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Y.–L. Chen, J.W. L. Lewis, B. Tan, K. Baker, M. Wang, L. Shi; Digital Eye Bank . Invest. Ophthalmol. Vis. Sci. 2006;47(13):1188.
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Anatomically accurate schematic eye models that reproduce optical characteristics are very useful in vision science research and industrial applications. They are used to assist designs of ophthalmic/visual optics, provide simulations, predict the effects of refractive surgery or implants, and understand quantitatively the role of optical components for various applications. Using measured information such as wavefront aberration, topography, manifest refraction, VA, MRI, or ultrasound from an individual eye, a customized, computer–based eye model can be constructed. Digital eye banks that contain large populations of customized eye models can provide dramatic value for applications related to public health. These applications include the repeated use of these data in performing virtual clinical trials for ocular instruments’ evaluation, thereby reducing testing on real human eyes. It also provides valuable database for scientific research and medical training.
To prepare the construction of a digital eye bank that contains large populations of customized eye models. Specifically, to obtain the statistical data of ocular parameters that may be missing from the sampled individual eye but are essential to the construction of the customized model.
A review of 40+ recent published research reports of ocular parameters was performed. Specifically, the demographic distributions of axial length (AL), asphericity (Q) and radius of curvature (CR) of cornea, retinal curvature(R), and eyes’ 3rd and 4th order aberrations were analyzed. The correlations between these parameters and the eye’s ammetropic condition, age, gender, and race are also examined.
The probability distribution functions (PDFs) of mentioned ocular parameters are obtained. The mean AL and shape factor (AL/CR) exhibit nominal linear correlations to ammetropic condition over a range from –20 to +10 D. No significant differences in the PDFs along the 2 mean values lines are observed. Gender difference causes shifts of 0.25 mm in AL and 0.15 mm in CR from the formulated lines. The cornea asphericity, Q, has a mean of –0.3 with standard deviation of 0.25 for adults. The mean values for RMS 3rd– and 4th –order aberrations increase with the pupil diameter with power to the 2.4 and 3.7 respectively.
This paper provides the distributions of major ocular parameters for constructing a digital eye bank, which can be extremely valuable for public health applications.
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