• DocumentCode
    2809648
  • Title

    An active surface model for volumetric image segmentation

  • Author

    El-Zehiry, Noha ; Elmaghraby, Adel

  • Author_Institution
    Dept. of Comput. Eng. & Comput. Sci., Univ. of Louisville, Louisville, KY, USA
  • fYear
    2009
  • fDate
    June 28 2009-July 1 2009
  • Firstpage
    1358
  • Lastpage
    1361
  • Abstract
    In this paper, we introduce a graph cut based active surface model that incorporates graph cuts optimization tools with implicit surface representation to solve the segmentation problem. We will introduce a discrete formulation of the surface evolution problem, prove that the discrete energy function is graph representable and propose how to optimize it using graph cuts. The advantage of this model is two fold: First, Graph cuts are mostly global optimization tools which makes the model very robust and not sensitive to initialization, moreover, the dynamic labeling associated with graph cuts optimization tools makes the model very fast. Second, the implicit representation of the surface makes it robust to topology changes.
  • Keywords
    image segmentation; medical image processing; active surface model; discrete energy function; graph cuts optimization; implicit surface representation; surface evolution problem; topology change; volumetric image segmentation; Biological system modeling; Computational modeling; Deformable models; Evolution (biology); Image segmentation; Labeling; Level set; Noise robustness; Terminology; Topology; Graph Cust; Surface Evolution; Volumetric Segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging: From Nano to Macro, 2009. ISBI '09. IEEE International Symposium on
  • Conference_Location
    Boston, MA
  • ISSN
    1945-7928
  • Print_ISBN
    978-1-4244-3931-7
  • Electronic_ISBN
    1945-7928
  • Type

    conf

  • DOI
    10.1109/ISBI.2009.5193317
  • Filename
    5193317