A Robust Level-Set Algorithm for Centerline Extraction

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A Robust Level-Set Algorithm for Centerline Extraction
We 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.
Alexandru Telea, Anna Vilanova
Added 01 Nov 2010
Updated 01 Nov 2010
Type Conference
Year 2003
Authors Alexandru Telea, Anna Vilanova
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