METHOD AND APPARATUS FOR AUTOMATED PLACEMENT OF SCANNED LASER CAPSULORHEXIS INCISIONS

• US 20170027756A1
• Filed: 10/14/2016
• Published: 02/02/2017
• Est. Priority Date: 01/22/2010
• Status: Active Grant

• Current Assignee: AMO Development LLC (Johnson & Johnson)
• Original Assignee: OptiMedica Corporation (Johnson & Johnson)
• Inventors: Angeley, David G., Gooding, Phillip H., Woodley, Bruce, Marcellino, George R.
• Granted Patent: US 10,449,091 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A61B 3/102 for optical coherence tomography [OCT]
• CPC Class Codes: A61B 3/107 for determining the shape or measuring the curvature of the cornea
• CPC Class Codes: A61B 3/145 by video means
• CPC Class Codes: A61B 5/0066 Optical coherence imaging
• CPC Class Codes: A61F 2009/00851 Optical coherence topography [OCT]
• CPC Class Codes: A61F 2009/00865 Sclera
• CPC Class Codes: A61F 2009/0087 Lens
• CPC Class Codes: A61F 2009/00872 Cornea
• CPC Class Codes: A61F 2009/00876 Iris
• CPC Class Codes: A61F 2009/00889 Capsulotomy
• CPC Class Codes: A61F 2009/00897 Scanning mechanisms or algorithms
• CPC Class Codes: A61F 9/008 using laser
• CPC Class Codes: A61F 9/00825 for photodisruption
• CPC Class Codes: A61F 9/0084 Laser features or special beam parameters therefor
• CPC Class Codes: A61F 9/009 Auxiliary devices making contact with the eyeball and coupling in laser light, e.g. goniolenses apparatus for eye examination A61B3/0008
• CPC Class Codes: G06T 2207/10101 Optical tomography; Optical coherence tomography [OCT]
• CPC Class Codes: G06T 2207/30041 Eye; Retina; Ophthalmic
• CPC Class Codes: G06T 7/0012 Biomedical image inspection
• CPC Class Codes: G06T 7/13 Edge detection
• CPC Class Codes: G06T 7/149 involving deformable models, e.g. active contour models

Abstract

Systems and methods are described for cataract intervention. In one embodiment a system comprises a laser source configured to produce a treatment beam comprising a plurality of laser pulses; an integrated optical system comprising an imaging assembly operatively coupled to a treatment laser delivery assembly such that they share at least one common optical element, the integrated optical system being configured to acquire image information pertinent to one or more targeted tissue structures and direct the treatment beam in a 3-dimensional pattern to cause breakdown in at least one of the targeted tissue structures; and a controller operatively coupled to the laser source and integrated optical system, and configured to adjust the laser beam and treatment pattern based upon the image information, and distinguish two or more anatomical structures of the eye based at least in part upon a robust least squares fit analysis of the image information.

Claims

1-15. -15. (canceled)

16. A system for cataract surgery on an eye of a patient, comprising:

a. a laser source configured to produce a treatment beam comprising a plurality of laser pulses;

b. an integrated optical system comprising an Optical Coherence Tomographer (OCT) coupled to a treatment laser delivery assembly such that the OCT and the treatment laser delivery assembly share at least one common optical element, the integrated optical system being configured to acquire image information pertinent to one or more targeted tissue structures and direct the treatment beam in a 3-dimensional pattern to cause breakdown in at least one of the targeted tissue structures;

c. a patient support configured to maintain the eye of the patient within a range of the optical system; and

d. a controller operatively coupled to the laser source and integrated optical system, and configured to;

1) adjust the laser beam and treatment pattern based upon the image information,

2) operate the OCT to perform one or more A-scans of at least one anatomical structure of the eye at each of a plurality of XY locations, thereby obtaining image information of a predetermined range of Z locations at each of the plurality of XY locations;

3) identify a plurality of candidate edge locations in the form of XYZ triples by identifying either a first non-zero pixel are a last non-zero pixel in each predetermined range of Z locations for each of the plurality of XY locations; and

4) fit a mathematical surface model to the candidate edge locations, thereby identifying a boundary of the anatomical structure.

17. The system of claim 16, wherein the at least one anatomical structure comprises a cornea.

18. The system of claim 16, wherein the at least one anatomical structure comprises a sclera.

19. The system of claim 16, wherein the at least one anatomical structure comprises a limbus.

20. The system of claim 16, wherein the at least one anatomical structure comprises an iris.

21. The system of claim 16, wherein the at least one anatomical structure comprises a lens.

22. The system of claim 16, wherein the at least one anatomical structure comprises a lens capsule.

23. The system of claim 16, wherein the controller is configured to conduct a series of three or more least-squares fit analyses, and to separately process the image information to identify a first set of candidate edge locations and subsequent additional candidate edge locations so that a greater number of candidate edge locations are used in each successive least-squares fit analysis.

24. The system of claim 16, wherein the mathematical surface model is a spherical surface.

25. The system of claim 16, wherein the mathematical surface model is an aspherical surface.

26. The system of claim 16, wherein the controller is further configured to locate two or more boundaries between a corresponding three or more anatomical structures of the eye.

27. The system of claim 26, wherein the boundaries include the intersection between a cornea of the eye and a sclera of the eye.

28. The system of claim 26, wherein the boundaries include the intersection between a cornea of the eye and an iris of the eye.

29. The system of claim 26, wherein the boundaries include the intersection between a lens of the eye and an iris of the eye.

30. The system of claim 16, wherein the controller is configured to utilize rejected candidate edge locations of a least-squares fit analysis to identify an anatomical structure of the eye.

31. The system of claim 16, wherein the second boundary surface portion completely surrounds the first boundary surface portion.

32. The system of claim 16, wherein the image information is reduced to include on the candidate edge locations prior to fitting the mathematical surface.

33. The system of claim 16, wherein a candidate edge location is identified as the first non-zero pixel when the anatomical structure to be detected is above a supporting structure of the anatomical feature.

34. The system of claim 16, wherein a candidate edge location is identified as the last non-zero pixel when the anatomical structure to be detected is below a supporting structure of the anatomical feature.