Publication detail

Vector Segmentation of Volumetric Image Data: Tetrahedral Meshing Constrained by Image Edges

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

Original Title

Vector Segmentation of Volumetric Image Data: Tetrahedral Meshing Constrained by Image Edges

Type

article in a collection out of WoS and Scopus

Language

English

Original Abstract

In this paper, a vector segmentation algorithm of volumetric data based on the 3D Delaunay triangulation is presented. A modified variational meshing method is used to adapt tetrahedral mesh to the underlying CT/MRI volumetric data. Moreover, to classify tetrahedra in the mesh into regions whose characteristics are similar, a clustering scheme viewing the mesh as undirected graph with edges weighted according to similarity of tetrahedra is discussed.

Keywords

CT/MR data, Medical image segmentation, Surface reconstruction, Delaunay triangulation, Variational tetrahedral meshing, Isotropic meshing, Graph-cut segmentation.

Authors

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

RIV year

2010

Released

24. 5. 2010

Publisher

Institute for Systems and Technologies of Information, Control and Communication

Location

Setubal

ISBN

978-989-674-026-9

Book

Proceedings of the 3rd International Joint Conference on Computer Vision, Imaging and Computer Graphics Theaory and Applications

Pages from

134

Pages to

138

Pages count

5

BibTex

@inproceedings{BUT34659,
  author="Michal {Španěl} and Přemysl {Kršek} and Miroslav {Švub} and Vít {Štancl}",
  title="Vector Segmentation of Volumetric Image Data: Tetrahedral Meshing Constrained by Image Edges",
  booktitle="Proceedings of the 3rd International Joint Conference on Computer Vision, Imaging and Computer Graphics Theaory and Applications",
  year="2010",
  pages="134--138",
  publisher="Institute for Systems and Technologies of Information, Control and Communication",
  address="Setubal",
  isbn="978-989-674-026-9"
}