Abstract
The retina enables for direct evaluation of retinal vessel calibre in order to estimate cardiovascular risk. Images, on the other hand, are acquired at random points in the cardiac cycle, making it impossible to make accurate measurements of retinal vessel calibre and restricting their application in clinical settings. This has already been demonstrated in healthy individuals. Worse resolution images and longer delay durations between mechanical start and image collection were also linked to lower retinal vascular calibre measuring accuracy in these studies. Ophthalmologists have widely used retinal fundus imaging systems to examine the health of the optic nerve, vitreous, macula, retina and their blood vessels. This research aims at studying novel and accurate algorithms for the automated extraction of the retinal vascular network and its abnormalities from colour retinal images for disease prediction and to determine whether ECG-gating retinal photographs refine retinal vessel calibre measurements, and to explore the validity, reliability and acceptability of this novel approach relative to common peripheral risk markers of cardiovascular disease.
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