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

dc.contributor
Institut Català de la Salut
dc.contributor
[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
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Vall d'Hebron Barcelona Hospital Campus
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Latorre Molins, Álvaro Tomás
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Teixido-Tura, Gisela
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Martínez Barca, Miguel Ángel
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Guala, Andrea
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Dux-Santoy Hurtado, Lydia
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Rodríguez Palomares, José F
dc.date.accessioned
2025-05-03T13:36:40Z
dc.date.available
2025-05-03T13:36:40Z
dc.date.issued
2025-03-10T12:51:36Z
dc.date.issued
2025-03-10T12:51:36Z
dc.date.issued
2024
dc.date.issued
2025-02
dc.identifier
Latorre Molins ÁT, Guala A, Dux-Santoy L, Teixidó-Turà G, Rodríguez-Palomares JF, Martínez Barca MÁ, et al. Estimating nonlinear anisotropic properties of healthy and aneurysm ascending aortas using magnetic resonance imaging. Biomech Model Mechanobiol. 2025 Feb;24:233–50.
dc.identifier
1617-7940
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http://hdl.handle.net/11351/12734
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10.1007/s10237-024-01907-6
dc.identifier
39586942
dc.identifier
001362489200001
dc.identifier.uri
http://hdl.handle.net/11351/12734
dc.description.abstract
Ascending aorta; Inverse modeling; Mechanical characterization
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Aorta ascendent; Modelatge invers; Caracterització mecànica
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Aorta ascendente; Modelado inverso; Caracterización mecánica
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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.
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Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature.
dc.format
application/pdf
dc.language
eng
dc.publisher
Springer
dc.relation
Biomechanics and Modeling in Mechanobiology;24
dc.relation
https://doi.org/10.1007/s10237-024-01907-6
dc.rights
Attribution 4.0 International
dc.rights
http://creativecommons.org/licenses/by/4.0/
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info:eu-repo/semantics/openAccess
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Scientia
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Aneurismes aòrtics - Imatgeria per ressonància magnètica
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Anisotropia
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Caos (Teoria de sistemes)
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DISEASES::Cardiovascular Diseases::Vascular Diseases::Aneurysm::Aortic Aneurysm
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Other subheadings::Other subheadings::Other subheadings::/diagnostic imaging
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ANALYTICAL, DIAGNOSTIC AND THERAPEUTIC TECHNIQUES, AND EQUIPMENT::Diagnosis::Diagnostic Techniques and Procedures::Diagnostic Imaging::Tomography::Magnetic Resonance Imaging
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ANALYTICAL, DIAGNOSTIC AND THERAPEUTIC TECHNIQUES, AND EQUIPMENT::Investigative Techniques::Models, Theoretical::Nonlinear Dynamics
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PHENOMENA AND PROCESSES::Physical Phenomena::Optical Phenomena::Anisotropy
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TÉCNICAS Y EQUIPOS ANALÍTICOS, DIAGNÓSTICOS Y TERAPÉUTICOS::diagnóstico::técnicas y procedimientos diagnósticos::diagnóstico por imagen::tomografía::imagen por resonancia magnética
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TÉCNICAS Y EQUIPOS ANALÍTICOS, DIAGNÓSTICOS Y TERAPÉUTICOS::técnicas de investigación::modelos teóricos::dinámicas no lineales
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FENÓMENOS Y PROCESOS::fenómenos físicos::fenómenos ópticos::anisotropía
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ENFERMEDADES::enfermedades cardiovasculares::enfermedades vasculares::aneurisma::aneurisma de la aorta
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Otros calificadores::Otros calificadores::Otros calificadores::/diagnóstico por imagen
dc.title
Estimating nonlinear anisotropic properties of healthy and aneurysm ascending aortas using magnetic resonance imaging
dc.type
info:eu-repo/semantics/article
dc.type
info:eu-repo/semantics/publishedVersion


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