BRIEF DESCRIPTION OF THE DRAWINGS
FIG. 1 illustrates a laser ablation system according to an embodiment of the present invention.
FIG. 2 illustrates a simplified computer system according to an embodiment of the present invention.
FIG. 3 illustrates a wavefront measurement system according to an embodiment of the present invention.
FIG. 3A illustrates another wavefront measurement system according to another embodiment of the present invention.
FIG. 4 schematically illustrates a simplified set of modules that carry out one method of the present invention.
FIG. 5 is a flow chart that schematically illustrates a method of using a Fourier transform algorithm to determine a corneal ablation treatment program according to one embodiment of the present invention.
FIG. 6 schematically illustrates a comparison of a direct integration reconstruction, a 6th order Zernike polynomial reconstruction, a 10th order Zernike polynomial reconstruction, and a Fourier transform reconstruction for a surface having a +2 ablation on a 6 mm pupil according to one embodiment of the present invention.
FIG. 7 schematically illustrates a comparison of a direct integration reconstruction, a 6th order Zernike polynomial reconstruction, a 10th order Zernike polynomial reconstruction, and a Fourier transform reconstruction for a presbyopia surface according to one embodiment of the present invention.
FIG. 8 schematically illustrates a comparison of a direct integration reconstruction, a 6th order Zernike polynomial reconstruction, a 10th order Zernike polynomial reconstruction, and a Fourier transform reconstruction for another presbyopia surface according to one embodiment of the present invention.
FIG. 9 illustrates a difference in a gradient field calculated from a reconstructed wavefront from a Fourier transform reconstruction algorithm (F Gradient), Zernike polynomial reconstruction algorithm (Z Gradient), a direct integration reconstruction algorithm (D Gradient) and a directly measured wavefront according to one embodiment of the present invention.
FIG. 10 illustrates intensity plots of reconstructed wavefronts for Fourier, 10th Order Zernike and Direct Integration reconstructions according to one embodiment of the present invention.
FIG. 11 illustrates intensity plots of reconstructed wavefronts for Fourier, 6th Order Zernike and Direct Integration reconstructions according to one embodiment of the present invention.
FIG. 12 illustrates an algorithm flow chart according to one embodiment of the present invention.
FIG. 13 illustrates surface plots of wavefront reconstruction according to one embodiment of the present invention.
FIG. 14 illustrates surface plots of wavefront reconstruction according to one embodiment of the present invention.
FIG. 15 illustrates a comparison of wavefront maps with or without missing data according to one embodiment of the present invention.
FIG. 16 illustrates a Zernike pyramid that displays the first four orders of Zernike polynomials according to one embodiment of the present invention.
FIG. 17 illustrates a Fourier pyramid corresponding to the first two orders of Fourier series according to one embodiment of the present invention.
FIG. 19 illustrates a Taylor pyramid that contains the first four orders of Taylor monomials according to one embodiment of the present invention.
FIG. 20 illustrates a comparison between an input wave-front contour map and the calculated or wave-front Zernike coefficients from a random wavefront sample according to one embodiment of the present invention.
FIG. 21 illustrates input and calculated output 6th order Zernike coefficients using 2000 discrete points in a reconstruction with Fourier transform according to one embodiment of the present invention.
FIG. 22 illustrates speed comparisons between various algorithms according to one embodiment of the present invention.
FIG. 23 illustrates an RMS reconstruction error as a function of dk according to one embodiment of the present invention.
FIG. 24 illustrates an exemplary Fourier to Zernike Process for wavefront reconstruction using an iterative Fourier approach according to one embodiment of the present invention.
FIG. 25 illustrates an exemplary Fourier to Zernike subprocess according to one embodiment of the present invention.
FIG. 26 illustrates an exemplary iterative approach for determining an ith Zernike polynomial according to one embodiment of the present invention.
FIG. 27 depicts wavefront reconstruction data according to one embodiment of the present invention.
FIG. 28 depicts wavefront reconstruction data according to one embodiment of the present invention.
FIG. 29 shows a coordinate system for a hexagonal pupil according to one embodiment of the present invention.
FIG. 30 illustrates isometric, interferometric, and PSF plots of orthonormal hexagonal and circle polynomials according to one embodiment of the present invention.
FIG. 31 provides an exemplary data flow chart according to one embodiment of the present invention.
FIG. 32 depicts wavefront reconstruction data according to one embodiment of the present invention.