Evaluation of geometric features as biomarkers of diabetic retinopathy for characterizing the retinal vascular changes during the progression of diabetes

Georgios Leontidis, Bashir Al-Diri, Jeffrey Wigdahl, Andrew Hunter

Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

16 Citations (Scopus)

Abstract

Diabetic retinopathy (DR) has been widely studied and characterized. However, until now, it is unclear how different features, extracted from the retinal vasculature, can be associated with the progression of diabetes and therefore become biomarkers of DR. In this study, a comprehensive analysis is presented, in which four groups were created, using eighty fundus images from twenty patients, who have progressed to DR and they had no history of any other diseases (e.g. hypertension or glaucoma). The significance of the following features was evaluated: widths, angles, branching coefficient (BC), angle-to-BC ratio, standard deviations, means and medians of widths and angles, fractal dimension (FD), lacunarity and FD-to-lacunarity ratio, using a mixed model analysis of variance (ANOVA) design. All the features were measured from the same junctions of each patient, using an automated tool. The discriminative power of these features was evaluated, using decision trees and random forests classifiers. Cross validation and out-of-bag error were used to evaluate the classifiers' performance, calculating the area under the ROC curve (AUC) and the classification error. Widths, FD and FD-to-Lacunarity ratio were found to differ significantly. Random forests had a superior performance of 0.768 and 0.737 in the AUC for the two cases of classification, namely three-years-pre-DR/post-DR and two-years-pre-DR/post-DR respectively.

Original languageEnglish
Title of host publication37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
PublisherIEEE Explore
Pages5255-5259
Number of pages5
ISBN (Electronic)978-1-4244-9271-8
DOIs
Publication statusPublished - Aug 2015
Event37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) - Milan, Italy, Milan, Italy
Duration: 25 Aug 201529 Aug 2015

Conference

Conference37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Country/TerritoryItaly
CityMilan
Period25/08/1529/08/15

Keywords

  • Image Processing
  • Biomarkers
  • Decision Trees
  • Diabetic Retinopathy

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