• DocumentCode
    2206204
  • Title

    Analysis of Cardiac Wall Motion from Multi-Phase 3D Images

  • Author

    Xu, Zhen-hai ; Wang, W.-L. ; Guan, Qiu ; Chen, S.Y.

  • Author_Institution
    Coll. of Inf. Eng., Zhejiang Univ. of Technol., Hangzhou
  • fYear
    2006
  • fDate
    14-17 Nov. 2006
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    A new approach is presented for analyzing the wall motion of cardiac left ventricle (LV) from 3D single photon emission computed tomography images. The technique applied in this paper is based on a statistical model which is one of special of physics-based deformable models. By means of content adaptive object model (CAOM) method, endocardial and epicardial surfaces of the LV can be obtained, thus a geometrical and grey-level model is built to represent wall motion by examining multi-phase cardiac images. Finally, the deformation and dynamic motion of the LV are estimated in terms of some parameters that vary during a heart cycle (about 700 ms). With the help of these parameters, physicians can characterize the motion of the LV in a clinically way and have a better treatment for possible diseases
  • Keywords
    cardiology; image motion analysis; medical image processing; single photon emission computed tomography; statistical analysis; CAOM method; cardiac left ventricle; cardiac wall motion analysis; content adaptive object model; endocardial surface; epicardial surface; multiphase 3D image; physics-based deformable model; single photon emission computed tomography; statistical model; Cardiac disease; Cardiovascular diseases; Deformable models; Heart; Image analysis; Image motion analysis; Motion analysis; Motion estimation; Single photon emission computed tomography; Solid modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    TENCON 2006. 2006 IEEE Region 10 Conference
  • Conference_Location
    Hong Kong
  • Print_ISBN
    1-4244-0548-3
  • Electronic_ISBN
    1-4244-0549-1
  • Type

    conf

  • DOI
    10.1109/TENCON.2006.343798
  • Filename
    4142473