English

Connectivity-Preserving Cortical Surface Tetrahedralization

Computational Geometry 2025-12-10 v1

Abstract

A prerequisite for many biomechanical simulation techniques is discretizing a bounded volume into a tetrahedral mesh. In certain contexts, such as cortical surface simulations, preserving input surface connectivity is critical. However, automated surface extraction often yields meshes containing self-intersections, small holes, and faulty geometry, which prevents existing constrained and unconstrained meshers from preserving this connectivity. We address this issue by developing a novel tetrahedralization method that maintains input surface connectivity in the presence of such defects. We also present a metric to quantify the preservation of surface connectivity and demonstrate that our method correctly maintains connectivity compared to existing solutions.

Keywords

Cite

@article{arxiv.2512.08450,
  title  = {Connectivity-Preserving Cortical Surface Tetrahedralization},
  author = {Besm Osman and Ruben Vink and Andrei Jalba and Maxime Chamberland},
  journal= {arXiv preprint arXiv:2512.08450},
  year   = {2025}
}

Comments

13 pages, 3 figures

R2 v1 2026-07-01T08:16:38.361Z