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Cardiac image sequence analysis using a spatiotemporal frequency approach

The estimation of left ventricle motion and deformation from series of images has been an area of attention in the medical image analysis and still remains and open and challenging problem. The proper motion tracking of left ventricle wall can contribute to isolate the location and extent of ischemic or infarcted myocardium. We present a method that automatically estimates the velocity vector field for a beating heart based on the study of variation in frequency content of a time series of non-stationary images. Results obtained with this automated method in synthetic images and cardiac gated-SPECT images are presented.