Detail publikace

Tetrahedral Meshing of Volumetric Medical Images Respecting Image Edges

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

Originální název

Tetrahedral Meshing of Volumetric Medical Images Respecting Image Edges

Typ

článek ve sborníku mimo WoS a Scopus

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

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

Autoři

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

Rok RIV

2011

Vydáno

31. 8. 2011

Nakladatel

Springer Verlag

Místo

Berlin Heidelberg

ISBN

978-3-642-23671-6

Kniha

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

Edice

Lecture Notes in Computer Science

ISSN

0302-9743

Periodikum

Lecture Notes in Computer Science

Ročník

6854

Stát

Spolková republika Německo

Strany od

161

Strany do

169

Strany počet

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"
}