The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Sep. 03, 2013
Filed:
Apr. 30, 2010
Razvan Ioan Ionasec, Lawrenceville, NJ (US);
Puneet Sharma, Rahway, NJ (US);
Bogdan Georgescu, Plainsboro, NJ (US);
Andrey Torzhkov, Jersey City, NJ (US);
Fabian Moerchen, Rocky Hill, NJ (US);
Gayle M. Wittenberg, Plainsboro, NJ (US);
Dmitriy Fradkin, Princeton, NJ (US);
Dorin Comaniciu, Princeton Junction, NJ (US);
Razvan Ioan Ionasec, Lawrenceville, NJ (US);
Puneet Sharma, Rahway, NJ (US);
Bogdan Georgescu, Plainsboro, NJ (US);
Andrey Torzhkov, Jersey City, NJ (US);
Fabian Moerchen, Rocky Hill, NJ (US);
Gayle M. Wittenberg, Plainsboro, NJ (US);
Dmitriy Fradkin, Princeton, NJ (US);
Dorin Comaniciu, Princeton Junction, NJ (US);
Siemens Aktiengesellschaft, Munich, DE;
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.