ArticleMedical & biological engineering & computing2018
In vivo estimation of passive biomechanical properties of human myocardium.
Article in Medical & biological engineering & computing, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed.
- From biaxial tests to cardiac digital twins: a morphomechanics agenda for passive myocardium.Frontiers in physiology · 2026Article
- Regional heterogeneity in left atrial stiffness impacts passive deformation in a cohort of patient-specific models.PLoS computational biology · 2025Article
- Distinguishing shear and tensile myocardial wall stiffness using ex vivo anisotropic Magnetic Resonance Elastography.Acta biomaterialia · 2025Article
- Characterizing variability in passive myocardial stiffness in healthy human left ventricles using personalized MRI and finite element modeling.Scientific reports · 2025Article
- Passive biaxial mechanical properties of sheep myocardium.Frontiers in bioengineering and biotechnology · 2025Article
- Anisotropic Hyperelastic Strain Energy Function for Carbon Fiber Woven Fabrics.Materials (Basel, Switzerland) · 2024Article
- Advancing clinical translation of cardiac biomechanics models: a comprehensive review, applications and future pathways.Frontiers in physics · 2023Article
- A biomechanics-based parametrized cardiac end-diastolic pressure-volume relationship for accurate patient-specific calibration and estimation.Scientific reports · 2023Article
- Validating MRI-Derived Myocardial Stiffness Estimates Using In Vitro Synthetic Heart Models.Annals of biomedical engineering · 2023Article
- Physical model of end-diastolic and end-systolic pressure-volume relationships of a heart.Frontiers in physiology · 2023Article
- Robust and efficient fixed-point algorithm for the inverse elastostatic problem to identify myocardial passive material parameters and the unloaded reference configuration.Journal of computational physics · 2022Article
- Sensitivity analysis and inverse uncertainty quantification for the left ventricular passive mechanics.Biomechanics and modeling in mechanobiology · 2022Article
- Patient-Specific Inverse Modeling of In Vivo Cardiovascular Mechanics with Medical Image-Derived Kinematics as Input Data: Concepts, Methods, and Applications.Applied sciences (Basel, Switzerland) · 2022Article
- Passive myocardial mechanical properties: meaning, measurement, models.Biophysical reviews · 2021Review
- Personalized intervention cardiology with transcatheter aortic valve replacement made possible with a non-invasive monitoring and diagnostic framework.Scientific reports · 2021Article
- Comparisons of simulation results between passive and active fluid structure interaction models for left ventricle in hypertrophic obstructive cardiomyopathy.Biomedical engineering online · 2021Article
- An Introductory Overview of Image-Based Computational Modeling in Personalized Cardiovascular Medicine.Frontiers in bioengineering and biotechnology · 2020Review
- Analysis of Cardiac Amyloidosis Progression Using Model-Based Markers.Frontiers in physiology · 2020Article
- Hierarchical Template Matching for 3D Myocardial Tracking and Cardiac Strain Estimation.Scientific reports · 2019Article
- On the AIC-based model reduction for the general Holzapfel-Ogden myocardial constitutive law.Biomechanics and modeling in mechanobiology · 2019Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Identification of in vivo passive biomechanical properties of healthy human myocardium from regular clinical data is essential for subject-specific modelling of left ventricle (LV). In this work, myocardium was defined by Holzapfel-Ogden constitutive law. Therefore, the objectives of the study were (a) to estimate the ranges of the constitutive parameters for healthy human myocardium using non-invasive routine clinical data, and (b) to investigate the effect of geometry, LV end-diastolic pressure (EDP) and fibre orientations on estimated values. In order to avoid invasive measurements and additional scans, LV cavity volume, measured from routine MRI, and empirical pressure-normalised-volume relation (Klotz-curve) were used as clinical data. Finite element modelling, response surface method and genetic algorithm were used to inversely estimate the constitutive parameters. Due to the ill-posed nature of the inverse optimisation problem, the myocardial properties was extracted by identifying the ranges of the parameters, instead of finding unique values. Additional sensitivity studies were carried out to identify the effect of LV EDP, fibre orientation and geometry on estimated parameters. Although uniqueness of the solution cannot be achieved, the normal ranges of the parameters produced similar mechanical responses within the physiological ranges. These information could be used in future computational studies for designing heart failure treatments. Graphical abstract.
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