Intersection-free tetrahedral meshing from volumetric images

Jin Qian, Yongjie Zhang*, Devin Thomas O'Connor, M. Steven Greene, Wing Kam Liu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

High-fidelity meshes are essential in many visualisation and simulation applications. In this study, we develop an automatic approach to generate intersection-free meshes from volumetric images. Due to the properties of octree-based dual contouring, the generated elements may intersect with each other. We need a robust method to generate quality intersection-free tetrahedral meshes with no topology ambiguity. In our algorithm, we first analyse each sign-change edge or interior edge to define an envelope, and then check whether self-intersections will appear. In the end, we choose appropriate meshing technique to create intersection-free meshes. Our main contribution lies in intersection-free tetrahedral meshing for single-material and multiple-material domains, with topology ambiguities resolved by handling hybrid grids. We have applied our method to two biomedical and one microstructure data-sets and obtained good results based on our quality metrics.

Original languageEnglish (US)
Pages (from-to)100-110
Number of pages11
JournalComputer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization
Volume1
Issue number2
DOIs
StatePublished - Jun 2013

Keywords

  • dual contouring
  • envelope
  • hybrid grids
  • intersection free
  • octree
  • tetrahedral mesh

ASJC Scopus subject areas

  • Computational Mechanics
  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging
  • Computer Science Applications

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