Use of a genetic algorithm for determining material parameters in ventricular myocardium
Document Type
Conference Proceeding
Date of Original Version
1-1-2004
Abstract
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
Volume
30
Citation/Publisher Attribution
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