• DocumentCode
    2414196
  • Title

    Hierarchical decomposition of vessel skeletons for graph creation and feature extraction

  • Author

    Drechsler, Klaus ; Laura, Cristina Oyarzun

  • Author_Institution
    Cognitive Comput. & Med. Imaging, Fraunhofer Inst. for Comput. Graphics Res. IGD, Darmstadt, Germany
  • fYear
    2010
  • fDate
    18-21 Dec. 2010
  • Firstpage
    456
  • Lastpage
    461
  • Abstract
    Graphs are useful representations of the liver vasculature. They support tree matching algorithms in landmark-based registration algorithms, they are useful to separate connected vessels from two different vessel systems and are the basis of vessel annotation tools. In this paper, we propose a hierarchical decomposition of vessel skeletons into sub-branches. This simplifies the process of creating labeled graphs and extracting features. Furthermore, we propose a measure to classify voxels as branch voxels. We applied our method to several datasets with satisfying results and found that the number of sub-branches is normal distributed under rotation.
  • Keywords
    blood vessels; computerised tomography; feature extraction; graph theory; image matching; image registration; liver; medical image processing; trees (mathematics); feature extraction; graph creation; hierarchical decomposition; landmark-based registration algorithms; liver vasculature; tree matching algorithms; vessel annotation tools; vessel skeletons; Data structures; Feature extraction; Image segmentation; Liver; Portals; Skeleton; Veins; Feature Extraction; Graph; Skeleton;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedicine (BIBM), 2010 IEEE International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-8306-8
  • Electronic_ISBN
    978-1-4244-8307-5
  • Type

    conf

  • DOI
    10.1109/BIBM.2010.5706609
  • Filename
    5706609