• DocumentCode
    1877966
  • Title

    Gaussian curvature flowmodel for colonic polyp detection in CT colonography

  • Author

    Chen, Dongqing ; Farag, Aly A. ; Falk, Robert L. ; Dryden, Gerald W.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Louisville, Louisville, KY
  • fYear
    2008
  • fDate
    12-15 Oct. 2008
  • Firstpage
    2988
  • Lastpage
    2991
  • Abstract
    In this paper, we propose a novel anisotropic 3D surface evolution model for detecting protrusion shape based colonic polyp on the curved surface. The important feature of the proposed model is that it can detect protrusions with both convex and concave shapes. Protrusion shapes are defined as the extension beyond the usual limits or above a plane surface. Based on Gaussian and mean curvature flows, the approach works by locally deforming the convex or concave surface until the second principal curvature goes to zero. The diffusion directions are changed to prevent convex surfaces from converting into concave shapes, and vice versa. The deformation field quantitatively measures the amount of protrudeness. The proposed method has been evaluated by using synthetic phantoms and real colon datasets.
  • Keywords
    cancer; computerised tomography; medical image processing; object detection; CT colonography; anisotropic 3D surface evolution model; colonic polyp; colorectal cancer; protrusion shape; Colonic polyps; Virtual colonoscopy; 3D Shape Representation; CT Colonography; Colorectal Cancer; Curvature Flow;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on
  • Conference_Location
    San Diego, CA
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-1765-0
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2008.4712423
  • Filename
    4712423