Method and system for measuring an eye
There is provided a system, apparatus and methods for developing laser systems that can create a precise predetermined capsulotomy. The systems, apparatus and methods further provide laser systems that reduce the patient-to-patient variability and doctor-to-doctor variability associated with hand held apparatus for performing capsulorhexis and capsulotomies. There is further provided a precise predetermined shot pattern and shaped capsulotomy that is based at least in part on the shape of an IOL and in particular an accommodating IOL.
1. A system for providing accurate measurements of an eye, the system comprising:
a light source that generates light;
a glass plate positioned between said light source and an eye, wherein said light passes through said glass plate and enters into said eye and impinges on a lens of said eye;
an imaging device that receives 1) a first set of light beams reflected from a bottom surface of said glass plate positioned nearest said eye and 2) a second set of light beams reflected from said lens and generates image information therefrom; and
means for receiving said image information and processing said image information so that an image of said glass plate is generated and a measurement of said lens is generated.
2. The system of claim 1 , wherein said light source comprises a slit lamp.
3. A system for providing accurate measurements of an eye, the system comprising:
a light source that generates light;
a glass plate positioned between said light source and an eye, wherein said light passes through said glass plate and enters into said eye and impinges on a lens of said eye, wherein said glass plate has a thickness of 1.57 mm and an index of refraction of 1.57;
an imaging device that receives 1) a first set of light beams reflected from a bottom surface of said glass plate positioned nearest said eye and 2) a second set of light beams reflected from said lens and generates image information therefrom; and
means for receiving said image information and processing said image information so that a measurement of said lens is generated.
4. A system for providing accurate measurements of an eye, the system comprising:
a light source that generates light;
a glass plate positioned between said light source and an eye, wherein said light passes through said glass plate and enters into said eye and impinges on a lens of said eye;
an imaging device that receives 1) a first set of light beams reflected from a bottom surface of said glass plate positioned nearest said eye and 2) a second set of light beams reflected from said lens and generates image information therefrom; and
means for receiving said image information and processing said image information so that a measurement of said lens is generated, wherein said light is directed through a theoretical planar surface and then passes through said glass plate; and wherein said light reflected from said lens intersects said planar surface along a curve that represents curvature of a portion of said lens from which said light is reflected from said lens.
5. The system of claim 4 , wherein said means for receiving said image information and processing said image information determines an apex of said lens.
6. The system of claim 4 , wherein said means for receiving said image information and processing said image information determines said curvature based upon application of a Random Sample Consensus algorithm to estimate with great certainty parameters of a mathematical model from for a shape and position of said lens.
7. The system of claim 6 , wherein said image information comprises an array of pixels representing light from said lens and said curvature is determined by selecting which pixels to include in the determination of curvature and then to estimate the curvature based on said pixels selected.
8. A system for providing accurate measurements of an eye, the system comprising:
a light source that generates light;
a glass plate positioned between said light source and an eye, wherein said light passes through said glass plate and enters into said eye and impinges on a lens of said eye;
an imaging device that receives 1) a first set of light beams reflected from a bottom surface of said glass plate positioned nearest said eye and 2) a second set of light beams reflected from said lens and generates image information therefrom; and
means for receiving said image information and processing said image information so that a measurement of said lens is generated, wherein said bottom surface applanates a cornea of said eye.
9. The system of claim 8 , wherein said light is directed through a theoretical planar surface and then passes through said glass plate; and wherein said light reflected from said lens intersects said planar surface along a curve that represents curvature of a portion of said lens from which said light is reflected from said lens.
10. The system of claim 8 , wherein said means for receiving said image information and processing said image information determines an apex of said lens.
11. The system of claim 8 , wherein said means for receiving said image information and processing said image information determines said curvature based upon application of a Random Sample Consensus algorithm to estimate with great certainty parameters of a mathematical model from for a shape and position of said lens.
12. The system of claim 11 , wherein said image information comprises an array of pixels representing light from said lens and said curvature is determined by selecting which pixels to include in the determination of curvature and then to estimate the curvature based on said pixels selected.
13. A method for providing accurate measurements of an eye, the method comprising:
generating light from a light source;
positioning a glass plate between said light source and an eye, wherein said light passes through said glass plate and enters into said eye and impinges on a lens of said eye;
generating image information from 1) a first set of light beams reflected from a bottom surface of said glass plate positioned nearest said eye and 2) a second set of light beams reflected from said lens and generates image information; and
processing said image information so that an image of said glass plate is generated and a measurement of said lens is generated.
14. The method of claim 13 , wherein said light source comprises a slit lamp.
15. A method for providing accurate measurements of an eye, the system comprising:
generating light from a light source;
positioning a glass plate between said light source and an eye, wherein said glass plate has a thickness of 1.57 mm and an index of refraction of 1.57, and wherein said light passes through said glass plate and enters into said eye and impinges on a lens of said eye;
generating image information from 1) a first set of light beams reflected from a bottom surface of said glass plate positioned nearest said eye and 2) a second set of light beams reflected from said lens and generates image information; and
processing said image information so that a measurement of said lens is generated.
16. A method for providing accurate measurements of an eye, the system comprising:
generating light from a light source;
positioning a glass plate between said light source and an eye, wherein said light passes through said glass plate and enters into said eye and impinges on a lens of said eye;
generating image information from 1) a first set of light beams reflected from a bottom surface of said glass plate positioned nearest said eye and 2) a second set of light beams reflected from said lens and generates image information; and
processing said image information so that a measurement of said lens is generated, wherein said light is directed through a theoretical planar surface and then passes through said glass plate; and wherein said light reflected from said lens intersects said planar surface along a curve that represents curvature of a portion of said lens from which said light is reflected from said lens.
17. The method of claim 16 , wherein said processing comprises determining an apex of said lens.
18. The method of claim 16 , wherein said processing comprises determining said curvature based upon application of a Random Sample Consensus algorithm to estimate with great certainty parameters of a mathematical model from for a shape and position of said lens.
19. The method of claim 18 , wherein said image information comprises an array of pixels representing light from said lens and said curvature is determined by selecting which pixels to include in the determination of curvature and then to estimate the curvature based on said pixels selected.
20. A method for providing accurate measurements of an eye, the system comprising:
generating light from a light source;
positioning a glass plate between said light source and an eye, wherein said light passes through said glass plate and enters into said eye and impinges on a lens of said eye;
generating image information from 1) a first set of light beams reflected from a bottom surface of said glass plate positioned nearest said eye and 2) a second set of light beams reflected from said lens and generates image information; and
processing said image information so that a measurement of said lens is generated, wherein said bottom surface applanates a cornea of said eye.
21. The method of claim 20 , wherein said light is directed through a theoretical planar surface and then passes through said glass plate; and wherein said light reflected from said lens intersects said planar surface along a curve that represents curvature of a portion of said lens from which said light is reflected from said lens.
22. The method of claim 21 , wherein said processing comprises determining an apex of said lens.
23. The method of claim 21 , wherein said processing comprises determining said curvature based upon application of a Random Sample Consensus algorithm to estimate with great certainty parameters of a mathematical model from for a shape and position of said lens.
24. The method of claim 23 , wherein said image information comprises an array of pixels representing light from said lens and said curvature is determined by selecting which pixels to include in the determination of curvature and then to estimate the curvature based on said pixels selected.