The study of the coronary vessel structure is crucial to the diagnosis of atherosclerosis and other cardiovascular diseases, which together account for ∼ 35% of all deaths in the United States per year. Vessel Segmentation from CTA data is challenging because of non-uniform image intensity along the vessel, and the branching and thinning geometry of the vessel tree. We present a novel method fo...

In this paper, we present a system for interactive explorations of extraand intracranial blood vessels. Starting with a stack of images from rotation angiography, we apply virtual clips to limit the segmentation of the vessel tree to the parts the neuroradiologists are interested in. Furthermore, methods of interactive virtual endoscopy are applied in order to provide an interior view of the bl...

Segmentation of tubular structures like blood vessels and airways in 3D volume data is of vital interest for medical applications like diagnosis and surgical planning. The proposed method uses a vessel detection filter, which is based on a novel multiscale medialness function and also provides a radius estimate. Based on the filter ouput, centerlines of the tubes are extracted and the vessel tr...

Diabetic Retinopathy (DR) is the leading ophthalmic pathological reason of blindness among people of working age in developed countries. The main cause of DR is abnormal blood glucose level rise, which damages vessel endothelium, causing an increase in the vessel permeability. The initial manifestations of DR are tiny capillary dilations known as microaneurysms. A method for automatic detection...