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Related Experiment Video

Updated: Jun 20, 2026

Extracting Metrics for Three-dimensional Root Systems: Volume and Surface Analysis from In-soil X-ray Computed Tomography Data
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3D Finite Element Meshing from Imaging Data.

Yongjie Zhang1, Chandrajit Bajaj, Bong-Soo Sohn

  • 1Institute for Computational Engineering and Sciences, Department of Computer Sciences, The University of Texas at Austin.

Computer Methods in Applied Mechanics and Engineering
|September 28, 2011
PubMed
Summary
This summary is machine-generated.

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This study presents a new algorithm for creating high-quality 3D meshes from imaging data. This method generates adaptive finite element meshes without errors, improving geometric modeling for simulations.

Area of Science:

  • Computational geometry
  • Medical imaging
  • Finite Element Method (FEM)

Background:

  • 3D meshes are crucial for Finite Element Method (FEM) simulations.
  • Extracting quality meshes from volumetric imaging data presents significant challenges.
  • Existing methods often struggle with adaptive meshing and topological correctness.

Purpose of the Study:

  • To develop an algorithm for extracting adaptive and high-quality 3D meshes directly from volumetric imaging data.
  • To extend the dual contouring method for crack-free interval volume 3D meshing.
  • To generate 3D finite element meshes without introducing hanging nodes.

Main Methods:

  • Utilized a top-down octree subdivision approach.
  • Employed the dual contouring method for mesh extraction.

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A Finite Element Approach for Locating the Center of Resistance of Maxillary Teeth
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A Finite Element Approach for Locating the Center of Resistance of Maxillary Teeth

Published on: April 8, 2020

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Extracting Metrics for Three-dimensional Root Systems: Volume and Surface Analysis from In-soil X-ray Computed Tomography Data
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  • Incorporated edge contraction and smoothing techniques for mesh quality improvement.

    • Main Results:

    • Successfully extracted adaptive 3D finite element meshes with correct topology.
    • Achieved crack-free interval volume meshing with feature-sensitive adaptation.
    • Demonstrated the generation of quality meshes without hanging nodes.

    Conclusions:

    • The developed algorithm provides an effective solution for generating adaptive and quality 3D meshes from volumetric data.
    • The method enhances geometric modeling for applications like biomolecule simulations in FEM.
    • This approach overcomes limitations of previous tetrahedral extraction techniques.