Detail publikace

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

Originální název

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

Anglický název

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

Jazyk

en

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.

Anglický 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.

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",
  annote="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.",
  address="Institute for Systems and Technologies of Information, Control and Communication",
  booktitle="Proceedings of the 3rd International Joint Conference on Computer Vision, Imaging and Computer Graphics Theaory and Applications",
  chapter="34659",
  edition="NEUVEDEN",
  howpublished="print",
  institution="Institute for Systems and Technologies of Information, Control and Communication",
  year="2010",
  month="may",
  pages="134--138",
  publisher="Institute for Systems and Technologies of Information, Control and Communication",
  type="conference paper"
}