Automatic generation of tetrahedral meshes from medical images

Gi Hwan Kwon, Soo Won Chae, Kyu Jung Lee

Research output: Contribution to journalArticlepeer-review

22 Citations (Scopus)


A new tetrahedral meshing algorithm from the series of medical images is proposed. Sectional contours are extracted from medical images, and by the use of correspondence, tiling, and branching process, the side surfaces between sections are triangulated in addition to the triangulation on each section. As for the mesh generation for an object between two sections, an advancing front algorithm is employed to generate tetrahedral elements by using basic operators. Sample meshes are constructed from medical images for finite element analysis of biomechanical models.

Original languageEnglish
Pages (from-to)765-775
Number of pages11
JournalComputers and Structures
Issue number8-11
Publication statusPublished - 2003 May

Bibliographical note

Funding Information:
This work was supported by the Korea Science and Engineering Foundation (KOSEF) under the Research Project R01-2001-000-00374-0. The authors gratefully acknowledge this support.


  • Advancing front
  • Branching
  • Correspondence
  • Medical images
  • Tetrahedral meshes
  • Tiling

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Modelling and Simulation
  • General Materials Science
  • Mechanical Engineering
  • Computer Science Applications


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