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

English Title

Tetrahedral Meshing of Volumetric Medical Images Respecting Image Edges

Type

conference paper

Language

en

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.

English 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

RIV year

2011

Released

31.08.2011

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

Edition number

NEUVEDEN

Pages from

161

Pages to

169

Pages count

9

Documents

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",
  annote="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.",
  address="Springer Verlag",
  booktitle="Proceedings of the 14th International Conference on Computer Analysis of Images and Patterns, CAIP 2011",
  chapter="76362",
  edition="Lecture Notes in Computer Science",
  howpublished="print",
  institution="Springer Verlag",
  year="2011",
  month="august",
  pages="161--169",
  publisher="Springer Verlag",
  type="conference paper"
}