Optimization of laser therapy

1. A computer-implemented method for laser treatment of an eye of a patient performed by one or more computer processors, the method comprising:

receiving, using the one or more computer processors, a set of parameters of a laser treatment and a desired lesion pattern density, wherein the set of parameters of the laser treatment comprises one or more parameters of a laser treatment beam;

determining, using the one or more computer processors, an estimated size of a lesion to be generated by the laser treatment beam,

wherein the estimated size of the lesion is determined by the one or more computer processors using reference data as input,

wherein the reference data comprises pairs of sets of parameters of laser treatments and corresponding estimated lesion sizes, and

wherein the estimated size of the lesion is a function of the received set of parameters of the laser treatment; and

determining, using the one or more computer processors, a recommended pattern of laser treatment beam spots that are arranged to produce a plurality of lesions in the eye of the patient that result in the desired lesion pattern density,

wherein the recommended pattern of laser treatment beam spots is determined by the one or more computer processors using the determined estimated size of the lesion and the received desired lesion pattern density as input.

2. The method of claim 1 , further comprising receiving, using the one or more computer processors, a size of a target treatment area, wherein determining the recommended pattern of laser treatment beam spots is further based on the size of the target treatment area, and wherein an application of the laser treatment beam to the eye of the patient based on the recommended pattern of laser treatment beam spots will cause a plurality of lesions to form in the eye over an area having a size corresponding to the size of the target treatment area.

3. The method of claim 1 , wherein the set of parameters of the laser treatment further comprises one or more of a contact lens type, a magnification factor of a contact lens, and a desired clinical grade of the lesion.

4. The method of claim 1 , wherein the set of parameters of the laser treatment further comprises a desired clinical grade of the lesion, and wherein the desired clinical grade of the lesion comprises a sub-visible lesion grade.

5. The method of claim 1 , wherein determining the recommended pattern of laser treatment beam spots comprises:

determining, using the one or more computer processors, a recommended number of laser treatment beam spots based at least in part on the determined estimated size of the lesion and the desired lesion pattern density.

6. The method of claim 1 , wherein determining the recommended pattern of laser treatment beam spots comprises:

determining, using the one or more computer processors, a recommended spacing between at least two laser treatment beam spots based at least in part on the determined estimated size of the lesion and the desired lesion pattern density.

7. The method of claim 1 , wherein determining the estimated size of the lesion comprises interpolating, using the one or more computer processors, the estimated size of the lesion based on at least a portion of the reference data if values of the set of parameters of the laser treatment are excluded from the reference data.

8. The method of claim 1 , further comprising applying the laser treatment beam to the eye of the patient based on the recommended pattern of laser treatment beam spots.

9. The method of claim 1 , wherein the laser treatment beam comprises a patterned laser treatment beam.

10. The method of claim 1 , wherein the reference data is stored in a reference database, and wherein the method further comprises:

receiving, using the one or more computer processors, updated reference data; and

storing, using the one or more computer processors, the updated reference data in the reference database.

11. The method of claim 1 , wherein the one or more parameters of the laser treatment beam comprises one or more of an aerial beam size of the laser treatment beam and a pulse duration of the laser treatment beam.

12. The method of claim 1 , further comprising:

receiving, using the one or more computer processors, a size of a target treatment area; and

wherein determining, using the one or more computer processors, the recommended pattern of laser treatment beam spots further comprises:

determining, using the one or more computer processors, a recommended number of laser treatment beam spots and a recommended spacing between laser treatment beam spots,

wherein the recommended number of laser treatment beam spots and the recommended spacing between laser treatment beam spots are determined by the one or more computer processors using the determined estimated size of the lesion, the received desired lesion pattern density, and the received size of the target treatment area as input.

13. A system for laser treatment of an eye of a patient, the system comprising:

a reference database comprising reference data, wherein the reference data comprises pairs of sets of parameters of laser treatments and corresponding estimated lesion sizes;

one or more computer processors operable to:

receive a set of parameters of a laser treatment, wherein the set of parameters of the laser treatment comprises one or more parameters of a laser treatment beam;

determine an estimated size of a lesion to be generated by the laser treatment beam,

wherein the estimated size of the lesion is determined using the reference data as input,

wherein the estimated size of the lesion is a function of the received set of parameters of the laser treatment;

receive a desired lesion pattern density; and

determine a recommended pattern of laser treatment beam spots that are arranged to produce a plurality of lesions in the eye of the patient that result in the desired lesion pattern density,

wherein the recommended pattern of laser treatment beam spots is determined using the determined estimated size of the lesion and the received desired lesion pattern density as input.

14. The system of claim 13 , wherein the one or more processors are further operable to receive a size of a target treatment area, wherein determining the recommended pattern of laser treatment beam spots is further based on the size of the target treatment area, and wherein an application of the laser treatment beam to the eye of the patient based on the recommended pattern of laser treatment beam spots will cause a plurality of lesions to form in the eye over an area having a size corresponding to the size of the target treatment area.

15. The system of claim 13 , further comprising:

a laser energy source configured to generate the laser treatment beam;

a controller configured to apply the laser treatment beam based on the recommended pattern of laser treatment beam spots.

16. The system of claim 13 , wherein the set of parameters of the laser treatment further comprises one or more of a contact lens type, a magnification factor of a contact lens, and a desired clinical grade of the lesion.

17. The system of claim 13 , wherein the set of parameters of the laser treatment further comprises a desired clinical grade of the lesion, and wherein the desired clinical grade of the lesion comprises a sub-visible lesion grade.

18. The system of claim 13 , wherein determining the recommended pattern of laser treatment beam spots comprises:

determining a recommended number of laser treatment beam spots based at least in part on the determined estimated size of the lesion and the lesion pattern density.

19. The system of claim 13 , wherein determining the recommended pattern of laser treatment beam spots comprises:

determining a recommended spacing between at least two laser treatment beam spots based at least in part on the determined estimated size of the lesion and the lesion pattern density.

20. The system of claim 13 , wherein determining the estimated size of the lesion comprises interpolating the estimated size of the lesion based on at least a portion of the reference data if values of the set of parameters of the laser treatment are excluded from the reference data.

21. The system of claim 13 , wherein the laser treatment beam comprises a patterned laser treatment beam.

22. The system of claim 13 , wherein the one or more processors are further operable to:

receive updated reference data; and

store the updated reference data in the reference database.

23. The system of claim 13 , wherein the one or more parameters of the laser treatment beam comprises one or more of an aerial beam size of the laser treatment beam and a pulse duration of the laser treatment beam.

24. The system of claim 13 , wherein the one or more computer processors are further operable to:

receive a size of a target treatment area; and

wherein determining the recommended pattern of laser treatment beam spots further comprises:

determining a recommended number of laser treatment beam spots and a recommended spacing between laser treatment beam spots,

wherein the recommended number of laser treatment beam spots and the recommended spacing between laser treatment beam spots are determined using the determined estimated size of the lesion, the received desired lesion pattern density, and the received size of the target treatment area as input.

25. A non-transitory computer-readable storage medium comprising computer-executable instructions executable by one or more computer processors for laser treatment of an eye of a patient, the computer-executable instructions comprising instructions for:

receiving a set of parameters of a laser treatment and a desired lesion pattern density, wherein the set of parameters of the laser treatment comprises one or more parameters of a laser treatment beam;

determining an estimated size of a lesion to be generated by the laser treatment beam,

wherein the estimated size of the lesion is determined using reference data as input,

wherein the reference data comprises pairs of sets of parameters of laser treatments and corresponding estimated lesion sizes, and

wherein the estimated size of the lesion is a function of the received set of parameters of the laser treatment; and

determining a recommended pattern of laser treatment beam spots that are arranged to produce a plurality of lesions in the eye of the patient that result in the desired lesion pattern density,

wherein the recommended pattern of laser treatment beam spots is determined using the determined estimated size of the lesion and the received desired lesion pattern density as input.

26. The non-transitory computer-readable storage medium of claim 25 further comprising instructions for receiving a size of a target treatment area, wherein determining the recommended pattern of laser treatment beam spots is further based on the size of the target treatment area, and wherein an application of the laser treatment beam to the eye of the patient based on the recommended pattern of laser treatment beam spots will cause a plurality of lesions to form in the eye over an area having a size corresponding to the size of the target treatment area.

27. The non-transitory computer-readable storage medium of claim 25 , wherein the set of parameters of the laser treatment further comprises one or more of a contact lens type, a magnification factor of a contact lens, and a desired clinical grade of the lesion.

28. The non-transitory computer-readable storage medium of claim 25 , wherein the set of parameters of the laser treatment further comprises a desired clinical grade of the lesion, and wherein the desired clinical grade of the lesion comprises a sub-visible lesion grade.

29. The non-transitory computer-readable storage medium of claim 25 , wherein determining the recommended pattern of laser treatment beam spots comprises: determining a recommended number of laser treatment beam spots based at least in part on the determined estimated size of the lesion and the desired lesion pattern density.

30. The non-transitory computer-readable storage medium of claim 25 , wherein determining the recommended pattern of laser treatment beam spots comprises:

determining a recommended spacing between at least two laser treatment beam spots based at least in part on the determined estimated size of the lesion and the desired lesion pattern density.

31. The non-transitory computer-readable storage medium of claim 25 , wherein determining the estimated size of the lesion comprises interpolating the estimated size of the lesion based on at least a portion of the reference data if values of the set of parameters of the laser treatment are excluded from the reference data.

32. The non-transitory computer-readable storage medium of claim 25 , wherein the laser treatment beam comprises a patterned laser treatment beam.

33. The non-transitory computer-readable storage medium of claim 25 , wherein the reference data is stored in a reference database, and wherein the computer-executable instructions further comprises instructions for:

receiving updated reference data; and

storing the updated reference data in the reference database.

34. The non-transitory computer-readable storage medium of claim 25 , wherein the one or more parameters of the laser treatment beam comprises one or more of an aerial beam size of the laser treatment beam and a pulse duration of the laser treatment beam.

35. The non-transitory computer-readable storage medium of claim 25 , further comprising instructions for:

receiving a size of a target treatment area; and

wherein determining the recommended pattern of laser treatment beam spots further comprises:

determining a recommended number of laser treatment beam spots and a recommended spacing between laser treatment beam spots,

wherein the recommended number of laser treatment beam spots and the recommended spacing between laser treatment beam spots are determined using the determined estimated size of the lesion, the received desired lesion pattern density, and the received size of the target treatment area as input.