Publication detail

Tetrahedral Meshing of Volumetric Medical Images Respecting Image Edges

ŠPANĚL, M. KRŠEK, P. ŠVUB, M. ŠTANCL, V.

Original Title

Tetrahedral Meshing of Volumetric Medical Images Respecting Image Edges

Type

article in a collection out of WoS and Scopus

Language

English

Original Abstract

In this paper, a modified variational tetrahedral meshing approach is used to adapt a tetrahedral mesh to the underlying CT volumetric data so that image edges are well approximated in the mesh. Finally, tetrahedra in the mesh are classified into regions whose image characteristics are similar. Three different clustering schemes are proposed to classify tetrahedra, while the clustering scheme viewing the mesh as an undirected graph with edges weighted according to similarity of tetrahedra achieved best results.

Keywords

CT data; image segmentation; surface reconstruction; 3D Delaunay triangulation; variational tetrahedral meshing; isotropic meshing; graph-cut segmentation

Authors

ŠPANĚL, M.; KRŠEK, P.; ŠVUB, M.; ŠTANCL, V.

RIV year

2011

Released

31. 8. 2011

Publisher

Springer Verlag

Location

Berlin Heidelberg

ISBN

978-3-642-23671-6

Book

Proceedings of the 14th International Conference on Computer Analysis of Images and Patterns, CAIP 2011

Edition

Lecture Notes in Computer Science

ISBN

0302-9743

Periodical

Lecture Notes in Computer Science

Year of study

6854

State

Federal Republic of Germany

Pages from

161

Pages to

169

Pages count

9

BibTex

@inproceedings{BUT76362,
  author="Michal {Španěl} and Přemysl {Kršek} and Miroslav {Švub} and Vít {Štancl}",
  title="Tetrahedral Meshing of Volumetric Medical Images Respecting Image Edges",
  booktitle="Proceedings of the 14th International Conference on Computer Analysis of Images and Patterns, CAIP 2011",
  year="2011",
  series="Lecture Notes in Computer Science",
  journal="Lecture Notes in Computer Science",
  volume="6854",
  pages="161--169",
  publisher="Springer Verlag",
  address="Berlin Heidelberg",
  isbn="978-3-642-23671-6",
  issn="0302-9743"
}