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:
Feb. 11, 2025
Filed:
Apr. 26, 2019
Arizona Board of Regents on Behalf of Arizona State University, Scottsdale, AZ (US);
Mayo Foundation for Medical Education and Research, Rochester, MN (US);
Mohamed Haithem Babiker, Tempe, AZ (US);
David H. Frakes, Scottsdale, AZ (US);
Brian W. Chong, Scottsdale, AZ (US);
Mayo Foundation for Medical Education and Research, Scottsdale, AZ (US);
Arizona Board of Regents on Behalf of Arizona State University, Rochester, MN (US);
Abstract
Systems and methods provide a novel computational approach to planning the endovascular treatment of cardiovascular diseases. In particular, the invention simulates medical device deployment and hemodynamic outcomes using a virtual patient-specific anatomical model of the area to be treated, high-fidelity finite element medical device models and computational fluid dynamics (CFD). In an embodiment, the described approach investigates the effects of coil packing density, coil shape, aneurysmal neck size and parent vessel flow rate on aneurysmal hemodynamics. A processor may receive patient clinical data used to construct the relevant anatomical structure model. The processor may access medical device models constructed using finite element analysis and three dimensional beam analysis, and simulates the deployment of selected medical devices in the anatomical structure model. The selected medical device models and the anatomical structure model mesh, allowing the processor to simulate hemodynamic outcomes using computational fluid dynamics.