Identifying True Vessels Using Krisch Edge Segmentation
Keywords:
Ophthalmology, optimal vessel forest, retinal image analysis, simultaneous vessel identification, vascular structureAbstract
Measurements of retinal blood vessel morphology have been shown to be related to the risk of cardiovascular diseases. The wrong identification of vessels may result in a large variation of these measurements, leading to a wrong clinical diagnosis In this paper, address of the problem identifying true vessels as a post processing step to vascular structure segmentation. These model segmented vascular structure as a vessel segment graph and formulate the problem of identifying vessels as one of finding the optimal forest in the graph given a set of constraints.
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