• DocumentCode
    2959982
  • Title

    Deformable tree models for 2D and 3D branching structures extraction

  • Author

    Mille, Julien ; Cohen, Laurent D.

  • Author_Institution
    CEREMADE, Univ. Paris Dauphine, Paris, France
  • fYear
    2009
  • fDate
    20-25 June 2009
  • Firstpage
    149
  • Lastpage
    156
  • Abstract
    The proposed model is devoted to the segmentation and reconstruction of branching structures, like vascular trees. We rely on an explicit representation of a deformable tree, where topological relationships between segments are modeled. This allows easy posterior interactions and quantitative analysis, such as measuring diameters or lengths of vessels. Starting from a unique user-provided root point, an initial tree is built with a technique relying on minimal paths. Within the constructed tree, the central curve of each segment and an associated variable radius function evolve in order to satisfy a region homogeneity criterion.
  • Keywords
    feature extraction; image reconstruction; image segmentation; 2D branching structures extraction; 3D branching structures extraction; branching structure reconstruction; branching structure segmentation; deformable tree model; posterior interaction; quantitative analysis; Angiography; Computed tomography; Data mining; Deformable models; Image segmentation; Length measurement; Pixel; Retina; Tree data structures; Voting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition Workshops, 2009. CVPR Workshops 2009. IEEE Computer Society Conference on
  • Conference_Location
    Miami, FL
  • ISSN
    2160-7508
  • Print_ISBN
    978-1-4244-3994-2
  • Type

    conf

  • DOI
    10.1109/CVPRW.2009.5204049
  • Filename
    5204049