Mathematical modeling of biomechanical elastic and hyperelastic properties of the myocardium
- Authors: Muslov S.A.1, Vasyuk Y.A.1, Zavialova A.I.1, Shupenina E..1, Sukhochev P..2, Guchukova L..3
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Affiliations:
- Russian University of Medicine
- Lomonosov Moscow State University
- Odintsovo Regional Hospital
- Issue: Vol 23, No 4 (2023)
- Pages: 53-68
- Section: Original research
- URL: https://journals.eco-vector.com/MAJ/article/view/624108
- DOI: https://doi.org/10.17816/MAJ624108
- ID: 624108
Cite item
Abstract
BACKGROUND: The study of mechanical properties of biological tissues is extremely informative and is one of the most important areas of biomechanics. Knowledge of these aspects of biological objects based on experimental data can become a source of new medical and technical solutions for the reconstruction of organs and the development of replacement materials.
AIM: Passive mechanical properties of isolated myocardium are compared with linear, bilinear, exponential and the most common hyperelastic models (neohookean, Mooney–Rivlin, Ogden, Yeoh, polynomial and Veronda–Westmann).
MATERIALS AND METHODS: Literature data on mechanical tests of autopsy material obtained from mongrel dogs were used as initial data. To search for the most advanced calculation algorithms the computer algebra system was used, the Mathcad 15.0 software package and the multifunctional finite element analysis application ANSYS 2022 R2 were used. Direct comparison of models was made based on mathematical statistics.
RESULTS: Among the first group of models, the results closest to the experimental data were demonstrated by the exponential model R = 0.9958/0.9984 (in the longitudinal/transverse direction with respect to the myocardial fibers), the lowest accuracy was demonstrated by the linear model R = 0.9813/0.9803. Young’s moduli of linear, bilinear and exponential models and material constants of hyperelastic models are determined. The coefficient of elastic anisotropy of the myocardium, defined as the ratio of the elastic moduli of the linear model measured along and across the direction of the fibers, is equal to 2.18, which is very different from the literature data for the myocardium of the human heart. Deformation along the fibers of the heart muscle is more energy-consuming in the direction along the fibers than in the transverse direction (3.81 and 2.52 mJ/cm3). The most accurate hyperelastic models turned out to be the 2nd order polynomial model R = 0.9971 and the 3rd order Yeoh model R = 0.997. The largest deviations and the lowest correlation coefficient between the experimental and model data were demonstrated by the simple neohookean model R = 0.974 with a single parameter μ. The numerical values of the parameters of hyperelastic models obtained by calculation methods used practically did not differ from each other (≤2.16%).
CONCLUSIONS: The study demonstrated the importance of selecting the correct mechanical model for isolated myocardium. The data obtained can be useful in virtual interventions (simulations) for predicting outcomes and supporting clinical decisions, developing replacement materials and structures made of them for reconstructive operations on heart structures.
Full Text
About the authors
Sergey A. Muslov
Russian University of Medicine
Author for correspondence.
Email: sergeymuslov@yandex.ru
ORCID iD: 0000-0002-9752-6804
SPIN-code: 7213-2852
Scopus Author ID: 6507596970
ResearcherId: AAK-9440-2020
Cand. Sci. (Physics and Mathematics), Dr. Sci. (Biol.), Professor of the Department of Normal Physiology and Medical Physics
Russian Federation, 20 building 1 Delegatskaya St., Moscow, 127473Yury A. Vasyuk
Russian University of Medicine
Email: yvasyuk@yandex.ru
ORCID iD: 0000-0003-2913-9797
SPIN-code: 2265-5331
Scopus Author ID: 6508291333
ResearcherId: G-1772-2013
MD, Dr. Sci. (Med.), Professor, Scientific Secretary, Head of the Department of Hospital Therapy No. 1, Honored Doctor of the Russian Federation, Honored Worker of Higher Education of the Russian Federation
Russian Federation, 20 building 1 Delegatskaya St., Moscow, 127473Alla I. Zavialova
Russian University of Medicine
Email: allaz05@list.ru
ORCID iD: 0009-0001-1727-4388
SPIN-code: 4883-7130
MD, Cand. Sci. (Med.), Assistant Professor, Department of Hospital Therapy No. 1, Head of the Therapeutic Department of the Kuskovo Medical Center
Russian Federation, 20 building 1 Delegatskaya St., Moscow, 127473Elena Yu. Shupenina
Russian University of Medicine
Email: eshupenina@mail.ru
ORCID iD: 0000-0001-6188-4610
SPIN-code: 2090-9938
MD, Cand. Sci. (Med.), Professor of the Department of Hospital Therapy No. 1
Russian Federation, 20 building 1 Delegatskaya St., Moscow, 127473Pavel Yu. Sukhochev
Lomonosov Moscow State University
Email: ps@moids.ru
ORCID iD: 0000-0002-8004-6011
SPIN-code: 7780-8694
Researcher at the Laboratory of Mathematical Support for Simulation Dynamic Systems, Department of Applied Research, Faculty of Mechanics and Mathematics
Russian Federation, MoscowLayla Z. Guchukova
Odintsovo Regional Hospital
Email: Gucci.loca@mail.ru
ORCID iD: 0009-0007-2150-6034
SPIN-code: 8280-0970
general practitioner
Russian Federation, Odintsovo, Moscow RegionReferences
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