• DocumentCode
    1640625
  • Title

    Flux driven fly throughs

  • Author

    Bouix, Sylvain ; Siddiqi, Kaleem ; Tannenbaum, Allen

  • Author_Institution
    Sch. of Comput. Sci., McGill Univ., Montreal, Que., Canada
  • Volume
    1
  • fYear
    2003
  • Abstract
    We present a fast, robust and automatic method for computing central paths through tubular structures for application to virtual endoscopy. The key idea is to utilize a medial surface algorithm, which exploits properties of the average outward flux of the gradient vector field of a Euclidean distance function the boundary of the structure of interest. The algorithm is modified to yield a collection of 3D curves, each of which is locally centered. The approach requires no user interaction, and is virtually parameter free and has low computational complexity. We illustrate the approach on segmented colon and vessel data.
  • Keywords
    blood vessels; endoscopes; image segmentation; medical image processing; virtual reality; 3D curve; Euclidean distance function; average outward flux; central path computation; central path extraction; coronary artery; flux driven fly through; gradient vector field flux; medial curve; medial surface; tubular structure; virtual endoscopy; Biomedical engineering; Biomedical imaging; Blood vessels; Computer science; Computer vision; Endoscopes; Euclidean distance; Image segmentation; Rendering (computer graphics); Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 2003. Proceedings. 2003 IEEE Computer Society Conference on
  • ISSN
    1063-6919
  • Print_ISBN
    0-7695-1900-8
  • Type

    conf

  • DOI
    10.1109/CVPR.2003.1211388
  • Filename
    1211388