1. A method for multi-component heart modeling and cardiac disease decision support, comprising: receiving at least one sequence of volumetric cardiac imaging data of a patient generated using at least one medical imaging modality; generating a multi-component patient specific 4D geometric model of the heart and aorta estimated from the at least one sequence of volumetric cardiac imaging data of the patient by: estimating individual 4D models for a plurality of heart components in said at least one sequence of volumetric cardiac imaging data, and generating a patient specific 4D geometrical heart model by integrating the individual 4D models for each of said plurality of heart components; generating a patient specific 4D computational model based on one or more of personalized geometry, material properties, fluid boundary conditions, and flow velocity measurements in the 4D geometric model; generating a patient specific biomechanical model based on Fluid Structure Interaction (FSI) simulations using the 4D computational model; extracting patient specific clinical parameters based on the 4D geometric model and the FSI simulations; and performing disease progression modeling and risk stratification based on the patient specific clinical parameters.