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Connectivity-Preserving Cortical Surface Tetrahedralization

Published: December 9, 2025 | arXiv ID: 2512.08450v1

By: Besm Osman , Ruben Vink , Andrei Jalba and more

Potential Business Impact:

Makes computer models of bodies work better.

Business Areas:
Simulation Software

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.

Page Count
13 pages

Category
Computer Science:
Computational Geometry