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The quantitative estimation of regional cardiac deformation from 3D image sequences has important clinical implications for the as- sessment of myocardial viability. The validation of such image-derived estimates, however, is a non-trivial problem as it is very dicult to obtain ground truth. In this work we present an approach to validat- ing strain estimates derived from 3D cine-Magnetic Resonance (MR) and 3D Echocardiography (3DE) images using our previously-developed shape-based tracking algorithm. The images are segmented interactively and then initial correspondence is established using a shape-tracking ap- proach. A dense motion field is then estimated using a transversely linear elastic model, which accounts for the fiber directions in the left ventricle. The dense motion field is in turn used to calculate the deformation of the heart wall in terms of strains. The strains obtained using our algo- rithm are compared to strains estimated using implanted markers and sonomicrometers, which are used as the gold standards. These prelimi- nary studies show encouraging results.

Estimating 3D Strain from 4D Cine-MRI and Echocardiography: In-Vivo Validation