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Detail publikace
ŠPANĚL, M. KRŠEK, P. ŠVUB, M. ŠTANCL, V. ŠILER, O.
Originální název
Delaunay-Based Vector Segmentation of Volumetric Medical Images
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
The image segmentation plays an important role in medical image processing. Many segmentation algorithms exist. Most of them produce raster data which is not suitable for 3D geometrical modeling of human tissues. In this paper, a vector segmentation algorithm based on 3D Delaunay triangulation is proposed. Tetrahedral mesh is used to divide volumetric CT/MR data into non-overlapping regions whose characteristics are similar. Novel methods for improving quality of the mesh and its adaptation to the 3D image structure are also presented.
Klíčová slova
Medical image processing, CT/MRI data, vector image segmentation, 3D Delaunay triangulation, tetraheral mesh, isotropic meshing, classification.
Autoři
ŠPANĚL, M.; KRŠEK, P.; ŠVUB, M.; ŠTANCL, V.; ŠILER, O.
Rok RIV
2007
Vydáno
27. 8. 2007
Nakladatel
Springer Verlag
Místo
Berlin Heidelberg
ISBN
3-540-74271-9
Kniha
Proceedings of the 12th International Conference on Computer Analysis of Images and Patterns, CAIP 2007
Edice
LNCS 4673
ISSN
0302-9743
Periodikum
Lecture Notes in Computer Science
Ročník
Číslo
08
Stát
Spolková republika Německo
Strany od
261
Strany do
269
Strany počet
8
BibTex
@inproceedings{BUT26059, author="Michal {Španěl} and Přemysl {Kršek} and Miroslav {Švub} and Vít {Štancl} and Ondřej {Šiler}", title="Delaunay-Based Vector Segmentation of Volumetric Medical Images", booktitle="Proceedings of the 12th International Conference on Computer Analysis of Images and Patterns, CAIP 2007", year="2007", series="LNCS 4673", journal="Lecture Notes in Computer Science", volume="2007", number="08", pages="261--269", publisher="Springer Verlag", address="Berlin Heidelberg", isbn="3-540-74271-9", issn="0302-9743" }