Stefan Tălu1. 1. Facultatea de Mecanică, Disciplina De Geometrie Descriptivă şi Grafică Inginerească, Universitatea Tehnică Din Cluj-Napoca. STEFAN_TA@YAHOO.COM
Abstract
PURPOSE: The objective of this study is to describe the microvascular network of the normal human retina the d using multifractal geometry. MATERIALS AND METHOD: The multifractal analysis of five digitized retinal images was made with the Image J software, exprf applying the standard box-counting method. RESULTS: The human retinal microvascular network has a multifractal geometry. The generalized fractal dimensions Dq were expressed by the mean value and standard deviation. A comparison with the data from studies performed in the ophthalmologic literature was made. CONCLUSIONS: Multifractal characterization of human retinal microvascular network, as a non-invasive technique for the analysis of various aspects of retinal vascular topography can be used as a potential marker for early detection of patients with retinal diseases.
PURPOSE: The objective of this study is to describe the microvascular network of the normal human retina the d using multifractal geometry. MATERIALS AND METHOD: The multifractal analysis of five digitized retinal images was made with the Image J software, exprf applying the standard box-counting method. RESULTS: The human retinal microvascular network has a multifractal geometry. The generalized fractal dimensions Dq were expressed by the mean value and standard deviation. A comparison with the data from studies performed in the ophthalmologic literature was made. CONCLUSIONS: Multifractal characterization of human retinal microvascular network, as a non-invasive technique for the analysis of various aspects of retinal vascular topography can be used as a potential marker for early detection of patients with retinal diseases.
Authors: Ştefan Ţălu; Sebastian Stach; Dan Mihai Călugăru; Carmen Alina Lupaşcu; Simona Delia Nicoară Journal: Int J Ophthalmol Date: 2017-03-18 Impact factor: 1.779
Authors: Adnan Khan; Patrick De Boever; Nele Gerrits; Naveed Akhtar; Maher Saqqur; Georgios Ponirakis; Hoda Gad; Ioannis N Petropoulos; Ashfaq Shuaib; James E Faber; Saadat Kamran; Rayaz A Malik Journal: PLoS One Date: 2022-05-05 Impact factor: 3.752