NDLI: An exact skew-ray-tracing method for theoretically predicting the power of intraocular lenses

Content Provider	IEEE Xplore Digital Library
Author	Sugawara, A. Wakabayashi, K. Hata, N. Oshika, T. Dohi, T.
Copyright Year	2002
Description	Author affiliation: Graduate Sch. of Eng., Univ. of Tokyo, Japan (Sugawara, A.)
Abstract	Computer-simulated anatomically exact optical skew-ray tracing is used as a new method of predicting the power required for intraocular lenses. This method predicts the post-operative refractive power of the eye according to the results of preoperative measurements, that is, the curvature or the anterior and posterior cornea surfaces, the thickness and width of the cornea, the thickness and the curvature of the anterior and posterior surfaces of the intraocular lens, and the axial length of the eye. It is experimentally shown that the new method performs better than SRK/T and SRK-II, which are currently in widespread use as calculation formulae in clinical ophthalmology. Namely, the mean absolute refractive error of the method assessed in the feasibility study (N=10) is 0.2928 +/- 0.2453 diopter (D), where the equivalent errors are 0.4790 +/- 0.3385 D for SRK/T and 0.9174 +/- 0.4053 D for SRK-II. The new method uses an exact model of anatomical structure and can accurately simulate the path of light rays in the eye, while SRK-II/T relies on certain experimental modifications, abbreviations of formulae, and approximations of parameters.
Starting Page	2139
Ending Page	2140
File Size	213926
Page Count	2
File Format	PDF
ISBN	0780376129
ISSN	1094687X
DOI	10.1109/IEMBS.2002.1053207
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-10-23
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Lenses Optical refraction Cornea Retina Biomedical optical imaging Power measurement Power engineering and energy Information science Ray tracing Length measurement
Content Type	Text
Resource Type	Article

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