Sensitivity analysis for electrical detection of aortic dissection

In medical and patient-specific applications, uncertainty quantification and sensitivity analysis are indispensable in the process of diagnosis and decision-making. For the identification of an aortic dissection, a 3D FEM model is used to simulate an appropriate measurement setup. Based on this model, a method to evaluate the uncertainty distribution of a pre-defined parameter set is proposed. In particular, sensitivity analysis is divided into two steps. The first step involves an initial screening using the Morris method. In the second step, a sensitivity analysis is performed through a variance-based setting. Here, Polynomial Chaos Expansion (PCE) surrogate model is used. Subsequent post-processing on the study allows the computation of the representative sensitivity indices.