Result Details
Tetrahedral Meshing of Volumetric Medical Images Respecting Image Edges
        ŠPANĚL, M.; KRŠEK, P.; ŠVUB, M.; ŠTANCL, V. Tetrahedral Meshing of Volumetric Medical Images Respecting Image Edges. Proceedings of the 14th International Conference on Computer Analysis of Images and Patterns, CAIP 2011. Lecture Notes in Computer Science. Lecture Notes in Computer Science. Berlin Heidelberg: Springer Verlag, 2011. p. 161-169.  ISBN: 978-3-642-23671-6. ISSN: 0302-9743.
    
                Type
            
        
                conference paper
            
        
                Language
            
        
                English
            
        
            Authors
            
        
                Španěl Michal, doc. Ing., Ph.D., DCGM (FIT)
                
Kršek Přemysl, doc. Ing., Ph.D., DCGM (FIT), UTKO (FEEC)
Švub Miroslav, Ing., FIT (FIT)
Štancl Vít, Ing., FIT (FIT), DCGM (FIT)
        Kršek Přemysl, doc. Ing., Ph.D., DCGM (FIT), UTKO (FEEC)
Švub Miroslav, Ing., FIT (FIT)
Štancl Vít, Ing., FIT (FIT), DCGM (FIT)
                    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
                Published
            
            
                    2011
                    
                
            
                    Pages
                
            
                        161–169
                
            
                    Journal
                
            
                    Lecture Notes in Computer Science, vol. 6854, ISSN 0302-9743
                
            
                        Proceedings
                
            
                    Proceedings of the 14th International Conference on Computer Analysis of Images and Patterns, CAIP 2011
                
            
                    Series
                
            
                    Lecture Notes in Computer Science
                
            
                    Conference
                
            
                    The 14th International Conference on Computer Analysis of Images and Patterns
                
            
                    ISBN
                
            
                    978-3-642-23671-6
                
            
                    Publisher
                
            
                    Springer Verlag
                
            
                    Place
                
            
                    Berlin Heidelberg
                
            
                    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"
}
                
                Projects
            
        
        
            
        
    
    
        Security-Oriented Research in Information Technology, MŠMT, Institucionální prostředky SR ČR (např. VZ, VC), MSM0021630528, start: 2007-01-01, end: 2013-12-31, running
            
        
                Departments