[01] Gomaa El Damrawi, Glass Research Group, Physics Department, Faculty of Science, Mansoura University, Mansoura, Egypt. [02] Tarek Mohsen, Ophthalmology Canter, Faculty of Medicine, Mansoura University, Mansoura, Egypt. [03] Mohsen Zahran, Physics Department, Faculty of Science, Mansoura University, Mansoura, Egypt. [04] El Shaimaa Amin, Physics Department (biophysics), Faculty of Science, Mansoura University, Mansoura, Egypt.

For normal subjects and diabetic patients, the purpose of this analysis is to measure the blood vascular network density of the retina in the superficial layer using OCTA image technique. Several techniques were applied to the images, such as box counting size, information dimension, lacunarity parameters, and multi-fractal analysis. There were small variations in fractal dimension of retinal vascular network between the images of normal subjects and diabetic patients. The main point of this research is the reliable anatomized segmentation of the vessel and the retinal vascular which analyzed as a multifractal object. The obtain images were then equally divided into several divided regions, with each area being evaluated as an image. The findings were consistent and help us to differentiate between ordinary and diabetes patients. The applied technique of practical analysis is used to describe and characterize images representing complex anatomical structures. However, the fractal dimension measurement as a key index is deeply based on the quality of the images obtained. Furthermore, the selected segmentation methods and the method for measuring the fractal dimension have been standardized.

Blood Vascular Network, Optical Coherence Tomography Angiography, Box Counting, Multifractal

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