3D CTA image segmentation with a generalized cylinder-based tree model

The proposed model is devoted to the segmentation and reconstruction of 3D vascular trees. We rely on an explicit representation of a deformable tree, where topological relationships between segments are modeled. This allows easy posterior interactions and quantitative analysis, such as measuring diameters or lengths of vessels. Starting from a unique user-provided root point, an initial tree is built with a technique relying on minimal paths. Within the constructed tree, the central curve of each segment and an associated variable radius function evolve in order to satisfy a region homogeneity criterion. We present results obtained on 3D CTA images of the carotid bifurcation.