• DocumentCode
    2647012
  • Title

    Dense nonrigid motion tracking from a sequence of velocity fields

  • Author

    Meyer, Fraçois G. ; Constable, R. Todd ; Sinusas, Albert J. ; Duncan, James S.

  • Author_Institution
    Dept. of Diagnostic Radiol., Yale Univ. Sch. of Med., New Haven, CT, USA
  • fYear
    1996
  • fDate
    18-20 Jun 1996
  • Firstpage
    839
  • Lastpage
    844
  • Abstract
    We have addressed the problem of tracking the non-rigid motion of the heart using a sequence of velocity fields and a sequence of contours. The information from both the contours and the dense velocity fields is integrated into a deforming mesh that is placed over the myocardium at one time frame and then tracked over the entire cardiac cycle. The deformation is guided by a smoothing filter that provides a compromise between (i) believing the dense field velocity and the contour data when it is crisp and coherent in a local spatial and temporal sense and (ii) employing a temporally smooth cyclic model of cardiac motion when contour and velocity data are not trustworthy. The method has been carefully evaluated with simulated data and phantom data. Experiments with in vivo data have also been conducted
  • Keywords
    image sequences; medical image processing; motion estimation; cardiac cycle; cardiac motion; contours sequences; deforming mesh; dense nonrigid motion tracking; myocardium; smoothing filter; velocity fields; velocity fields sequence; Biomedical imaging; Computed tomography; Heart; Information filtering; Magnetic resonance imaging; Medical diagnostic imaging; Myocardium; Radiology; Smoothing methods; Tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 1996. Proceedings CVPR '96, 1996 IEEE Computer Society Conference on
  • Conference_Location
    San Francisco, CA
  • ISSN
    1063-6919
  • Print_ISBN
    0-8186-7259-5
  • Type

    conf

  • DOI
    10.1109/CVPR.1996.517169
  • Filename
    517169