Parametric representation of the retinal temporal arcade

Monitoring the openness of the temporal arcade and how it changes over time can facilitate improved diagnosis and optimized treatment of plus disease and retinopathy of prematurity. We propose methods for the detection and parametric modeling of the temporal arcade, including Gabor filters to detect retinal vessels and the Hough transform to detect and parameterize parabolic forms. Results obtained with 40 images compared with parabolic models fitted to hand-drawn traces of the temporal arcade indicate a correlation coefficient of 0.97 for the openness and a mean error of 15 pixels (0.3 mm) in the vertex.

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