title:: US8527251B2 — Method and system for multi-component heart and aorta modeling for decision support in cardiac disease
patent:: US8527251B2
status:: granted 2013-09-03 · Expired - Fee Related
filed:: 2010-04-30
assignee:: Siemens AG
people:: Razvan Ioan Ionasec, Puneet Sharma, Bogdan Georgescu, Andrey Torzhkov, Fabian Moerchen, Gayle M. Wittenberg, Dmitriy Fradkin, Dorin Comaniciu
domain:: Machine Learning, Clinical Decision Support, Computational Fluid Dynamics, Computational Modeling
link:: https://patents.google.com/patent/US8527251B2/en
Figure 1 from the published patent document. Patent drawings are public records.
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.
Data Points
- US8527251B2 — granted US patent (kind code B2)
- Filed 2010-04-30, granted 2013-09-03
- Legal status today — Expired - Fee Related
- Assignee — Siemens AG
- Co-inventors — Puneet Sharma, Bogdan Georgescu, Andrey Torzhkov, Fabian Moerchen, Gayle M. Wittenberg, Dmitriy Fradkin, Dorin Comaniciu
Part of the complete record in Patents.
