Estimating nonlinear anisotropic properties of healthy and aneurysm ascending aortas using magnetic resonance imaging

Other authors

Institut Català de la Salut

[Latorre Molins ÁT] Aragón Institute for Engineering Research (I3A), University of Zaragoza, Zaragoza, Spain. [Guala A] Vall d’Hebron Institut de Recerca (VHIR), Barcelona, Spain. Biomedical Research Networking Center on Cardiovascular Diseases (CIBER-CV), Instituto de Salud Carlos III, Madrid, Spain. [Dux Santoy L] Vall d’Hebron Institut de Recerca (VHIR), Barcelona, Spain. [Teixidó Turà G] Vall d’Hebron Institut de Recerca (VHIR), Barcelona, Spain. Biomedical Research Networking Center on Cardiovascular Diseases (CIBER-CV), Instituto de Salud Carlos III, Madrid, Spain. Servei de Cardiologia, Vall d’Hebron Hospital Universitari, Barcelona, Spain. [Rodríguez Palomares JF] Vall d’Hebron Institut de Recerca (VHIR), Barcelona, Spain. Biomedical Research Networking Center on Cardiovascular Diseases (CIBER-CV), Instituto de Salud Carlos III, Madrid, Spain. Servei de Cardiologia, Vall d’Hebron Hospital Universitari, Barcelona, Spain. Departament de Medicina, Universitat Autònoma de Barcelona, Bellaterra, Barcelona, Spain. [Martínez Barca MÁ] Aragón Institute for Engineering Research (I3A), University of Zaragoza, Zaragoza, Spain. Biomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Zaragoza, Spain

Vall d'Hebron Barcelona Hospital Campus

Publication date

2025-03-10T12:51:36Z

2025-03-10T12:51:36Z

2024

2025-02



Abstract

Ascending aorta; Inverse modeling; Mechanical characterization


Aorta ascendent; Modelatge invers; Caracterització mecànica


Aorta ascendente; Modelado inverso; Caracterización mecánica


An ascending aortic aneurysm is an often asymptomatic localized dilatation of the aorta. Aortic rupture is a life-threatening event that occurs when the stress on the aortic wall exceeds its mechanical strength. Therefore, patient-specific finite element models could play an important role in estimating the risk of rupture. This requires not only the geometry of the aorta but also the nonlinear anisotropic properties of the tissue. In this study, we presented a methodology to estimate the mechanical properties of the aorta from magnetic resonance imaging (MRI). As a theoretical framework, we used finite element models to which we added noise to simulate clinical data from real patient geometry and different properties of healthy and aneurysmal aortic tissues collected from the literature. The proposed methodology considered the nonlinear properties, the zero pressure geometry, the heart motion, and the external tissue support. In addition, we analyzed the aorta as a homogeneous material and as a heterogeneous model with different properties for the ascending and descending parts. The methodology was also applied to pre-surgical,in vivo MRI data of a patient who underwent surgery during which an aortic wall sample was obtained. The results were compared with those obtained from ex vivo biaxial test of the patient’s tissue sample. The methodology showed promising results after successfully recovering the nonlinear anisotropic material properties of all analyzed cases. This study demonstrates that the variable used during the optimization process can affect the result. In particular, variables such as principal strains were found to obtain more realistic materials than the displacement field.


Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature.

Document Type

Article


Published version

Language

English

Publisher

Springer

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Attribution 4.0 International

http://creativecommons.org/licenses/by/4.0/

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