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Segmentation of 3D cerebral vasculature is important for clinical diagnosis. However, many relevant thin vessels are not visible in 1.5T and 3T MRA. With the recent introduction of 7T MRA, images of higher resolution can be acquired, which contain much more thin vessels. We propose a fully automatic hybrid approach for segmenting vessels from 7T MRA images of the human cerebrovascular system. First,...
We introduce a new model-based approach for automatic quantification of colocalizations in multichannel 3D microscopy images. The approach uses different 3D parametric intensity models in conjunction with a model fitting scheme to localize and quantify subcellular structures with high accuracy. The central idea is to determine colocalizations between different channels based on the estimated geometry...
Automated quantification of the morphology of the aortic arch is crucial for diagnosis and treatment of cardiovascular diseases. We introduce a new approach for fullyautomatic segmentation and characterization of the aortic arch morphology for endovascular aortic repair. Supraaortic branches are detected based on an analysis of the connected components within a spherical volume around the vessel...
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