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Automatic tracking of SPAMM grid and the estimation of deformation parameters from cardiac MR images

In this paper, we present a new approach for the automatic tracking of SPAMM (Spatial Modulation of Magnetization) grid in Cardiac MR images and consequent estimation of deformation parameters. The tracking is utilized to extract grid points from MR images and to establish correspondence between grid points in images taken at consecutive frames. These correspondences are used with a thin plate spline model to establish a mapping from one image to the next. This mapping is then used for motion and deformation estimation. Spatio- temporal tracking of SPAMM grid is achieved by using snakes--active contour models with an associated energy functional. We present a minimization strategy which is suitable for tracking the SPAMM grid. By continuously minimizing their energy functionals, the snakes lock on to and follow the in-slice motion and deformation of the SPAMM grid.