1. Articles from Nóra Szentmáry

    1-3 of 3
    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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    3. Examination of corneal deposits in nephropathic cystinosis using in vivo confocal microscopy and anterior segment optical coherence tomography: an age-dependent cross sectional study

      Examination of corneal deposits in nephropathic cystinosis using in vivo confocal microscopy and anterior segment optical coherence tomography: an age-dependent cross sectional study

      Background Presence of corneal cystine crystals is the main ocular manifestation of cystinosis, although controversial findings concerning the corneal layer with the highest density have been reported. The aim of this study was the analysis of the characteristics of crystal arrangement in different corneal layers and the assessment of corneal morphological changes with age. Methods A cross sectional study was carried out in three children and three adults who had nephropathic cystinosis and corneal cystine depositions. All patients underwent a comprehensive ophthalmological examination including best corrected distance visual acuity, slit-lamp examination, in vivo confocal microscopy and anterior segment optical coherence ...

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    1-3 of 3
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    Examination of corneal deposits in nephropathic cystinosis using in vivo confocal microscopy and anterior segment optical coherence tomography: an age-dependent cross sectional study Back-calculation of keratometer index based on OCT data and raytracing - a Monte Carlo simulation Prediction model for best focus, power, and spherical aberration of the cornea: Raytracing on a large dataset of OCT data Clinical Trials Critical for the Evaluation of Advanced Medical Imaging Tools Voxeleron Welcomes Manabu Tokunaga as new Director of Software Accuracy of Diabetic Retinopathy Staging with a Deep Convolutional Neural Network Using Ultra-Wide-Field Fundus Ophthalmoscopy and Optical Coherence Tomography Angiography A longitudinal comparison in cynomolgus macaques of the effect of brimonidine on optic nerve neuropathy using diffusion tensor imaging magnetic resonance imaging and spectral domain optical coherence tomography Design of 1300-nm spectral domain optical coherence tomography angiography system for iris microvascular imaging Perimeter Medical Imaging AI Announces Important Milestone in ATLAS AI Project with Standalone AI Algorithm Achieving Key Performance Metrics Towards ‘automated gonioscopy’: a deep learning algorithm for 360° angle assessment by swept-source optical coherence tomography Intraoperative Observation of a Macular Holes Using Optical Coherence Tomography Quantitative characterization of human breast tissue based on deep learning segmentation of 3D optical coherence tomography images