• DocumentCode
    284849
  • Title

    Left ventricle motion analysis by hierarchical decomposition

  • Author

    Chen, Chang Wen ; Huang, Thomas S.

  • Author_Institution
    Coordinated Sci. Lab., Illinois Univ., Urbana, IL, USA
  • Volume
    3
  • fYear
    1992
  • fDate
    23-26 Mar 1992
  • Firstpage
    273
  • Abstract
    An approach to the modeling and analysis of left ventricle motion and deformation is presented. The hierarchical motion model of the left ventricle is constructed by combining several simple models and is able to capture major motion and deformation components that are already confirmed by medical observations. The hierarchical decomposition characterizes the left ventricle motion and deformation in a coarse-to-fine fashion and leads to computationally efficient estimation algorithms. The global rigid motion of the left ventricle is estimated by establishing a time-varying object-centered coordinate system. The global and local deformations of the left ventricle are obtained by fitting the given data to superquadric and spherical harmonic modeling primitives, respectively. The animation of estimation results is consistent with prior knowledge of the left ventricle and therefore shows the success of the hierarchical decomposition based approach
  • Keywords
    cardiology; diagnostic radiography; image sequences; medical image processing; motion estimation; animation; coarse-to-fine fashion; computationally efficient estimation algorithms; deformation components; global rigid motion; hierarchical decomposition; left ventricle motion; medical observations; time-varying object-centered coordinate system; Animation; Deformable models; Heart; Image analysis; Image motion analysis; Image sequence analysis; Image sequences; Motion analysis; Motion estimation; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1992. ICASSP-92., 1992 IEEE International Conference on
  • Conference_Location
    San Francisco, CA
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-0532-9
  • Type

    conf

  • DOI
    10.1109/ICASSP.1992.226198
  • Filename
    226198