What question did this study set out to answer?

The study aims to estimate the passive biomechanical properties of the healthy human myocardium using non-invasive clinical data.

February 26, 2018Medical & Biological Engineering & ComputingOpen Access

In vivo estimation of passive biomechanical properties of human myocardium

Q: What is the clinical evidence from this study?

Population: Healthy human myocardium (n=5). Intervention: Inverse optimization using finite element modeling and clinical MRI data. Primary outcome: Estimation of Holzapfel-Ogden constitutive parameters.

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Key result

Inverse optimization using routine clinical MRI data successfully estimated the normal ranges of Holzapfel-Ogden constitutive parameters for healthy human myocardium.

Population

Healthy human myocardium (computational model based on routine MRI data)

Authors

APArnab PalitUniversity of Warwick SBSunil BhudiaHarefield Hospital TATheodoros N. ArvanitisNational and Kapodistrian University of Athens

Discussion

Member takes

Implication

Ranges for healthy myocardium may inform models; leaves open HF applications pending diseased-tissue validation.

Key Points

The study aims to estimate the passive biomechanical properties of the healthy human myocardium using non-invasive clinical data.
Used Holzapfel-Ogden constitutive law to define myocardial properties.
Applied finite element modelling, response surface method, and genetic algorithm for parameter estimation.
Utilized LV cavity volume from MRI and Klotz-curve for empirical pressure-normalised-volume relations.
Identified normal ranges of constitutive parameters with physiological mechanical responses.
Observed that LV end-diastolic pressure, fibre orientation, and geometry significantly influenced parameter estimates.
Demonstrated that while unique values could not be determined, the identified ranges are clinically useful.

Structured PICO

Population

5 healthy adults (mean age 39 years, 20% female) whose routine cardiac MRI data were used to model left ventricular biomechanics.

Exposure

Inverse estimation of constitutive parameters using finite element modelling, response surface method, and genetic algorithm

Outcome

Ranges of constitutive parameters for healthy human myocardium

Computational estimation of passive biomechanical properties of human myocardium from routine MRI data can identify parameter ranges that produce physiological mechanical responses, potentially aiding future heart failure modeling.

Limitations

Assumption of an initial stress-free state during early diastole
Unavailability of subject-specific ventricular pressures requiring assumption of LV EDP as 10 mmHg
Small sample size of 5 subjects
Uniqueness of the solution cannot be achieved due to the ill-posed nature of the inverse optimisation problem

Cite This Study

Palit et al. (2018) studied Healthy human myocardium (n=5). Inverse optimization using finite element modeling and clinical MRI data was evaluated on Estimation of Holzapfel-Ogden constitutive parameters. Inverse optimization using routine clinical MRI data successfully estimated the normal ranges of Holzapfel-Ogden constitutive parameters for healthy human myocardium.

synapsesocial.com/papers/6a656ad4c1c033f9a839d5a0 https://doi.org/10.1007/s11517-017-1768-x

Topics

Cardiac MRI

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In vivo estimation of passive biomechanical properties of human myocardium

Discussion

Member takes

Implication

Key Points

Structured PICO

Limitations

Cite This Study

Topics

In vivo estimation of passive biomechanical properties of human myocardium

Discussion

Member takes

Implication

Key Points

Structured PICO

Limitations

Cite This Study

Also Consider

Topics

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