• DocumentCode
    3208865
  • Title

    Biventricular myocardial kinematics based on tagged MRI from anatomical NURBS models

  • Author

    Tustison, N.J. ; Abendschein, D. ; Amini, A.A.

  • Author_Institution
    Cardiovascular Image Anal. Lab., Washington Univ., St. Louis, MO, USA
  • Volume
    2
  • fYear
    2004
  • fDate
    27 June-2 July 2004
  • Abstract
    We present current research in which both left and right ventricular deformation is estimated from tagged cardiac magnetic resonance imaging using volumetric deformable models with a nonuniform rational D-splines (NURBS) basis. From a set of short and long axis images, the initial NURBS model is constructed by fitting two surfaces with the same parameterization to the set of epicardial and endocardial contours from which a volumetric model is created. Using displacement information derived from tag line and contour data, we can solve for the optimal homogeneous coordinates, in a least-squares sense, of the NURBS model at a later time point using quadratic programming. After fitting to all time points of data, lofting the NURBS model for each time point creates a comprehensive 4-D NURBS model. From this model 3-D myocardial displacement fields and corresponding strain maps, which are local measures of nonrigid deformation, become available.
  • Keywords
    biomedical MRI; biomedical measurement; blood vessels; cardiovascular system; haemodynamics; quadratic programming; anatomical NURBS models; biventricular myocardial kinematics; nonuniform rational D-splines; quadratic programming; tagged MRI; ventricular deformation; volumetric deformable models; Deformable models; Kinematics; Magnetic resonance imaging; Myocardium; Quadratic programming; Spline; Strain measurement; Surface fitting; Surface reconstruction; Surface topography;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 2004. CVPR 2004. Proceedings of the 2004 IEEE Computer Society Conference on
  • ISSN
    1063-6919
  • Print_ISBN
    0-7695-2158-4
  • Type

    conf

  • DOI
    10.1109/CVPR.2004.1315207
  • Filename
    1315207