### Abstract

Originalsprache | englisch |
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Titel | Proceedings in Applied Mathematics and Mechanics |

Herausgeber (Verlag) | Wiley-VCH |

Seitenumfang | 2 |

Publikationsstatus | Angenommen/In Druck - 2019 |

Veranstaltung | GAMM 2019: 90th Annual Meeting of the International Association of Applied Mathematics and Mechanics - Vienna, Österreich Dauer: 18 Feb 2019 → 22 Feb 2019 |

### Konferenz

Konferenz | GAMM 2019 |
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Land | Österreich |

Ort | Vienna |

Zeitraum | 18/02/19 → 22/02/19 |

### Fingerprint

### Dies zitieren

*Proceedings in Applied Mathematics and Mechanics*Wiley-VCH .

**Sensitivity analysis for electrical detection of aortic dissection.** / Melito, Gian Marco; Badeli, Vahid; Reinbacher-Köstinger, Alice; Ellermann, Katrin.

Publikation: Beitrag in Buch/Bericht/Konferenzband › Beitrag in einem Konferenzband › Forschung › Begutachtung

*Proceedings in Applied Mathematics and Mechanics.*Wiley-VCH , Vienna, Österreich, 18/02/19.

}

TY - GEN

T1 - Sensitivity analysis for electrical detection of aortic dissection

AU - Melito, Gian Marco

AU - Badeli, Vahid

AU - Reinbacher-Köstinger, Alice

AU - Ellermann, Katrin

PY - 2019

Y1 - 2019

N2 - 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.

AB - 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.

M3 - Conference contribution

BT - Proceedings in Applied Mathematics and Mechanics

PB - Wiley-VCH

ER -