Non-rigid cardiac motion quantification from 2D image sequences based on wavelet synthesis

摘要

Motion quantification from 2D sequential cardiac images has been performed on axial images of the left ventricle (LV) obtained from two different imaging modalities (MRI and Echocardiography images). The detail point wise motion vectors were evaluated by establishing shape correspondence between the consecutive contours after reconstructing curvature information by wavelet synthesis filters at multiple levels. We present a simple approach that optimizes the shape correspondence taking the non-uniform contour variation in to account. The shape matching is done by maximizing the correlation between the approximation coefficient vectors at certain levels. The algorithm has been tested over sets of 2D images and the results are compared with that obtained from a bending energy model. Some experimental results have also been presented for validation of the algorithm.