132503 20260217205510.0 doi 10.1016/j.compstruc.2023.107241 sideral 137660 ART-2024-137660 eng Laita, Nicolás Universidad de Zaragoza (orcid)0000-0001-8946-4829 On modeling the in vivo ventricular passive mechanical behavior from in vitro experimental properties in porcine hearts 2024 Access copy available to the general public Unrestricted Myocardium passive mechanical response has been a major topic of study for decades due to its major impact on cardiac physiology. Here, we propose a novel modeling methodology that integrates both in vivo and in vitro data to estimate the tissue mechanical parameters for a particular orthotropic hyperelastic model as those proposed by Costa and by Holzapfel & Ogden, although it can be easily extended to any other. In vitro biaxial and triaxial shear extension tests were conducted in biopsied samples and in vivo pressure-volume recordings were obtained. Left ventricle (LV) geometry was reconstructed using magnetic resonance imaging (MRI) and pressure gradients during ventricular inflation were recorded with the Catheter Conductance Method (CCM). Finally, a Finite Element (FE) in vivo LV model was implemented to get the material model parameters using an inverse approach that uses a minimization process combining both the in vivo and in vitro available data. Our results demonstrate that the parameters obtained solely from in vitro testing (IVT), or from in vivo passive inflation (IVV) do not provide satisfactory fits for both responses simultaneously ([Fórmula] and [Fórmula]). On the contrary, the proposed combined in vitro & in vivo optimization process (MIN) converges to a solution that effectively captures both the in vivo and in vitro behaviors [Fórmula]). Thus, this novel combined approach offers a comprehensive framework for accurately characterizing myocardial mechanical behavior. The obtained parameters can serve as a basis for further cardiac simulations and contribute to a better understanding of cardiac mechanics and function. info:eu-repo/grantAgreement/ES/MCIN/PLEC2021-008127 info:eu-repo/grantAgreement/ES/MICINN/PID2019-107517RB-I00 info:eu-repo/semantics/openAccess by-nc-nd https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es 4.8 2024 ENGINEERING, CIVIL 31 / 184 = 0.168 2024 Q1 T1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS 47 / 177 = 0.266 2024 Q2 T1 1.296 2024 Civil and Structural Engineering 2024 Q1 Computer Science Applications 2024 Q1 Modeling and Simulation 2024 Q1 Mechanical Engineering 2024 Q1 Materials Science (miscellaneous) 2024 Q1 7.9 2024 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Rosales, Ricardo M. Wu, Ming Claus, Piet Janssens, Stefan Martínez, Miguel Ángel Universidad de Zaragoza (orcid)0000-0002-8375-0354 Doblaré, Manuel Universidad de Zaragoza (orcid)0000-0001-8741-6452 Peña, Estefanía Universidad de Zaragoza (orcid)0000-0002-0664-5024 5004 605 Universidad de Zaragoza Dpto. Ingeniería Mecánica Área Mec.Med.Cont. y Teor.Est. 292 (2024), 107241 [12 pp.] Comput. struct. COMPUTERS & STRUCTURES 0045-7949 3401763 http://zaguan.unizar.es/record/132503/files/texto_completo.pdf Versión publicada 2455990 http://zaguan.unizar.es/record/132503/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:132503 articulos driver 2026-02-17-20:24:59 ARTICLE