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Autori principali: Osman, Besm, Vink, Ruben, Jalba, Andrei, Chamberland, Maxime
Natura: Preprint
Pubblicazione: 2025
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Accesso online:https://arxiv.org/abs/2512.08450
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author Osman, Besm
Vink, Ruben
Jalba, Andrei
Chamberland, Maxime
author_facet Osman, Besm
Vink, Ruben
Jalba, Andrei
Chamberland, Maxime
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2512_08450
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Connectivity-Preserving Cortical Surface Tetrahedralization
Osman, Besm
Vink, Ruben
Jalba, Andrei
Chamberland, Maxime
Computational Geometry
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.
title Connectivity-Preserving Cortical Surface Tetrahedralization
topic Computational Geometry
url https://arxiv.org/abs/2512.08450