The Board of Trustees of the Leland Stanford Junior University;The Regents of the University of California
发明人:
Muhammad Owais Khan,Andrew M. Kahn,Alison L. Marsden
申请号：
US16502264
公开号：
US10709400B2
申请日:
2019.07.03
申请国别(地区):
US
年份:
2020
代理人:
摘要：
A non-invasive method to predict post-surgery vascular graft failure is provided. Computer Tomography Angiography (CTA) images are obtained of a patient post-surgery. A personalized three-dimensional computer model of the patient is derived from the obtained CTA images. The personalized three-dimensional computer model distinguishes a Computational Fluid Dynamics (CFD) model coupled with a closed-loop Lumped Parameter Network (LPN). Post-surgery vascular graft predictors are calculated from the personalized three-dimensional computer model indicative, i.e. predictors, of the post-surgery vascular graft failure or vascular stenosis.
