This study validates a nonlinear optimization algorithm for determining material properties of myocardium, suggesting its efficacy with magnetic resonance imaging data.
A material identification algorithm is described for determining in vivo material properties of diastolic myocardium. A nonlinear optimization algorithm is employed to solve a least squares objective function. The objective function relates the least squares difference of model-predicted strains obtained from a finite element (FE) solution to measured strains obtained in the in vivo case from magnetic resonance imaging radiofrequency tissue-tagging. The algorithm is validated using a three-dimensional, nonlinear, anisotropic FE model by examining the effects of noise in the measured data on a priori given parameter solutions.
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Moulton et al. (1995) studied this question.
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