• DocumentCode
    3062596
  • Title

    Analysis of left ventricle global deformation based on dynamic CT data

  • Author

    Chen, Chang Wen ; Huang, Thomas S.

  • Author_Institution
    Beckman Inst., Illinois Univ., Urbana, IL, USA
  • fYear
    1992
  • fDate
    30 Aug-3 Sep 1992
  • Firstpage
    443
  • Lastpage
    446
  • Abstract
    Addresses the problem of estimating left ventricle rigid and nonrigid motions from 3D dynamic CT data via a model-based approach. The authors have developed a two-stage scheme to estimate the motion and deformation of the left ventricle. In the first stage, the rigid motion of the left ventricle is computed from the position and orientation change of an object-centered coordinate system. In the second stage, the global deformations of the left ventricle are estimated by fitting the digital surface to superquadric modeling primitives which are used to model the time-varying and deformable left ventricle shape. Deformation operations, such as tapering and bending, are applied to the basic superquadric modeling primitives in order to capture the complex nature of the left ventricle shape and nonrigid motions
  • Keywords
    cardiology; computerised tomography; image sequences; medical image processing; motion estimation; patient monitoring; 3D dynamic CT data; bending; cardiology; computerised tomography; image sequences; left ventricle global deformation; medical image processing; motion estimation; object-centered coordinate system; patient monitoring; superquadric modeling primitives; tapering; Computed tomography; Deformable models; Heart; Image motion analysis; Image sequence analysis; Image sequences; Motion analysis; Motion estimation; Shape; Surface fitting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1992. Vol.III. Conference C: Image, Speech and Signal Analysis, Proceedings., 11th IAPR International Conference on
  • Conference_Location
    The Hague
  • Print_ISBN
    0-8186-2920-7
  • Type

    conf

  • DOI
    10.1109/ICPR.1992.202020
  • Filename
    202020