Sensitivity analysis for electrical detection of aortic dissection

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.
Original languageEnglish
Title of host publicationProceedings in Applied Mathematics and Mechanics
Subtitle of host publication90th Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM)
PublisherWiley-VCH
Number of pages2
Volume19,1
DOIs
Publication statusPublished - Nov 2019
EventGAMM 2019: 90th Annual Meeting of the International Association of Applied Mathematics and Mechanics - Vienna, Austria
Duration: 18 Feb 201922 Feb 2019

Conference

ConferenceGAMM 2019
CountryAustria
CityVienna
Period18/02/1922/02/19

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