Tetrahedral Meshing of Volumetric Medical Images Respecting Image Edges
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F11%3APU96078" target="_blank" >RIV/00216305:26230/11:PU96078 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Tetrahedral Meshing of Volumetric Medical Images Respecting Image Edges
Original language description
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 regionswhose 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 bestresults.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 14th International Conference on Computer Analysis of Images and Patterns, CAIP 2011
ISBN
978-3-642-23671-6
ISSN
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e-ISSN
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Number of pages
9
Pages from-to
161-169
Publisher name
Springer Verlag
Place of publication
Berlin Heidelberg
Event location
Seville
Event date
Aug 29, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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