Kasprzak Henryk, Boszczyk Agnieszka
Department of Optics and Photonics, Wroclaw University of Technology, 50 370, Wroclaw, Poland.
J Biophotonics. 2016 May;9(5):436-44. doi: 10.1002/jbio.201500235. Epub 2016 Mar 21.
The paper presents numerical analysis of corneal curvature distribution, based on Corvis ST images. It was shown that a new approach to analysis of corneal curvature from tonometer images enables a better description and understanding of processes during fast corneal deformation. Ten healthy volunteers participated in nine repeated measurements on one eye. 90 sequences of images were processed with software written in Matlab, with the use of the Image Processing Toolbox. Time-spatial distribution of the local curvature distribution of the corneal profile was obtained for each and every measurement. Some new curvature parameters were proposed and analyzed. A high repeatability for individual subjects was obtained for the proposed parameters. For four of these new parameters, the ICC coefficients were higher than 0.85. The ICC value for the calculated curvature of the cornea before deformation reaches 0.989. Such high repeatability of the proposed new parameters can be useful in examination and differentiation of corneas due to their geometrical and biomechanical properties.
本文基于Corvis ST图像对角膜曲率分布进行了数值分析。结果表明,一种从眼压计图像分析角膜曲率的新方法能够更好地描述和理解快速角膜变形过程。十名健康志愿者对一只眼睛进行了九次重复测量。使用Matlab编写的软件并借助图像处理工具箱对90组图像序列进行了处理。每次测量都获得了角膜轮廓局部曲率分布的时空分布。提出并分析了一些新的曲率参数。所提出的参数在个体受试者中具有很高的重复性。对于其中四个新参数,组内相关系数(ICC)高于0.85。角膜变形前计算出的曲率的ICC值达到0.989。所提出的新参数如此高的重复性,因其几何和生物力学特性,在角膜检查和鉴别中可能会很有用。