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Biomechanics and Modeling in Mechanobiology

, Volume 18, Issue 1, pp 137–153 | Cite as

Inverse identification of local stiffness across ascending thoracic aortic aneurysms

  • Solmaz Farzaneh
  • Olfa Trabelsi
  • Stéphane AvrilEmail author
Original Paper
  • 271 Downloads

Abstract

Aortic dissection is the most common catastrophe of the thoracic aorta, with a very high rate of mortality. Type A dissection is often associated with an ascending thoracic aortic aneurysm (ATAA). However, it is widely acknowledged that the risk of type A dissection cannot be reliably predicted simply by measuring the ATAA diameter and there is a pressing need for more reliable risk predictors. It was previously shown that there is a significant correlation between a rupture criterion based on the ultimate stretch of the ATAA and the local extensional stiffness of the aorta. Therefore, reconstructing regional variations of the extensional stiffness across the aorta appears highly important. In this paper, we present a novel noninvasive inverse method to identify the patient-specific local extensional stiffness of aortic walls based on preoperative gated CT scans. Using these scans, a structural mesh is defined across the aorta with a set of nodes attached to the same material points at different time steps throughout the cardiac cycle. For each node, time variations of the position are analyzed using Fourier series, permitting the reconstruction of the local strain distribution (fundamental term). Relating these strains to tensions with the extensional stiffness, and writing the local equilibrium satisfied by the tensions, the local extensional stiffness is finally derived at every position. The methodology is applied onto the ascending and descending aorta of three patients. Interestingly, the regional distribution of identified stiffness properties appears heterogeneous across the ATAA. Averagely, the identified stiffness is also compared with values obtained using other nonlocal methodologies. The results support the possible noninvasive prediction of stretch-based rupture criteria in clinical practice using local stiffness reconstruction.

Keywords

Noninvasive inverse method Local extensional stiffness Finite-elements Ascending thoracic aortic aneurysms Patient-specific Risk of rupture 

Notes

Acknowledgements

The authors are grateful to the European Research Council for Grant ERC-2014-CoG BIOLOCHANICS.

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

Supplementary material

10237_2018_1073_MOESM1_ESM.avi (1.7 mb)
Supplementary material 1 (avi 1702 KB)

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Mines Saint-Étienne, CIS-EMSESaint-ÉtienneFrance
  2. 2.INSERM, U1059, SAINBIOSESaint-ÉtienneFrance
  3. 3.Université de LyonLyonFrance

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