• DocumentCode
    1771968
  • Title

    Automatic vessel tree structure extraction by growing minimal paths and a mask

  • Author

    Da Chen ; Cohen, Laurent D.

  • Author_Institution
    CEREMADE, Univ. Paris Dauphine, Paris, France
  • fYear
    2014
  • fDate
    April 29 2014-May 2 2014
  • Firstpage
    802
  • Lastpage
    805
  • Abstract
    In this paper, we propose a completely automatic method to extract the vessel tree structure including its centerlines and radius using geodesic paths technology. Our main goal is to find a set of key points located in the vessel centerlines, link each pair of key points by minimal paths for finding the vessels between them and stop this process automatically. This work adapts the growing minimal paths method to find the set of key points. The main drawback of growing minimal paths is when to stop the processing. To solve this problem we propose an automatic stopping criteria. Additionally, we use a cake wavelet to compute the vessel measurement consisting of both radius and orientation to develop the classical growing minimal paths model which cannot guarantee the extracted tree corresponds to the centerlines of the vessel tree.
  • Keywords
    blood vessels; differential geometry; feature extraction; masks; medical image processing; wavelet transforms; automatic stopping criteria; automatic vessel tree structure extraction; cake wavelet; geodesic paths technology; mask; Computational modeling; Equations; Frequency modulation; Joining processes; Minimization; Noise; Three-dimensional displays; Vessel extraction; growing minimal paths; isotropic fast marching; key points;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging (ISBI), 2014 IEEE 11th International Symposium on
  • Conference_Location
    Beijing
  • Type

    conf

  • DOI
    10.1109/ISBI.2014.6867992
  • Filename
    6867992