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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
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" }