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A computational pipeline for quantification of mouse myocardial stiffness parameters
Oyvind Nordbø1, Pablo Lamata2, Sander Land2
1Department of Mathematical Sciences and Technology, Centre for Integrative Genetics, Norwegian University of Life Sciences, P.O. Box 5003, N-1432 Ås, Norway.
Computers in Biology and Medicine
|August 18, 2014
Summary
Researchers developed a new method to measure passive material properties of mouse heart tissue, crucial for building accurate computational models. This approach enhances our understanding of cardiac mechanics in this key research model.
Area of Science:
- Cardiovascular Research
- Biophysics
- Computational Biology
Background:
- Mouse hearts are vital for cardiac research, but their passive material properties remain understudied.
- Accurate biophysically based whole-organ models of the mouse heart require detailed material property data.
Purpose of the Study:
- To present an experimental setup and computational pipeline for quantifying passive material properties of mouse myocardium.
- To establish a method for determining cardiac tissue stiffness in mice.
Main Methods:
- Experimental inflation of an excised mouse left ventricle from 0 to 1.44kPa.
- Echocardiography and speckle tracking to measure deformation.
- Finite element modeling incorporating diffusion tensor MRI data and a hyperelastic, transversely isotropic material law.
- Comparison of experimental and simulated outcomes to identify material parameters.
Main Results:
- A narrow range of experimentally compatible material parameters was identified.
- Estimation of material properties was more precise using gross phenotypes (volume, energy, diameters) than material point displacements.
- The developed computational pipeline successfully quantified passive material properties.
Conclusions:
- The presented experimental and computational approach is a viable method for studying mouse myocardium passive properties.
- This technique can significantly contribute to the development of accurate computational cardiac models.
- The method warrants wider application in cardiac research.
