Automatic generation of tetrahedral meshes from medical images

Gi Hwan Kwon, Soo Won Chae, Kyu Jung Lee

Research output: Contribution to journalArticle

19 Citations (Scopus)

Abstract

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
Volume81
Issue number8-11
DOIs
Publication statusPublished - 2003 May 1

Fingerprint

Tetrahedral Mesh
Medical Image
Mesh generation
Triangulation
Mesh Generation
Meshing
Branching process
Tiling
Finite element method
Correspondence
Mesh
Finite Element
Series
Operator
Model

Keywords

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

ASJC Scopus subject areas

  • Computer Science Applications
  • Computational Mechanics

Cite this

Automatic generation of tetrahedral meshes from medical images. / Kwon, Gi Hwan; Chae, Soo Won; Lee, Kyu Jung.

In: Computers and Structures, Vol. 81, No. 8-11, 01.05.2003, p. 765-775.

Research output: Contribution to journalArticle

Kwon, Gi Hwan ; Chae, Soo Won ; Lee, Kyu Jung. / Automatic generation of tetrahedral meshes from medical images. In: Computers and Structures. 2003 ; Vol. 81, No. 8-11. pp. 765-775.
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