April 2009
Volume 50, Issue 13
Free
ARVO Annual Meeting Abstract  |   April 2009
Modeling Corneal Surfaces With Three-Dimensional Basis Functions
Author Affiliations & Notes
  • D. Iskander
    School of Optometry, Queensland Univ of Technology, Kelvin Grove, Australia
  • M. J. Collins
    School of Optometry, Queensland Univ of Technology, Kelvin Grove, Australia
  • B. Davis
    School of Optometry, Queensland Univ of Technology, Kelvin Grove, Australia
  • Footnotes
    Commercial Relationships  D. Iskander, None; M.J. Collins, None; B. Davis, None.
  • Footnotes
    Support  None.
Investigative Ophthalmology & Visual Science April 2009, Vol.50, 5086. doi:
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      D. Iskander, M. J. Collins, B. Davis; Modeling Corneal Surfaces With Three-Dimensional Basis Functions. Invest. Ophthalmol. Vis. Sci. 2009;50(13):5086.

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Abstract

Purpose: : To ascertain the effectiveness of object-centered three-dimensional representations for the modeling of corneal surfaces.

Methods: : Three-dimensional (3D) surface decomposition into series of basis functions including: (i) spherical harmonics, (ii) hemispherical harmonics, and (iii) 3D Zernike polynomials were considered and compared to the traditional viewer-centered representation of two-dimensional (2D) Zernike polynomial expansion for a range of retrospective videokeratoscopic height data from three clinical groups. The data were collected using the Medmont E300 videokeratoscope. The groups included 10 normal corneas with corneal astigmatism less than –0.75 D, 10 astigmatic corneas with corneal astigmatism between –1.07 D and 3.34 D (Mean = –1.83 D, SD = ±0.75 D), and 10 keratoconic corneas. Only data from the right eyes of the subjects were considered.

Results: : All object-centered decompositions led to significantly better fits to corneal surfaces (in terms of the RMS error values) than the corresponding 2D Zernike polynomial expansions with the same number of coefficients, for all considered corneal surfaces, corneal diameters (2, 4, 6, and 8 mm), and model orders (4th to 10th radial orders) The best results (smallest RMS fit error) were obtained with spherical harmonics decomposition which lead to about 22% reduction in the RMS fit error, as compared to the traditional 2D Zernike polynomials. Hemispherical harmonics and the 3D Zernike polynomials reduced the RMS fit error by about 15% and 12%, respectively. Larger reduction in RMS fit error was achieved for smaller corneral diameters and lower order fits.

Conclusions: : Object-centered 3D decompositions provide viable alternatives to traditional viewer-centered 2D Zernike polynomial expansion of a corneal surface. They achieve better fits to videokeratoscopic height data and could be particularly suited to the analysis of multiple corneal measurements, where there can be slight variations in the position of the cornea from one map acquisition to the next.

Keywords: cornea: basic science • computational modeling • refractive surgery: corneal topography 
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