Telea, AlexandruVilanova, AnnaG.-P. Bonneau and S. Hahmann and C. D. Hansen2014-01-302014-01-3020033-905673-01-01727-5296https://doi.org/10.2312/VisSym/VisSym03/185-194We present a robust method for extracting 3D centerlines from volumetric datasets. We start from a 2D skeletonization method to locate voxels centered with respect to three orthogonal slicing directions. Next, we introduce a new detection criterion to extract the centerline voxels from the above skeletons, followed by a thinning, reconnection, and a ranking step. Overall, the proposed method produces centerlines that are object-centered, connected, one voxel thick, robust with respect to object noisiness, handles arbitrary object topologies, comes with a simple pruning threshold, and is fast to compute. We compare our results with two other methods on a variety of real-world datasets