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Characterization of cardiac motion can be derived from a pre-operatively acquired image sequence of an entire cardiac cycle. However, changes in the patient.s cardiac morphology and physiology during and after interventions will not be reflected in the pre-acquired data. What is needed is a faithful, patient-specific deformable model of the heart that can be used on-line with interventional cardiac procedures. Diffusionencoded magnetic resonance imaging provides data for more precise modeling of a specific heart. A computer simulation which integrates fiber information with a physics-based mechanical model and a simulated electrical conduction model has been developed to realistically mimic cardiac dynamics. Such a model can ultimately be used to guide treatment interventions and to predict surgical outcomes.

A Framework for Patient-Specific Physics-Based Simulation and Interactive Visualization of Cardiac Dynamics