Meshing Arterial Networks From Manually Extracted Centerlines
Résumé
In large vascular networks with small vessels, the low resolution of medical images causes the segmentation algorithms to fail. Simplified models based on the vessel centerline are convenient to represent complex networks, but are associated with a loss of information. In this work, we propose a pipeline which overcomes the limitations of manually extracted centerlines (low sampling, noise) to reconstruct an anatomically accurate surface or volume mesh suitable for numerical simulation.
| Origine | Fichiers produits par l'(les) auteur(s) |
|---|