Estimating mechanical properties of the left ventricle using dynamic modeling and magnetic resonance imaging

Presents an algorithm for estimating active and passive mechanical properties of the left ventricle using magnetic resonance imaging (MRI) tissue-tagging and pressure measurements. The authors combine physical modeling with a finite-element formulation and dynamic analysis, and apply maximum likelihood to estimate the unknown parameters. They assume that the myocardium's stiffness tensor is anisotropic and non-homogeneous. Numerical examples demonstrate the applicability of the authors' results.