Analysis of foveal avascular zone for grading of diabetic retinopathy severity based on curvelet transform

Abstract

This technique showed high reproducibility in characterizing the size and contour of the FAZ in diabetic maculopathy, thus it has the potential to serve as a powerful tool in the automated assessment and grading of images in a routine clinical setting.

Application of different imaging modalities for diagnosis of Diabetic Macular Edema: A review

“…Alipour et al [128] proposed a method for automated grading of diabetic maculopathy using curvelet transform. First, Foveal Avascular Region (FAR) is located using the constant distance from OD.…”

“…Gabor filtering, morphological and texture features used in [79,124,127,134] segment exudates. Curvelet transform is applied in localized FAR to perform DME grading [128]. However, their method used only geometrical relation to locate fovea [128].…”

Algorithm for predicting macular dysfunction based on moment invariants classification of the foveal avascular zone in functional retinal images

“…According to Table 3, all related studies (Alipour et al, 2012;Ballerini, 1999a;1999b;Hani et al, 2010) used subjects with diabetic retinopathy. Alipour et al (2012) and Ballerini (1999a;1999b) used images obtained by an invasive method of contrast injection.…”

“…According to Table 3, all related studies (Alipour et al, 2012;Ballerini, 1999a;1999b;Hani et al, 2010) used subjects with diabetic retinopathy. Alipour et al (2012) and Ballerini (1999a;1999b) used images obtained by an invasive method of contrast injection. In relation to the segmentation, selections of initial point or image cropping were carried out in some cases (Ballerini, 1999a;1999b;Hani et al, 2010).…”

“…In relation to the segmentation, selections of initial point or image cropping were carried out in some cases (Ballerini, 1999a;1999b;Hani et al, 2010). Area (Alipour et al, 2012;Hani et al, 2010) or distinct formulation of moments (Ballerini, 1999a;1999b) were used as features of each FAZ. As there is no similarity in the image databases used, it is not possible to compare the results objectively.…”