Analyzing the dynamic wavefront aberrations in the human eye

The optics of the human eye are not static in steady viewing conditions and exhibit microfluctuations. Previous methods used for analyzing dynamic changes in the eye's optics include simple Fourier-transform-based methods, which have been used in studies of the eye's accommodation response. However, dedicated tools for the analysis of dynamic wavefront aberrations have not been reported. We propose a set of signal processing tools, the combination of which uncovers aspects of the dynamics of eye's optical aberrations which were hidden from conventional analysis techniques. The methodology includes extraction of artifacts from potentially significant eye movements, filtering, optimal parametric signal modeling, and frequency and time-frequency representations. The exposition of the techniques and their advantages over traditional techniques is illustrated for real dynamic eye wavefront aberration measurements.

[1]  J R Pugh,et al.  The use of coherence functions in the study of ocular mechanisms. , 1995, Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians.

[2]  Gutti Jogesh Babu.  Bootstrap Techniques for Signal Processing , 2005, Technometrics.

[3]  G. Westheimer,et al.  Fluctuations of accommodation under steady viewing conditions , 1959, The Journal of physiology.

[4]  D. R. Iskander,et al.  Optimal modeling of corneal surfaces with Zernike polynomials , 2001, IEEE Transactions on Biomedical Engineering.

[5]  Mosa'ad A. Al-Abdulmunem,et al.  Spontaneous blink rate of a normal population sample , 1999 .

[6]  Junzhong Liang,et al.  Objective measurement of wave aberrations of the human eye with the use of a Hartmann-Shack wave-front sensor. , 1994, Journal of the Optical Society of America. A, Optics, image science, and vision.

[7]  N. A. Coulter,et al.  Respiratory sinus arrhythmia: a frequency dependent phenomenon , 1964 .

[8]  David A. Atchison,et al.  Measurement of monochromatic ocular aberrations of human eyes as a function of accommodation by the howland aberroscope technique , 1995, Vision Research.

[9]  A. W. M. van den Enden,et al.  Discrete Time Signal Processing , 1989 .

[10]  W. Southwell.  Wave-front estimation from wave-front slope measurements , 1980 .

[11]  H. Dick,et al.  Dynamische Aberrometrie während der Akkommodation phaker Augen sowie Augen mit potenziell akkommodativer Intraokularlinse , 2002, Der Ophthalmologe.

[12]  A. Medl,et al.  Time Frequency and Wavelets in Biomedical Signal Processing , 1998, IEEE Engineering in Medicine and Biology Magazine.

[13]  Mark R. Morelande,et al.  Formulation and comparison of two detectors of independent timing jitter in a complex harmonic , 2003, IEEE Trans. Signal Process..

[14]  Sergio Cerutti,et al.  Cardiovascular autonomic rhythms in spontaneous pupil fluctuations , 1997, Computers in Cardiology 1997.

[15]  Robert J. Marks,et al.  The use of cone-shaped kernels for generalized time-frequency representations of nonstationary signals , 1990, IEEE Trans. Acoust. Speech Signal Process..

[16]  Neal,et al.  Temporal Analysis of Ocular Aberrations Using a Shack-Hartmann aberrometer , 2002 .

[17]  Steven Kay,et al.  Modern Spectral Estimation: Theory and Application , 1988 .

[18]  V. Mahajan.  Optical Imaging and Aberrations , 1998 .

[19]  J Schwider,et al.  Wave-front reconstruction with a shack-hartmann sensor with an iterative spline fitting method. , 2000, Applied optics.

[20]  R A Applegate,et al.  Optics of aberroscopy and super vision , 2001, Journal of cataract and refractive surgery.

[21]  Campbell Fw,et al.  The accommodation response of the human eye. , 1959 .

[22]  T. Tokoro,et al.  Influence of Spatial Distribution with Blur on Fluctuations in Accommodation , 1998, Optometry and vision science : official publication of the American Academy of Optometry.

[23]  J. Rissanen,et al.  Modeling By Shortest Data Description* , 1978, Autom..

[24]  H. Akaike.  A new look at the statistical model identification , 1974 .

[25]  P Artal,et al.  Dynamics of the eye's wave aberration. , 2001, Journal of the Optical Society of America. A, Optics, image science, and vision.

[26]  L N Thibos,et al.  Clinical applications of the Shack-Hartmann aberrometer. , 1999, Optometry and vision science : official publication of the American Academy of Optometry.

[27]  A Bradley,et al.  Optical and visual impact of tear break-up in human eyes. , 2000, Investigative ophthalmology & visual science.

[28]  Mark R. Morelande,et al.  Modeling of corneal surfaces with radial polynomials , 2002, IEEE Transactions on Biomedical Engineering.

[29]  W N Charman,et al.  Fluctuations in accommodation: a review , 1988, Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians.

[30]  Kazuo Yana,et al.  An Evidence Of Blood Pressure And Respiration Originated Variations In Fluctuations Of Pupil Diameter Of The Human Eye , 1991, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society Volume 13: 1991.

[31]  F. Campbell,et al.  The accommodation response of the human eye. , 1959, The British journal of physiological optics.

[32]  Joanne Wood,et al.  Microfluctuations of steady-state accommodation and the cardiopulmonary system , 1995, Vision Research.

[33]  Mark R. Morelande,et al.  Estimating the dynamics of aberration components in the human eye , 2001, Proceedings of the 11th IEEE Signal Processing Workshop on Statistical Signal Processing (Cat. No.01TH8563).

[34]  Chris A. Johnson,et al.  Steady-state and dynamic response properties of the Mandelbaum effect , 1991, Vision Research.

[35]  B. Gilmartin,et al.  Arterial pulse modulates steady-state ocular accommodation. , 1990, Current eye research.

[36]  Khaled H. Hamed,et al.  Time-frequency analysis , 2003 .

[37]  R. Noll.  Zernike polynomials and atmospheric turbulence , 1976 .

[38]  Boualem Boashash,et al.  Time-Frequency Signal Analysis and Processing , 2002 .

[39]  J. Shao.  Bootstrap Model Selection , 1996 .