A NOVEL APPROACH FOR UNCERTAINTY QUANTIFICATION IN PATIENT-SPECIFIC CARDIOVASCULAR MECHANICS

Patient-specific cardiovascular mechanics using computational methods such as the finite element method has gained a lot of interest during the last decade and has helped to improve the assessment of cardiovascular diseases. Whereas it is possible to obtain patientspecific geometries from CT scans, this does not hold for other patient-specific parameters such as constitutive properties. Hence, researchers almost exclusively use population mean values for ”patient-specific” simulations thereby neglecting the interand intra-patient variations present in e.g. the constitutive parameters. In order to strengthen the trust in the predictive capabilities of finite element simulations in cardiovascular mechanics, the aforementioned variations have to be considered in the computational assessment of cardiovascular diseases. This can be achieved by using a probabilistic description for the varying parameters and an efficient Uncertainty Quantification (UQ) framework.