Specular Corneal Endothelium Dystrophic Image Analysis with Artificial Intelligent Convolution Filter

doi:10.23940/ijpe.23.12.p5.807816

Abstract

Abstract: The human cornea is composed of five layers, with the stroma layer being the thickest and the endothelium layer being the densest. The endothelium layer contains hexagonally structured cells, and disturbances in these cells occur in various dystrophies, including Fuch's dystrophy (FD), advanced Fuch's dystrophy (AFD), posterior polymorphous corneal dystrophy, Irido corneal dystrophy (ICD), mild polymegathism, and corneal guttata (CG). Thirteen (13) images were obtained from a specular microscope, capturing different dystrophies in various patients. These images were processed using the Artificial Intelligent Convolution Filter (AICF) algorithm. The algorithm extracted several parameters from the endothelium layer, including mean cell area, elongation of endothelial cells, Heywood circularity, compactness, hexagonality, standard deviation, and coefficient of variation. The mean cell area of images I1 to I13 ranged from 79.5 µm² to 3485 µm². The elongation of endothelial cells varied between 3.11 µm² and 3.98 µm². The compactness factor of endothelial cells ranged from 0.62 µm² to 0.93 µm², while Heywood circularity factor ranged from 0.8 µm² to 1.98 µm². The coefficient of variation spanned from 10 µm² to 99 µm², and the hexagonality of endothelial cells ranged from 46.6 µm² to 65.2 µm². These statistical parameters provide a meticulous representation of the healthy condition of the endothelial layer.

Key words: Fuch's dystrophy, advanced Fuch's dystrophy, posterior polymorphous corneal dystrophy, Irido corneal dystrophy, polymegathism

Kamireddy Vijay Chandra, Kala Praveen Bagadi, Visalakshi Annepu, K. Sudha Rani, and Poornaiah Billa. Specular Corneal Endothelium Dystrophic Image Analysis with Artificial Intelligent Convolution Filter [J]. Int J Performability Eng, 2023, 19(12): 807-816.

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