Literature DB >> 19787149

Can the fractal dimension be applied for the early diagnosis of non-proliferative diabetic retinopathy?

A C B Kunicki1, A J Oliveira, M B M Mendonça, C T F Barbosa, R A Nogueira.   

Abstract

The fractal dimension has been employed as a useful parameter in the diagnosis of retinal disease. Avakian et al. (Curr Eye Res 2002; 24: 274-280), comparing the vascular pattern of normal patients with mild to moderate non-proliferative diabetic retinopathy (NPDR), found a significant difference between them only in the macular region. This significant difference in the box-counting fractal dimension of the macular region between normal and mild NPDR patients has been proposed as a method of precocious diagnosis of NPDR. The aim of the present study was to determine if fractal dimensions can really be used as a parameter for the early diagnosis of NPDR. Box-counting and information fractal dimensions were used to parameterize the vascular pattern of the human retina. The two methods were applied to the whole retina and to nine anatomical regions of the retina in 5 individuals with mild NPDR and in 28 diabetic but opthalmically normal individuals (controls), with age between 31 and 86 years. All images of retina were obtained from the Digital Retinal Images for Vessel Extraction (DRIVE) database. The results showed that the fractal dimension parameter was not sensitive enough to be of use for an early diagnosis of NPDR.

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Year:  2009        PMID: 19787149     DOI: 10.1590/s0100-879x2009005000020

Source DB:  PubMed          Journal:  Braz J Med Biol Res        ISSN: 0100-879X            Impact factor:   2.590


  6 in total

1.  Characterisation of human non-proliferative diabetic retinopathy using the fractal analysis.

Authors:  Ştefan Ţălu; Dan Mihai Călugăru; Carmen Alina Lupaşcu
Journal:  Int J Ophthalmol       Date:  2015-08-18       Impact factor: 1.779

2.  Optimality, Cost Minimization and the Design of Arterial Networks.

Authors:  Alun D Hughes
Journal:  Artery Res       Date:  2015-06       Impact factor: 0.597

3.  Quantifying Microvascular Density and Morphology in Diabetic Retinopathy Using Spectral-Domain Optical Coherence Tomography Angiography.

Authors:  Alice Y Kim; Zhongdi Chu; Anoush Shahidzadeh; Ruikang K Wang; Carmen A Puliafito; Amir H Kashani
Journal:  Invest Ophthalmol Vis Sci       Date:  2016-07-01       Impact factor: 4.799

Review 4.  Noninvasive Retinal Markers in Diabetic Retinopathy: Advancing from Bench towards Bedside.

Authors:  Søren Leer Blindbæk; Thomas Lee Torp; Kristian Lundberg; Kerstin Soelberg; Anna Stage Vergmann; Christina Døfler Poulsen; Ulrik Frydkjaer-Olsen; Rebecca Broe; Malin Lundberg Rasmussen; Jimmi Wied; Majbrit Lind; Anders Højslet Vestergaard; Tunde Peto; Jakob Grauslund
Journal:  J Diabetes Res       Date:  2017-04-13       Impact factor: 4.011

5.  The Longitudinal Assessment of Vascular Parameters of the Retina and Their Correlations with Systemic Characteristics in Type 2 Diabetes-A Pilot Study.

Authors:  Rehana Khan; Sajib K Saha; Shaun Frost; Yogesan Kanagasingam; Rajiv Raman
Journal:  Vision (Basel)       Date:  2022-07-20

6.  Quantitative Assessment of Retinopathy Using Multi-parameter Image Analysis.

Authors:  Zahra Ghanian; Kevin Staniszewski; Nasim Jamali; Reyhaneh Sepehr; Shoujian Wang; Christine M Sorenson; Nader Sheibani; Mahsa Ranji
Journal:  J Med Signals Sens       Date:  2016 Apr-Jun
  6 in total

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