Hemodynamic and Morphological predictors of Vascular Graft Failure

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.