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ŠPANĚL, M. KRŠEK, P. ŠVUB, M. ŠTANCL, V.
Original Title
Tetrahedral Meshing of Volumetric Medical Images Respecting Image Edges
Type
article in a collection out of WoS and Scopus
Language
English
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.
Keywords
CT data; image segmentation; surface reconstruction; 3D Delaunay triangulation; variational tetrahedral meshing; isotropic meshing; graph-cut segmentation
Authors
ŠPANĚL, M.; KRŠEK, P.; ŠVUB, M.; ŠTANCL, V.
RIV year
2011
Released
31. 8. 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
0302-9743
Periodical
Year of study
6854
State
Federal Republic of Germany
Pages from
161
Pages to
169
Pages count
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" }