Reduced order methods for parametric optimal flow control in coronary bypass grafts, towards patient-specific data assimilation

Understand

Coronary artery bypass grafts (CABG) surgery is an invasive procedure performed to circumvent partial or complete blood flow blockage in coronary artery disease (CAD).

• In this work, we apply a numerical optimal flow control model to patient-specific geometries of CABG, reconstructed from clinical images of real-life surgical cases, in parameterized settings.
• The aim of these applications is to match known physiological data with numerical hemodynamics corresponding to different scenarios, arisen by tuning some parameters.
• Such applications are an initial step towards matching patient-specific physiological data in patient-specific vascular geometries as best as possible.