• DocumentCode
    2462875
  • Title

    Fast segmentation, tracking, and analysis of deformable objects

  • Author

    Nastar, Chahab ; Ayache, Nicholas

  • Author_Institution
    INRIA Rocquencourt, Le Chesnay, France
  • fYear
    1993
  • fDate
    11-14 May 1993
  • Firstpage
    275
  • Lastpage
    279
  • Abstract
    The authors present a physically based deformable model which can be used to track and analyze non-rigid motion of dynamic structures in time sequences of 2-D or 3-D medical images. The model considers an object undergoing an elastic deformation as a set of masses linked by springs, where the natural length of the springs is set equal to zero and is replaced by a set of constant equilibrium forces, which characterize the shape of the elastic structure in the absence of external forces. This model has the extremely nice property of yielding dynamic equations which are linear and decoupled for each coordinate, irrespective of the amplitude of the deformation. It provides a reduced algorithmic complexity, and a sound framework for modal analysis, which allows a compact representation of a general deformation by a reduced number of parameters. The power of the approach to segment, track and analyze 2-D and 3-D images is demonstrated by a set of experimental results on various complex medical images
  • Keywords
    computational complexity; image segmentation; medical image processing; 2D images; 3-D images; algorithmic complexity; deformable objects analysis; dynamic equations; dynamic structures; medical images; nonrigid motion; physically based deformable model; time sequences; tracking; Biomedical imaging; Deformable models; Image analysis; Image motion analysis; Image segmentation; Image sequence analysis; Motion analysis; Shape; Springs; Tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision, 1993. Proceedings., Fourth International Conference on
  • Conference_Location
    Berlin
  • Print_ISBN
    0-8186-3870-2
  • Type

    conf

  • DOI
    10.1109/ICCV.1993.378206
  • Filename
    378206