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)

    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

    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.

    Keywords

    • 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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