• DocumentCode
    1829988
  • Title

    Surface segmentation of long bone structures from 3D CT images using a deformable contour model

  • Author

    Burdin, Valérie ; Roux, Christian

  • Author_Institution
    Dept. Image et Traitement de l´´Inf., Telecom Bretagne, Brest, France
  • fYear
    1994
  • fDate
    3-6 Nov 1994
  • Firstpage
    512
  • Abstract
    The authors present a method for the surface segmentation of long bone structures from 3D CT images using a deformable contour model. The structural property of the elongated structures allows the authors to use the resulting contour to initialize the process in the following transversal slice. The presented results show the relevance and the efficiency of the method
  • Keywords
    bone; computerised tomography; image segmentation; medical image processing; modelling; surface topography measurement; 3D CT images; deformable contour model; long bone structures; medical diagnostic imaging; structural property; surface segmentation; transversal slice; Bones; Computed tomography; Damping; Data mining; Deformable models; Equations; Finite element methods; Image segmentation; Lagrangian functions; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 1994. Engineering Advances: New Opportunities for Biomedical Engineers. Proceedings of the 16th Annual International Conference of the IEEE
  • Conference_Location
    Baltimore, MD
  • Print_ISBN
    0-7803-2050-6
  • Type

    conf

  • DOI
    10.1109/IEMBS.1994.411928
  • Filename
    411928