• DocumentCode
    3173862
  • Title

    Fully-automatic Branching Reconstruction Algorithm: Application to Vascular Trees

  • Author

    Hijazi, Younis ; Bechmann, Dominique ; Cazier, David ; Kern, Cyril ; Thery, Sylvain

  • Author_Institution
    CNRS, Univ. of Strasbourg, Strasbourg, France
  • fYear
    2010
  • fDate
    21-23 June 2010
  • Firstpage
    221
  • Lastpage
    225
  • Abstract
    Reconstructing tubular structures with high-order branching is a difficult task to perform automatically. Medical applications in particular demand accurate models of such objects that fulfill specific topological and geometric criteria. Indeed, the reconstructed object should be a 2-manifold surface with compact, adaptive geometry. We present a generic algorithm for automatically reconstructing n-furcated tubular surfaces. Our approach relies on a strong underlying topological structure and a novel n-furcation reconstruction algorithm using convex entities.
  • Keywords
    computer graphics; image reconstruction; medical computing; mesh generation; solid modelling; 2-manifold surface; adaptive geometry; full-automatic branching reconstruction algorithm; n-furcated tubular surface reconstruction; object reconstruction; tubular structure reconstruction; vascular trees; Biomedical equipment; Iterative algorithms; Medical services; Partitioning algorithms; Reconstruction algorithms; Robustness; Shape; Surface fitting; Surface reconstruction; Tree data structures; automatic; branching; furcation; half-edge; modeling; topology; vascular;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Shape Modeling International Conference (SMI), 2010
  • Conference_Location
    Aix-en-Provence
  • Print_ISBN
    978-1-4244-7259-8
  • Electronic_ISBN
    978-1-4244-7260-4
  • Type

    conf

  • DOI
    10.1109/SMI.2010.34
  • Filename
    5521466