• DocumentCode
    2074891
  • Title

    Cardiac Deformation Recovery using a 3D Incompressible Deformable Model

  • Author

    Bistoquet, Arnaud ; Parks, W. James ; Skrinjar, Oskar

  • Author_Institution
    Georgia Institute of Technology, USA
  • fYear
    2006
  • fDate
    17-22 June 2006
  • Firstpage
    69
  • Lastpage
    69
  • Abstract
    This paper presents a method for cardiac deformation recovery from 3D MR image sequences. The main contribution of this work is that the method is mathematically guaranteed to generate incompressible deformations. This is a desirable property since the myocardium has been shown to be close to incompressible. The method is based on an incompressible deformable model that has a relatively small number of parameters. The myocardium needs to be segmented in an initial frame after which the method automatically determines the tissue deformation everywhere in the myocardium throughout the cardiac cycle. The method has been tested with seven 3D cardiac MR image sequences for the left ventricle, and it has been evaluated against manual segmentation and tagged MR image sequences. The volume agreement between the model and the manual segmentation exceeds 95%, the distance between the model and the manually generated endocardial and epicardial surfaces is 1.5mm on average, and the distance between the model and the intersection of the tagged lines is 0.7mm on average.
  • Keywords
    Biomedical imaging; Capacitive sensors; Deformable models; Diffusion tensor imaging; Heart; Image segmentation; Image sequences; Magnetic resonance imaging; Myocardium; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition Workshop, 2006. CVPRW '06. Conference on
  • Print_ISBN
    0-7695-2646-2
  • Type

    conf

  • DOI
    10.1109/CVPRW.2006.50
  • Filename
    1640510