Result Details
Delaunay-Based Vector Segmentation of Volumetric Medical Images
        ŠPANĚL, M.; KRŠEK, P.; ŠVUB, M.; ŠTANCL, V.; ŠILER, O. Delaunay-Based Vector Segmentation of Volumetric Medical Images. Proceedings of the 12th International Conference on Computer Analysis of Images and Patterns, CAIP 2007. Lecture Notes in Computer Science. Lecture Notes in Computer Science. Berlin Heidelberg: Springer Verlag, 2007. no. 08, p. 261-269.  ISBN: 3-540-74271-9. ISSN: 0302-9743.
    
                Type
            
        
                conference paper
            
        
                Language
            
        
                English
            
        
            Authors
            
        
                Španěl Michal, doc. Ing., Ph.D., FIT (FIT), DCGM (FIT)
                
Kršek Přemysl, doc. Ing., Ph.D., DCGM (FIT), UTKO (FEEC), ÚCHM (FCH)
Švub Miroslav, Ing., FIT (FIT), DCGM (FIT)
Štancl Vít, Ing., FIT (FIT), DCGM (FIT)
Šiler Ondřej, Ing., FIT (FIT), DCGM (FIT)
        Kršek Přemysl, doc. Ing., Ph.D., DCGM (FIT), UTKO (FEEC), ÚCHM (FCH)
Švub Miroslav, Ing., FIT (FIT), DCGM (FIT)
Štancl Vít, Ing., FIT (FIT), DCGM (FIT)
Šiler Ondřej, Ing., FIT (FIT), DCGM (FIT)
                    Abstract
            
        The image segmentation plays an important role in medical imageprocessing. Many segmentation algorithms exist. Most of them produceraster data which is not suitable for 3D geometrical modeling of humantissues. In this paper, a vector segmentation algorithm based on 3DDelaunay triangulation is proposed. Tetrahedral mesh is used to dividevolumetric CT/MR data into non-overlapping regions whosecharacteristics are similar. Novel methods for improving quality of themesh and its adaptation to the 3D image structure are also presented.
                Keywords
            
        Medical image processing, CT/MRI data, vector image segmentation, 3D Delaunay triangulation, tetraheral mesh, isotropic meshing, classification.
                URL
            
        
                Published
            
            
                    2007
                    
                
            
                    Pages
                
            
                        261–269
                
            
                    Journal
                
            
                    Lecture Notes in Computer Science, vol. 4673, no. 08, ISSN 0302-9743
                
            
                        Proceedings
                
            
                    Proceedings of the 12th International Conference on Computer Analysis of Images and Patterns, CAIP 2007
                
            
                    Series
                
            
                    Lecture Notes in Computer Science
                
            
                    Conference
                
            
                    The 12th International Conference on Computer Analysis of Images and Patterns
                
            
                    ISBN
                
            
                    3-540-74271-9
                
            
                    Publisher
                
            
                    Springer Verlag
                
            
                    Place
                
            
                    Berlin Heidelberg
                
            
                    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="Lecture Notes in Computer Science",
  journal="Lecture Notes in Computer Science",
  volume="4673",
  number="08",
  pages="261--269",
  publisher="Springer Verlag",
  address="Berlin Heidelberg",
  isbn="3-540-74271-9",
  issn="0302-9743",
  url="https://www.fit.vut.cz/research/publication/8409/"
}
                
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        Security-Oriented Research in Information Technology, MŠMT, Institucionální prostředky SR ČR (např. VZ, VC), MSM0021630528, start: 2007-01-01, end: 2013-12-31, running
            
        
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