1. Articles from Rupert Menapace

    1-2 of 2
    1. Prediction model for best focus, power, and spherical aberration of the cornea: Raytracing on a large dataset of OCT data

      Prediction model for best focus, power, and spherical aberration of the cornea: Raytracing on a large dataset of OCT data

      Purpose To analyse corneal power based on a large optical coherence tomography dataset using raytracing, and to evaluate corneal power with respect to the corneal front apex plane for different definitions of best focus. Methods A large OCT dataset (10,218 eyes of 8,430 patients) from the Casia 2 (Tomey, Japan) was post-processed in MATLAB (MathWorks, USA). Using radius of curvature, corneal front and back surface asphericity, central corneal thickness, and pupil size (aperture) a bundle of rays was traced through the cornea. Various best focus definitions were tested: a) minimum wavefront error, b) root mean squared ray scatter ...

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    2. Back-calculation of keratometer index based on OCT data and raytracing - a Monte Carlo simulation

      Back-calculation of keratometer index based on OCT data and raytracing - a Monte Carlo simulation

      Purpose: This study aims to develop a raytracing-based strategy for calculating corneal power from anterior segment optical coherence tomography data and extracting the individual keratometer index, which converts the corneal front surface radius to corneal power. Methods: A large OCT dataset (10,218 eyes of 8,430 patients) from the Casia 2 (Tomey, Japan) was post-processed in MATLAB (MathWorks, USA). Radius of curvature, asphericity of the corneal front and back surface, central corneal thickness and pupil size (aperture) were used to trace a bundle of rays through the cornea and derive the best focus plane. Corneal power was calculated with ...

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