Method and system for multi-component heart and aorta modeling for decision support in cardiac disease

An apparatus for multi-component heart modeling and cardiac disease decision support, comprising:

• means for generating a multi-component patient specific 4D geometric model of the heart and aorta estimated from a sequence of volumetric cardiac imaging data of a patient generated using at least one medical imaging modality comprising:
• means for estimating individual 4D models for a plurality of heart components in said at least one sequence of volumetric cardiac imaging data, and
• means for generating a patient specific 4D geometrical heart model by integrating the individual 4D models for each of said plurality of heart components;
• means for 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;
• and
• means for generating a patient specific biomechanical model based on Fluid Structure Interaction (FSI) simulations using the 4D computational model;
• means for extracting patient specific clinical parameters based on the 4D geometric model and the FSI simulations;
• and
• means for performing disease progression modeling and risk stratification based on the patient specific clinical parameters.

A non-transitory computer readable medium encoded with computer executable instructions for multi-component heart modeling and cardiac disease decision support, the computer executable instructions defining steps comprising:

• receiving at least one sequence of volumetric cardiac imaging data of the 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 generated using at least one medical imaging modality 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.