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. 08, 2015
Filed:
Feb. 01, 2013
Tommaso Mansi, Westfield, NJ (US);
Viorel Mihalef, Keasbey, NJ (US);
Xudong Zheng, Plainsboro, NJ (US);
Bogdan Georgescu, Plainsboro, NJ (US);
Saikiran Rapaka, Eagleville, PA (US);
Puneet Sharma, Rahway, NJ (US);
Ali Kamen, Skillman, NJ (US);
Dorin Comaniciu, Princeton Junction, NJ (US);
Tommaso Mansi, Westfield, NJ (US);
Viorel Mihalef, Keasbey, NJ (US);
Xudong Zheng, Plainsboro, NJ (US);
Bogdan Georgescu, Plainsboro, NJ (US);
Saikiran Rapaka, Eagleville, PA (US);
Puneet Sharma, Rahway, NJ (US);
Ali Kamen, Skillman, NJ (US);
Dorin Comaniciu, Princeton Junction, NJ (US);
Siemens Aktiengesellschaft, Munich, DE;
Abstract
Method and system for computation of advanced heart measurements from medical images and data; and therapy planning using a patient-specific multi-physics fluid-solid heart model is disclosed. A patient-specific anatomical model of the left and right ventricles is generated from medical image patient data. A patient-specific computational heart model is generated based on the patient-specific anatomical model of the left and right ventricles and patient-specific clinical data. The computational model includes biomechanics, electrophysiology and hemodynamics. To generate the patient-specific computational heart model, initial patient-specific parameters of an electrophysiology model, initial patient-specific parameters of a biomechanics model, and initial patient-specific computational fluid dynamics (CFD) boundary conditions are marginally estimated. A coupled fluid-structure interaction (FSI) simulation is performed using the initial patient-specific parameters, and the initial patient-specific parameters are refined based on the coupled FSI simulation. The estimated model parameters then constitute new advanced measurements that can be used for decision making.