Computational Fluid Dynamics as a Diagnostic Tool

Local altered fluid dynamics is assumed to play a role in aortic patho-physiology and to be a key factor responsible for flow-mediated remodeling and aortic weakening leading to aortic wall diseases.

Our research integrates modeling techniques and medical imaging for an improved patient-specific aortic assessment aimed at supporting outcomes prediction, risk stratification and disease management.

In this context image-based computational fluid dynamics modeling of aortic blood flow gives access to patient-specific flow related information that may complement medical imaging in the assessment of individual aortas.

The combination of fluid dynamic information and in-vivo strain analysis allows for the non-invasive assessment of regional aortic weakening by producing a topographically accurate mapping of the aortic wall strength (Regional Rupture Potential). This combined approach has the potential to provide critical insights on the state of individual aortas and assist vascular surgeons in the management of aortic wall diseases.