Fractal and lacunarity analysis of human retinal vessel arborisation in normal and amblyopic eyes

Objective: The purpose of this paper is to determine a global assessment of the human retinal vascular network for patients with amblyopia. Fractal geometry and lacunarity parameters are used in this study. Materials and methods: A set of 12 segmented and skeletonized human retinal images, correspon...

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Bibliographic Details
Published in:	Human & veterinary medicine Vol. 5; no. 2; pp. 45 - 51
Main Authors:	Ţălu, Ştefan, Vlăduţiu, Cristina, Popescu, Livia A, Lupaşcu, Carmen A, Vesa, Ştefan C, Ţălu, Simona D
Format:	Journal Article
Language:	English
Published:	Cluj-Napoca Bioflux SRL 01-08-2013
Subjects:	Algorithms Computer programs Fractals Geometry Macular degeneration Medical imaging Publishing Retina Software Statistical analysis Tomography Romania
Online Access:	Get full text
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Summary:	Objective: The purpose of this paper is to determine a global assessment of the human retinal vascular network for patients with amblyopia. Fractal geometry and lacunarity parameters are used in this study. Materials and methods: A set of 12 segmented and skeletonized human retinal images, corresponding to both normal (6 images) and amblyopia states of the retina (6 images), was analyzed using the Image J software with box-counting method. Statistical analyses were performed for these groups using Microsoft Office Excel 2003 and GraphPad InStat software. Results: The human retinal vascular network architecture can be estimated using the fractal geometry. The average of fractal dimensions D for the amblyopia images (segmented and skeletonized versions) is slightly higher than the corresponding values for normal images (segmented and skeletonized versions). However, the average of lacunarity parameter Л for the amblyopia images (segmented and skeletonized versions) is slightly lower than the corresponding values for normal images (segmented and skeletonized versions). Conclusions: The fractal and lacunarity analysis may be used for an early diagnosis of patients with amblyopia.
ISSN:	2066-7655 2066-7663