Abstract. In many diseases with a cardiovascular component, the geometry of microvascular blood vessels changes. These changes are specific to arteries and veins, and can be studied in the microvasculature of the retina using retinal photography. To facilitate large-scale studies of artery/vein-specific changes in the retinal vasculature, automated classification of the vessels is required. Here we present a novel method for artery/vein classification based on local and contextual feature analysis of retinal vessels. For each vessel, local information in the form of a transverse intensity profile is extracted. Crossings and bifurcations of vessels provide contextual information. The local and contextual features are integrated into a non-submodular energy function, which is optimized exactly using graph cuts. The method was validated on a ground truth data set of 150 retinal fundus images, achieving an accuracy of 88.0% for all vessels and 94.0% for the six arteries and six veins with highest caliber in the image.

The Dutch Ultra‐Thin DSAEK study is a multicenter randomized controlled study comparing the effectiveness and cost‐effectiveness of precut ultra‐thin (<100 m) DSAEK with standard thickness DSAEK. Fifty‐eight adult patients with Fuchs endothelial dystrophy and no other visual limiting comorbidities were randomized to either ultra‐thin or standard DSAEK in four tertiary medical centers in The Netherlands. Preliminary (6 months follow‐up) outcomes, including: ETDRS best corrected visual acuity, refractive and topographic astigmatism, endothelial cell density, contrast sensitivity, straylight, complication profile, quality of life and vision related quality of life will be presented.

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