A Bayesian approach to accounting for variability in mechanical properties in biomaterials
Abstract
In this paper, we present an approach for modeling bio-tissues that incorporates the variability in properties as part of their characteristics. This is achieved by considering the parameters of the model of a biomaterial to themselves be random variables and represented by a probability distribution over the space of parameters. This probability distribution is obtained by the systematic use of Bayesian inference together with a continuum mechanics based solution of a boundary value problem. We illustrate this approach by characterizing sheep arteries by using a combination of experimental data and different hyperelastic models. Furthermore, we also develop a model based Bayesian classification of new data into different classes based on the computed model parameter probability distribution.
Keywords
Cite
@article{arxiv.1312.2856,
title = {A Bayesian approach to accounting for variability in mechanical properties in biomaterials},
author = {Srikrishna Doraiswamy and Arun R. Srinivasa},
journal= {arXiv preprint arXiv:1312.2856},
year = {2013}
}