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. 15, 2015
Filed:
Mar. 14, 2013
Kristof Ralovich, Munich, DE;
Lucian Mihai Itu, Brasov, RO;
Viorel Mihalef, Keasbey, NJ (US);
Puneet Sharma, Monmouth Junction, NJ (US);
Razvan Ioan Ionasec, Princeton, NJ (US);
Dime Vitanovski, Erlangen, DE;
Waldemar Krawtschuk, Erlangen, DE;
Dorin Comaniciu, Princeton Junction, NJ (US);
Kristof Ralovich, Munich, DE;
Lucian Mihai Itu, Brasov, RO;
Viorel Mihalef, Keasbey, NJ (US);
Puneet Sharma, Monmouth Junction, NJ (US);
Razvan Ioan Ionasec, Princeton, NJ (US);
Dime Vitanovski, Erlangen, DE;
Waldemar Krawtschuk, Erlangen, DE;
Dorin Comaniciu, Princeton Junction, NJ (US);
Siemens Aktiengesellschaft, Munich, DE;
Abstract
A method and system for non-invasive hemodynamic assessment of aortic coarctation from medical image data, such as magnetic resonance imaging (MRI) data is disclosed. Patient-specific lumen anatomy of the aorta and supra-aortic arteries is estimated from medical image data of a patient, such as contrast enhanced MRI. Patient-specific aortic blood flow rates are estimated from the medical image data of the patient, such as velocity encoded phase-contrasted MRI cine images. Patient-specific inlet and outlet boundary conditions for a computational model of aortic blood flow are calculated based on the patient-specific lumen anatomy, the patient-specific aortic blood flow rates, and non-invasive clinical measurements of the patient. Aortic blood flow and pressure are computed over the patient-specific lumen anatomy using the computational model of aortic blood flow and the patient-specific inlet and outlet boundary conditions.