Use of a genetic algorithm for determining material parameters in ventricular myocardium
Date of Original Version
The estimation of material parameters in constitutive models for soft biological materials such as myocardium is a challenging problem due to the complex behavior of the material. Here we present a systematic scheme to solve the inverse problem of estimating material parameters from experimentally observed deformation. This scheme couples a genetic algorithm with nonlinear finite element analysis. The approach is very general and can be applied to a wide range of inverse boundary value problems. Effectiveness of this scheme is demonstrated through examples involving two-dimensional and three-dimensional hyperelastic material models. Finally, a problem involving variation of material parameter through the ventricular wall is investigated.
Publication Title, e.g., Journal
Proceedings of the IEEE Annual Northeast Bioengineering Conference, NEBEC
Nair, Arun U., David G. Taggart, and Frederick J. Vetter. "Use of a genetic algorithm for determining material parameters in ventricular myocardium." Proceedings of the IEEE Annual Northeast Bioengineering Conference, NEBEC 30, (2004): 186-187. https://digitalcommons.uri.edu/mcise_facpubs/998