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
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;
Conference_Titel :
Computer Vision and Pattern Recognition, 2004. CVPR 2004. Proceedings of the 2004 IEEE Computer Society Conference on
Print_ISBN :
0-7695-2158-4
DOI :
10.1109/CVPR.2004.1315207