ArticleBiomechanics and modeling in mechanobiology2017
Improved identifiability of myocardial material parameters by an energy-based cost function.
Article in Biomechanics and modeling in mechanobiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed.
- Post-MI Remodeling Mechanics of Left Ventricle: Microstructure-Informed Models, Identifiability, and Uncertainty for Patient-Specific Prediction.Bioengineering (Basel, Switzerland) · 2026Review
- Constitutive discovery in the living human heart.bioRxiv : the preprint server for biology · 2026Article
- MorphiNet: A Graph Subdivision Network for Adaptive Bi-Ventricle Surface Reconstruction.IEEE transactions on medical imaging · 2026Article
- Optimal design for multi-compartment cell elasticity estimation using AFM and super-resolution imaging.Computer methods and programs in biomedicine · 2026Article
- Regional heterogeneity in left atrial stiffness impacts passive deformation in a cohort of patient-specific models.PLoS computational biology · 2025Article
- Characterizing variability in passive myocardial stiffness in healthy human left ventricles using personalized MRI and finite element modeling.Scientific reports · 2025Article
- Left Atrial Roof Enlargement Is a Distinct Feature of Heart Failure With Preserved Ejection Fraction.Circulation. Cardiovascular imaging · 2024Article
- Advancing clinical translation of cardiac biomechanics models: a comprehensive review, applications and future pathways.Frontiers in physics · 2023Article
- Phenotyping heart failure by echocardiography: imaging of ventricular function and haemodynamics at rest and exercise.European heart journal. Cardiovascular Imaging · 2023Article
- Cell to whole organ global sensitivity analysis on a four-chamber heart electromechanics model using Gaussian processes emulators.PLoS computational biology · 2023Article
- Calibration of Cohorts of Virtual Patient Heart Models Using Bayesian History Matching.Annals of biomedical engineering · 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
- 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
- Linking statistical shape models and simulated function in the healthy adult human heart.PLoS computational biology · 2021Article
- An Implementation of Patient-Specific Biventricular Mechanics Simulations With a Deep Learning and Computational Pipeline.Frontiers in physiology · 2021Article
- A publicly available virtual cohort of four-chamber heart meshes for cardiac electro-mechanics simulations.PloS one · 2020Article
- Article
- Optimization Framework for Patient-Specific Cardiac Modeling.Cardiovascular engineering and technology · 2019Article
- A Contemporary Look at Biomechanical Models of Myocardium.Annual review of biomedical engineering · 2019Review
- A short history of the development of mathematical models of cardiac mechanics.Journal of molecular and cellular cardiology · 2019Review
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Authors and funding
7 authors.
Funding
Abstract
Myocardial stiffness is a valuable clinical biomarker for the monitoring and stratification of heart failure (HF). Cardiac finite element models provide a biomechanical framework for the assessment of stiffness through the determination of the myocardial constitutive model parameters. The reported parameter intercorrelations in popular constitutive relations, however, obstruct the unique estimation of material parameters and limit the reliable translation of this stiffness metric to clinical practice. Focusing on the role of the cost function (CF) in parameter identifiability, we investigate the performance of a set of geometric indices (based on displacements, strains, cavity volume, wall thickness and apicobasal dimension of the ventricle) and a novel CF derived from energy conservation. Our results, with a commonly used transversely isotropic material model (proposed by Guccione et al.), demonstrate that a single geometry-based CF is unable to uniquely constrain the parameter space. The energy-based CF, conversely, isolates one of the parameters and in conjunction with one of the geometric metrics provides a unique estimation of the parameter set. This gives rise to a new methodology for estimating myocardial material parameters based on the combination of deformation and energetics analysis. The accuracy of the pipeline is demonstrated in silico, and its robustness in vivo, in a total of 8 clinical data sets (7 HF and one control). The mean identified parameters of the Guccione material law were [Formula: see text] and [Formula: see text] ([Formula: see text], [Formula: see text], [Formula: see text]) for the HF cases and [Formula: see text] and [Formula: see text] ([Formula: see text], [Formula: see text], [Formula: see text]) for the healthy case.
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