Detail publikace

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

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

Originální název

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

Typ

článek ve sborníku mimo WoS a Scopus

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

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

Autoři

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

Rok RIV

2010

Vydáno

24. 5. 2010

Nakladatel

Institute for Systems and Technologies of Information, Control and Communication

Místo

Setubal

ISBN

978-989-674-026-9

Kniha

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

Strany od

134

Strany do

138

Strany počet

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"
}