number:
  US 20100231855A1
• Time in Patent Office: 358 Days
• Field of Search: 351/205, 351/222, 351/246
• US Class Current: 351/205
• CPC Class Codes: A61B 3/0025 characterised by electronic signal processing, e.g. eye models
• CPC Class Codes: A61F 2/147 Implants to be inserted in the stroma for refractive correction, e.g. ring-like implants
• CPC Class Codes: A61F 9/007 Methods or devices for eye surgery
• CPC Class Codes: A61F 9/013 Instruments for compensation of ocular refraction A61F9/008 takes precedence; Instruments for use in cornea removal, for reshaping or performing incisions in the cornea
• CPC Class Codes: G02C 2202/22 Correction of higher order and chromatic aberrations, wave front measurement and calculation
• CPC Class Codes: G06V 40/193 Preprocessing; Feature extraction
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 20/40 relating to mechanical, radiation or invasive therapies, e.g. surgery, laser therapy, dialysis or acupuncture
• CPC Class Codes: G16H 40/63 for local operation

Abstract

The present disclosure provides systems and methods for diagnosing and treating subjects using neuro-ocular wavefront data. As such, in some embodiments, among others, neuro-ocular wavefront data is obtained, and one or more characteristics of a visual system are ascertained from the neuro-ocular wavefront data.

Claims

1. A system comprising:

a refractometer configured to interactively obtain neuro-ocular wavefront data from a subject, the neuro-ocular wavefront data representing anomalies in a visual system of the subject, the refractometer further being configured to transmit the neuro-ocular wavefront data; and

an information storage device configured to receive the neuro-ocular wavefront data, the information storage device being located remotely from the refractometer.

2. A system comprising:

a computer configured to retrieve neuro-ocular wavefront data from an information storage device, the neuro-ocular wavefront data representing anomalies in a visual system of a subject;

a processor located within the computer, the processor being configured to calculate a correction from the neuro-ocular wavefront data, the corresponding to a treatment for reducing the anomalies in the visual system of the subject.

3. The system of claim 2, the correction corresponding to a prescription for spectacles.

4. The system of claim 2, the correction corresponding to a prescription for a contact lens.

5. The system of claim 2, the correction corresponding to a treatment profile for a refractive surgical technique.

6. The system of claim 5, the refractive surgical technique being one selected from the group consisting of:

radial keratotomy (RK);

astigmatic keratotomy (AK);

automated lamellar keratoplasty (ALK);

photorefractive keratectomy (PRK);

laser in situ keratomileusis (LASIK);

intracorneal ring segments (Intacs);

intracorneal lens surgery;

laser thermal keratoplasty (LTK);

phakic intraocular lenses; and

any combination thereof.

7. A method comprising the steps of:

interactively obtaining preoperative neuro-ocular wavefront data from a subject, the preoperative neuro-ocular wavefront data representing anomalies in the visual system of the subject, the preoperative neuro-ocular wavefront data being represented by a first equation, the first equation having a first set of coefficients;

determining a correction for reducing the anomalies in the visual system of the subject, the correction being a function of the preoperative neuro-ocular wavefront data;

predicting a result of applying the determined correction;

interactively obtaining postoperative neuro-ocular wavefront data for the subject, the postoperative neuro-ocular wavefront data representing a corrected visual system of the subject, the postoperative neuro-ocular wavefront data being represented by a second equation, the second equation having a second set of coefficients; and

determining a deviation between the predicted result and the postoperative neuro-ocular wavefront data.

8. The method of claim 7, further comprising the step of calculating a future correction, the future correction being a function of the determined deviation between the predicted result and the postoperative neuro-ocular wavefront data.

9. The method of claim 7, the correction comprising a prescription for spectacles.

10. The method of claim 7, the correction comprising a prescription for a contact lens.

11. The method of claim 7, the correction comprising a treatment profile for a refractive surgical technique.

12. The method of claim 11, the refractive surgical technique being one selected from the group consisting of:

radial keratotomy (RK);

astigmatic keratotomy (AK);

automated lamellar keratoplasty (ALK);

photorefractive keratectomy (PRK);

laser in situ keratomileusis (LASIK);

intracorneal ring segments (Intacs);

infracornea lens surgery;

laser thermal keratoplasty (LTK);

phakic intraocular lenses; and

any combination thereof.

13. A system comprising:

a refractometer configured to interactively obtain preoperative neuro-ocular wavefront data from a subject, the preoperative neuro-ocular wavefront data representing anomalies in the visual system of the subject, the preoperative neuro-ocular wavefront data being represented by a first equation, the first equation having a first set of coefficients, the refractometer further being configured to interactively obtain postoperative neuro-ocular wavefront data for the subject, the postoperative neuro-ocular wavefront data representing a corrected visual system of the subject, the postoperative neuro-ocular wavefront data being represented by a second equation, the second equation having a second set of coefficients; and

a processor configured to determine a correction for reducing the anomalies in the visual system of the subject, the correction being a function of the preoperative neuro-ocular wavefront data, the processor further being configured to predict a result of applying the determined correction, the processor further being configured to determine a deviation between the predicted result and the postoperative neuro-ocular wavefront data.

14. The system of claim 13, the processor being an integrated component of the refractometer.

15. The system of claim 13, the processor being located remotely from the refractometer.

16. The system of claim 13, the processor further being configured to calculate a future correction, the future correction being a function of the determined deviation between the predicted result and the postoperative neuro-ocular wavefront data.

17. The system of claim 13, the correction comprising a prescription for spectacles.

18. The system of claim 13, the correction comprising a prescription for a contact lens.

19. The system of claim 13, the correction comprising a treatment profile for a refractive surgical technique.

20. The system of claim 19, the refractive surgical technique being one selected from the group consisting of:

radial keratotomy (RK);

astigmatic keratotomy (AK);

automated lamellar keratoplasty (ALK);

photorefractive keratectomy (PRK);

laser in situ keratomileusis (LASIK);

intracorneal ring segments (Intacs);

intracornea lens surgery;

laser thermal keratoplasty (LTK);

phakic intraocular lenses; and

any combination thereof.

21. A system comprising:

means for interactively obtaining preoperative neuro-ocular wavefront data from a subject, the preoperative neuro-ocular wavefront data representing anomalies in the visual system of the subject, the preoperative neuro-ocular wavefront data being represented by a first equation, the first equation having a first set of coefficients;

means for determining a correction for reducing the anomalies in the visual system of the subject, the correction being a function of the preoperative neuro-ocular wavefront data;

means for predicting a result of applying the determined correction;

means for interactively obtaining postoperative neuro-ocular wavefront data for the subject, the postoperative neuro-ocular wavefront data representing a corrected visual system of the subject, the postoperative neuro-ocular wavefront data being represented by a second equation, the second equation having a second set of coefficients; and

means for determining a deviation between the predicted result and the postoperative neuro-ocular wavefront data.

22. The method of claim 21, further comprising means for calculating a future correction, the future correction being a function of the determined deviation between the predicted result and the postoperative neuro-ocular wavefront data.

23. A computer-readable medium comprising:

computer-readable code adapted to instruct a programmable device to interactively obtain preoperative neuro-ocular wavefront data from a subject, the preoperative neuro-ocular wavefront data representing anomalies in the visual system of the subject, the preoperative neuro-ocular wavefront data being represented by a first equation, the first equation having a first set of coefficients;

computer-readable code adapted to instruct a programmable device to determine a correction for reducing the anomalies in the visual system of the subject, the correction being a function of the preoperative neuro-ocular wavefront data;

computer-readable code adapted to instruct a programmable device to predict a result of applying the determined correction;

computer-readable code adapted to instruct a programmable device to interactively obtain postoperative neuro-ocular wavefront data for the subject, the postoperative neuro-ocular wavefront data representing a corrected visual system of the subject, the postoperative neuro-ocular wavefront data being represented by a second equation, the second equation having a second set of coefficients; and

computer-readable code adapted to instruct a programmable device to determine a deviation between the predicted result and the postoperative neuro-ocular wavefront data.

24. A computer-readable medium as defined in claim 23, further comprising computer-readable code adapted to instruct a programmable device to calculate a future correction, the future correction being a function of the determined deviation between the predicted result and the postoperative neuro-ocular wavefront data.

25. A method comprising the steps of:

interactively obtaining multiple sets of neuro-ocular wavefront data, each neuro-ocular wavefront data representing anomalies in the visual system of a corresponding subject, the neuro-ocular wavefront data being represented by an equation, the equation having coefficients;

storing the multiple sets of neuro-ocular wavefront data at a central repository; and

statistically analyzing the multiple sets of neuro-ocular wavefront data.

26. The method of claim 25, the step of statistically analyzing the multiple sets of neuro-ocular wavefront data comprising the step of applying a statistical regression across the multiple sets of neuro-ocular wavefront data.

27. The method of claim 26, further comprising the step of

determining parameters in an algorithm, the algorithm being configured to

calculate a

correction for anomalies in a visual system of a subject.

28. The method of claim 25, the multiple sets of neuro-ocular wavefront data comprising:

a first set of preoperative neuro-ocular wavefront data for a first subject, the first set of preoperative neuro-ocular wavefront data representing anomalies in the visual system of the first subject, the first set of preoperative neuro-ocular wavefront data being represented by a first equation, the first equation having a first set of coefficients;

a first set of postoperative neuro-ocular wavefront data for the first subject, the first set of postoperative neuro-ocular wavefront data representing a corrected visual system of the first subject, the visual system of the first subject being corrected by a first treatment, the postoperative neuro-ocular wavefront data being represented by a second equation, the second equation having a second set of coefficients;

a second set of preoperative neuro-ocular wavefront data for a second subject, the second set of preoperative neuro-ocular wavefront data representing anomalies in the visual system of the second subject, the anomalies in the visual system of the second subject being substantially similar to the anomalies in the visual system of the first subject, the second set of preoperative neuro-ocular wavefront data being represented by a third equation, the third equation having a third set of coefficients; and

a second set of postoperative neuro-ocular wavefront data for the second subject, the second set of postoperative neuro-ocular wavefront data representing a corrected visual system of the second subject, the visual system of the second subject being corrected by a second treatment, the second treatment being substantially different from the first treatment, the postoperative neuro-ocular wavefront data being represented by a fourth equation, the fourth equation having a fourth set of coefficients.

29. The method of claim 28, the first treatment being one selected from the group consisting of:

a prescription for spectacles;

a prescription for a contact lens;

radial keratotomy (RK);

astigmatic keratotomy (AK);

automated lamellar keratoplasty (ALK);

photorefractive keratectomy (PRK);

laser in situ keratomileusis (LASIK);

intracorneal ring segments (Intacs);

infracornea lens surgery;

laser thermal keratoplasty (LTK);

phakic intraocular lenses; and

any combination thereof.

30. The method of claim 28, the second treatment being one selected from the group consisting of:

a prescription for spectacles;

a prescription for a contact lens;

radial keratotomy (RK);

astigmatic keratotomy (AK);

automated lamellar keratoplasty (ALK);

photorefractive keratectomy (PRK);

laser in situ keratomileusis (LASIK);

intracorneal ring segments (Intacs);

infracornea lens surgery;

laser thermal keratoplasty (LTK);

phakic intraocular lenses; and

any combination thereof.

31. The method of claim 25, the multiple sets of neuro-ocular wavefront data comprising:

a first set of preoperative neuro-ocular wavefront data for a first subject, the first set of preoperative neuro-ocular wavefront data representing anomalies in the visual system of the first subject, the first set of preoperative neuro-ocular wavefront data being represented by a first equation, the first equation having a first set of coefficients;

a first set of postoperative neuro-ocular wavefront data for the first subject, the first set of postoperative neuro-ocular wavefront data representing a corrected visual system of the first subject, the visual system of the first subject being corrected by a first treatment, the postoperative neuro-ocular wavefront data being represented by a second equation, the second equation having a second set of coefficients;

a second set of preoperative neuro-ocular wavefront data for a second subject, the second set of preoperative neuro-ocular wavefront data representing anomalies in the visual system of the second subject, the anomalies in the visual system of the second subject being substantially similar to the anomalies in the visual system of the first subject, the second set of preoperative neuro-ocular wavefront data being represented by a third equation, the third equation having a third set of coefficients; and

a second set of postoperative neuro-ocular wavefront data for the second subject, the second set of postoperative neuro-ocular wavefront data representing a corrected visual system of the second subject, the visual system of the second subject being corrected by a second treatment, the second treatment being substantially similar to the first treatment, the postoperative neuro-ocular wavefront data being represented by a fourth equation, the fourth equation having a fourth set of coefficients.

32. The method of claim 31, the first treatment being one selected from the group consisting of:

a prescription for spectacles;

a prescription for a contact lens;

radial keratotomy (RK);

astigmatic keratotomy (AK);

automated lamellar keratoplasty (ALK);

photorefractive keratectomy (PRK);

laser in situ keratomileusis (LASIK);

intracorneal ring segments (Intacs);

intracornea lens surgery;

laser thermal keratoplasty (LTK);

phakic Intraocular lenses; and

any combination thereof.

33. The method of claim 31, the second treatment being one selected from the group consisting of:

prescription for spectacles;

a prescription for a contact lens;

radial keratotomy (RK);

astigmatic keratotomy (AK);

automated lamellar keratoplasty (ALK);

photorefractive keratectomy (PRK);

laser in situ keratomileusis (LASIK);

intracorneal ring segments (Intacs);

intracornea lens surgery;

laser thermal keratoplasty (LTK);

phakic intraocular lenses; and

any combination thereof.

34. The method of claim 25, the multiple sets of neuro-ocular wavefront data comprising:

a first set of preoperative neuro-ocular wavefront data for a first subject, the first set of preoperative neuro-ocular wavefront date representing anomalies in the visual system of the first subject, the first set of preoperative neuro-ocular wavefront data being represented by a first equation, the first equation having a first set of coefficients;

a first set of postoperative neuro-ocular wavefront data for the first subject, the first set of postoperative neuro-ocular wavefront data representing a corrected visual system of the first subject, the postoperative neuro-ocular wavefront data being represented by a second equation, the second equation having a second set of coefficients;

a second set of preoperative neuro-ocular wavefront data for a second subject, the second set of preoperative neuro-ocular wavefront data representing anomalies in the visual system of the second subject, the second set of preoperative neuro-ocular wavefront data being represented by a third equation, the third equation having a third set of coefficients; and

a second set of postoperative neuro-ocular wavefront data for the second subject, the second set of postoperative neuro-ocular wavefront data representing a corrected visual system of the second subject, the postoperative neuro-ocular wavefront data being represented by a fourth equation, the fourth equation having a fourth set of coefficients.

35. The method of claim 34, the step of statistically analyzing the multiple sets of neuro-ocular wavefront data comprising the steps of:

determining a first correction for reducing the anomalies in the visual system of the first subject, the first correction being a function of the first preoperative neuro-ocular wavefront data;

predicting a first result of applying the first correction;

determining a first deviation between the predicted first result and the first set of postoperative neuro-ocular wavefront data;

determining a second correction for reducing the anomalies in the visual system of the second subject, the second correction being a function of the second preoperative neuro-ocular wavefront data;

predicting a second result of applying the second correction; and

determining a second deviation between the predicted second result and the second set of postoperative neuro-ocular wavefront data; and

comparing the first deviation with the second deviation.

36. The method of claim 35, the step of determining the first deviation comprising the step of identifying a mismatch between the first equation and the second equation, the step of determining the second deviation comprising the step of identifying a mismatch between the third equation and the fourth equation.

37. The method of claim 36, each of the equations representing a vision parameter, the vision parameter being selected from the group consisting of:

photopic pupil diameter;

mesopic pupil diameter,

cycloplegic pupil diameter;

near-vision preoperative refraction sphere;

near-vision preoperative refraction cylinder;

near-vision preoperative refraction axis;

far-vision preoperative refraction sphere;

far-vision preoperative refraction cylinder,

far-vision preoperative refraction axis;

near-vision postoperative refraction sphere;

near-vision postoperative refraction cylinder;

near-vision postoperative refraction axis;

far-vision postoperative refraction sphere;

far-vision postoperative refraction cylinder,

far-vision postoperative refraction axis;

left eye;

right eye;

asphericity;

axis angle;

optical zone diameter;

transition zone diameter;

central pachymetry;

spherical aberration as a percent of total root-mean-square (RMS) aberration;

coma as a percent of total RMS aberration;

trefoil as a percent of total RMS aberration;

high-order aberrations as a percent of total RMS aberration;

astigmatism index;

corneal width;

front surface corneal curvature;

back surface corneal curvature;

front-to-back alignment

age;

side of dominant eye;

preference between day vision and night vision;

treatment purpose;

ethnicity;

iris color;

gender,

temperature;

humidity;

microkeratome used for corneal resection;

flap size;

time elapsed from opening of flap to ablation;

surgeon;

estimated total time during opening of flap;

expected flap thickness;

procedure type;

scanner used;

laser used;

day of surgery;

location of flap hinge; and

any combination thereof.

38. A system comprising:

a refractometer configured to interactively obtain multiple sets of neuro-ocular wavefront data, each neuro-ocular wavefront data representing anomalies in the visual system of a corresponding subject, the neuro-ocular wavefront data being represented by an equation, the equation having coefficients;

an information storage device configured to store the multiple sets of neuro-ocular wavefront data at a central repository; and

a processor configured to statistically analyzing the multiple sets of neuro-ocular wavefront data.

39. The system of claim 38, the processor being integrated with the refractometer.

40. The system of claim 38, the processor being located remotely from the refractometer.

41. The system of claim 38, the information storage device being integrated with the refractometer.

42. The system of claim 38, the information storage device being located remotely from the refractometer.

43. The system of claim 38, the processor further being configured to apply a statistical regression across the multiple sets of neuro-ocular wavefront data, the processor further being configured to determine parameters in an algorithm, the algorithm being configured to calculate a correction for anomalies in a visual system of a subject.

44. The system of claim 38, the multiple sets of neuro-ocular wavefront data comprising:

a first set of preoperative neuro-ocular wavefront data for a first subject, the first set of preoperative neuro-ocular wavefront data representing anomalies in the visual system of the first subject, the first set of preoperative neuro-ocular wavefront data being represented by a first equation, the first equation having a first set of coefficients;

a first set of postoperative neuro-ocular wavefront data for the first subject, the first set of postoperative neuro-ocular wavefront data representing a corrected visual system of the first subject, the visual system of the first subject being corrected by a first treatment, the postoperative neuro-ocular wavefront data being represented by a second equation, the second equation having a second set of coefficients;

a second set of preoperative neuro-ocular wavefront data for a second subject,

the

second set of preoperative neuro-ocular wavefront data representing anomalies in the visual system of the second subject, the anomalies in the visual system of the second subject being substantially similar to the anomalies in the visual system of the first subject, the second set of preoperative neuro-ocular wavefront data being represented by a third equation, the third equation having a third set of coefficients; and

a second set of postoperative neuro-ocular wavefront data for the second subject, the second set of postoperative neuro-ocular wavefront data representing a corrected visual system of the second subject, the visual system of the second subject being corrected by a second treatment, the second treatment being substantially different from the first treatment, the postoperative neuro-ocular wavefront data being represented by a fourth equation, the fourth equation having a fourth set of coefficients.

45. The system of claim 38, the multiple sets of neuro-ocular wavefront data comprising:

a first set of preoperative neuro-ocular wavefront data for a first subject, the first set of preoperative neuro-ocular wavefront data representing anomalies in the visual system of the first subject, the first set of preoperative neuro-ocular wavefront data being represented by a first equation, the first equation having a first set of coefficients;

a first set of postoperative neuro-ocular wavefront data for the first subject, the first set of postoperative neuro-ocular wavefront data representing a corrected visual system of the first subject, the visual system of the first subject being corrected by a first treatment, the postoperative neuro-ocular wavefront data being represented by a second equation, the second equation having a second set of coefficients;

a second set of preoperative neuro-ocular wavefront data for a second subject, the second set of preoperative neuro-ocular wavefront data representing anomalies in the visual system of the second subject, the anomalies in the visual system of the second subject being substantially similar to the anomalies in the visual system of the first subject, the second set of preoperative neuro-ocular wavefront data being represented by a third equation, the third equation having a third set of coefficients; and

a second set of postoperative neuro-ocular wavefront data for the second subject, the second set of postoperative neuro-ocular wavefront data representing a corrected visual system of the second subject, the visual system of the second subject being corrected by a second treatment, the second treatment being substantially similar to the first treatment, the postoperative neuro-ocular wavefront data being represented by a fourth equation, the fourth equation having a fourth set of coefficients.

46. The system of claim 38, the multiple sets of neuro-ocular wavefront data comprising:

a first set of preoperative neuro-ocular wavefront data for a first subject, the first set of preoperative neuro-ocular wavefront data representing anomalies in the visual system of the first subject, the first set of preoperative neuro-ocular wavefront data being represented by a first equation, the first equation having a fast set of coefficients;

a first set of postoperative neuro-ocular wavefront data for the first subject, the first set of postoperative neuro-ocular wavefront data representing a corrected visual system of the first subject, the postoperative neuro-ocular wavefront data being represented by a second equation, the second equation having a second set of coefficients;

a second set of preoperative neuro-ocular wavefront data for a second subject, the second set of preoperative neuro-ocular wavefront data representing anomalies in the visual system of the second subject, the second set of preoperative neuro-ocular wavefront data being represented by a third equation, the third equation having a third set of coefficients; and

a second set of postoperative neuro-ocular wavefront data for the second subject, the second set of postoperative neuro-ocular wavefront data representing a corrected visual system of the second subject, the postoperative neuro-ocular wavefront data being represented by a fourth equation, the fourth equation having a fourth set of coefficients.

47. The system of claim 46, the processor further being configured to determine a first correction for reducing the anomalies in the visual system of the first subject, the first correction being a function of the first preoperative neuro-ocular wavefront data, the processor further being configured to predict a first result of applying the first correction, the processor further being configured to determine a first deviation between the predicted first result and the first set of postoperative neuro-ocular wavefront data, the processor further being configured to determine a second correction for reducing the anomalies in the visual system of the second subject, the second correction being a function of the second preoperative neuro-ocular wavefront data, the processor further being configured to predict a second result of applying the second correction, the processor further being configured to determine a second deviation between the predicted second result and the second set of postoperative neuro-ocular wavefront date, the processor further being configured to compare the first deviation with the second deviation.

48. The system of claim 47, the processor further being configured to identify a mismatch between the first equation and the second equation, processor further being configured to identify a mismatch between the third equation and the fourth equation.

49. A system comprising:

means for interactively obtaining multiple sets of neuro-ocular wavefront data, each neuro-ocular wavefront data representing anomalies to the visual system of a corresponding subject, the neuro-ocular wavefront data being represented by an equation, the equation having coefficients;

means for storing the multiple sets of neuro-ocular wavefront data of a central repository; and

means for statistically analyzing the multiple sets of neuro-ocular wavefront data.

50. A computer-readable medium comprising:

computer-readable code adapted to instruct a programmable device to interactively obtain multiple sets of neuro-ocular wavefront data, each neuro-ocular wavefront data representing anomalies in the visual system of a corresponding subject, the neuro-ocular wavefront data being represented by an equation, the equation having coefficients;

computer-readable code adapted to instruct a programmable device to store the multiple sets of neuro-ocular wavefront data at a centre repository; and

computer-readable code adapted to instruct a programmable device to statistically analyze the multiple sets of neuro-ocular wavefront data.

51. A method comprising the steps of obtaining neuro-ocular wavefront data;

and

ascertaining characteristics of a visual system from the obtained neuro-ocular wavefront data.

52. The method of claim 51, further comprising the step of correlating the characteristics of the visual system with vision parameters.

53. A system comprising:

means for obtaining neuro-ocular wavefront data; and

means for ascertaining characteristics of a visual system from the obtained neuro-ocular wavefront data.

54. The system of claim 53, further comprising means for correlating the characteristics of the visual system with vision parameters.

55. A system comprising:

a refractometer configured to obtain neuro-ocular wavefront data; and

a processor configured to ascertain characteristics of a visual system from the obtained neuro-ocular wavefront data.

56. The system of claim 55, the processor further being configured to correlate the characteristics of the visual system with vision parameters.

57. A computer-readable medium comprising:

computer-readable code adapted to instruct a programmable device to obtain neuro-ocular wavefront data; and

computer-readable code adapted to instruct a programmable device to ascertain characteristics of a visual computer-readable medium from the obtained neuro-ocular wavefront data.

58. The computer-readable medium of claim 57, further comprising computer-readable code adapted to instruct a programmable device to correlate the characteristics of the visual system with vision parameters.