Method and System for Multi-Component Heart and Aorta Modeling for Decision Support in Cardiac Disease
First Claim
1. A method for multi-component heart modeling and cardiac disease decision support, comprising:
- 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;
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.
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Abstract
A method and system for generating a patient specific anatomical heart model is disclosed. Volumetric image data, such as computed tomography (CT), echocardiography, or magnetic resonance (MR) image data of a patient'"'"'s cardiac region is received. Individual models for multiple heart components, such as the left ventricle (LV) endocardium, LV epicardium, right ventricle (RV), left atrium (LA), right atrium (RA), mitral valve, aortic valve, aorta, and pulmonary trunk, are estimated in said volumetric cardiac image data. A multi-component patient specific anatomical heart model is generated by integrating the individual models for each of the heart components. Fluid Structure Interaction (FSI) simulations are performed on the patient specific anatomical model, and patient specific clinical parameters are extracted based on the patient specific heart model and the FSI simulations. Disease progression modeling and risk stratification are performed based on the patient specific clinical parameters.
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Citations
21 Claims
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1. A method for multi-component heart modeling and cardiac disease decision support, comprising:
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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; 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. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13)
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14. An apparatus for multi-component heart modeling and cardiac disease decision support, comprising:
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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; 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. - View Dependent Claims (15, 16, 17)
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18. 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:
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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; 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. - View Dependent Claims (19, 20, 21)
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Specification