Image-Based Numerical Predictions of Hemodynamics following Vascular Intervention

Investigator: David Saloner, PhD

Location(s): United States


The goal of the proposed project is to develop an image-based computational methodology which would enable simulation of relevant hemodynamic descriptors in the postoperative vascular geometry and prediction of post-surgical blood vessel remodeling. This modeling methodology will be verified and validated in application to three types of vascular interventions: maturation of arteriovenous fistulas created for hemodialysis access;fusiform cerebral aneurysms treated by occlusion of one or more proximal vessels;and fusiform cerebral aneurysms treated by flow diverter stents. Successful completion of the project will lead to a modeling tool for preoperative evaluation of various treatment options, thereby permitting stratification of patients and individualized treatment.