• DocumentCode
    853505
  • Title

    Multiscale vessel tracking

  • Author

    Wink, Onno ; Niessen, Wiro J. ; Viergever, Max A.

  • Author_Institution
    Univ. of Colorado Health Sci. Center, Denver, CO, USA
  • Volume
    23
  • Issue
    1
  • fYear
    2004
  • Firstpage
    130
  • Lastpage
    133
  • Abstract
    A method is presented that uses a vectorial multiscale feature image for wave front propagation between two or more user defined points to retrieve the central axis of tubular objects in digital images. Its implicit scale selection mechanism makes the method more robust to overlap and to the presence of adjacent structures than conventional techniques that propagate a wave front over a scalar image representing the maximum of a range of filters. The method is shown to retain its potential to cope with severe stenoses or imaging artifacts and objects with varying widths in simulated and actual two-dimensional angiographic images.
  • Keywords
    angiocardiography; blood vessels; filtering theory; medical image processing; digital images; filters; imaging artifacts; implicit scale selection mechanism; multiscale vessel tracking; stenoses; two-dimensional angiographic images; vectorial multiscale feature image; wave front propagation; Biomedical imaging; Costs; Digital images; Eigenvalues and eigenfunctions; Filters; Image analysis; Image retrieval; Iterative methods; Medical simulation; Robustness; Algorithms; Anatomy, Cross-Sectional; Angiography; Blood Vessels; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Pattern Recognition, Automated; Subtraction Technique;
  • fLanguage
    English
  • Journal_Title
    Medical Imaging, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0062
  • Type

    jour

  • DOI
    10.1109/TMI.2003.819920
  • Filename
    1256434