Automatic Vessel Segmentation and Aneurysm Detection Pipeline for Numerical Fluid Analysis
Johannes Felde, Thomas Wagner, Hans Lamecker, Christian Doenitz, Lina Gundelwein
1000shapes GmbH, Berlin
Abstract
Computational Fluid Dynamic calculations are a great assistance for rupture prediction of cerebral aneurysms. This procedure requires a consistent surface, as well as a separation of the blood vessel and aneurysm on this surface to calculate rupture-relevant scores. For this purpose we present an automatic pipeline, which generates a surface model of the vascular tree from angiographies determined by a marker- based
watershed segmentation and label post-processing. Aneurysms on the surface model are then detected and segmented using shape-based graph cuts along with anisotropic diffusion and an iterative Support Vec- tor Machine based classification. Aneurysms are correctly detected and segmented in 33 out of 35 test cases. Simulation relevant vessels are suc- cessfully segmented without vessel merging in 131 out of 144 test cases,achieving an average dice coefficient of 0.901.
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