Automatic generation of tetrahedral meshes from medical images

Gi Hwan Kwon; Soo Won Chae; Kyu Jung Lee

doi:10.1016/S0045-7949(02)00406-6

Automatic generation of tetrahedral meshes from medical images

Gi Hwan Kwon, Soo Won Chae, Kyu Jung Lee

Research output: Contribution to journal › Article › peer-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 language	English
Pages (from-to)	765-775
Number of pages	11
Journal	Computers and Structures
Volume	81
Issue number	8-11
DOIs	https://doi.org/10.1016/S0045-7949(02)00406-6
Publication status	Published - 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

Access to Document

10.1016/S0045-7949(02)00406-6

Cite this

@article{2760450dfa464630a92f1e2a8681ec8b,

title = "Automatic generation of tetrahedral meshes from medical images",

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.",

keywords = "Advancing front, Branching, Correspondence, Medical images, Tetrahedral meshes, Tiling",

author = "Kwon, {Gi Hwan} and Chae, {Soo Won} and Lee, {Kyu Jung}",

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.",

year = "2003",

month = may,

doi = "10.1016/S0045-7949(02)00406-6",

language = "English",

volume = "81",

pages = "765--775",

journal = "Computers and Structures",

issn = "0045-7949",

publisher = "Elsevier Ltd",

number = "8-11",

}

TY - JOUR

T1 - Automatic generation of tetrahedral meshes from medical images

AU - Kwon, Gi Hwan

AU - Chae, Soo Won

AU - Lee, Kyu Jung

N1 - 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.

PY - 2003/5

Y1 - 2003/5

N2 - 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.

AB - 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.

KW - Advancing front

KW - Branching

KW - Correspondence

KW - Medical images

KW - Tetrahedral meshes

KW - Tiling

UR - http://www.scopus.com/inward/record.url?scp=0037401808&partnerID=8YFLogxK

U2 - 10.1016/S0045-7949(02)00406-6

DO - 10.1016/S0045-7949(02)00406-6

M3 - Article

AN - SCOPUS:0037401808

SN - 0045-7949

VL - 81

SP - 765

EP - 775

JO - Computers and Structures

JF - Computers and Structures

IS - 8-11

ER -

Automatic generation of tetrahedral meshes from medical images

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this