Key result
A biomechanically constrained framework using nonlinear geometry and Mooney-Rivlin material models successfully estimated left ventricle deformation from 3D cardiac MR image sequences.
A novel biomechanically constrained framework using nonlinear material models provides a physically realistic approach for estimating left ventricular deformation from 3D cardiac MRI.
Quantitative assessment of the motion and deformation variability of the heart has important implications for the understanding, diagnosis, and treatment of cardiac diseases. Various existing image-based approaches typically rely on linear constraining models which are however physically implausible. In this paper, we present a biomechnically constrained framework for the estimation of left ventricle deformation from medical image sequences using more realistic nonlinear geometry and material models. Once the myocardial boundaries and the sparse corresponding boundary points are derived from an active region model, we construct the cardiac dynamics where the left ventricle is modelled as an Mooney-Rivlin material undergoing large deformation. We then rely on the Newmark scheme to perform frame-to-frame estimation of the cardiac motion/deformation parameters. Experiments have been performed with 3D cardiac MR image sequences with very encouraging results.
No takes yet. Share an insight, caveat, or question.
Liu et al. (2005) studied Cardiac diseases. Biomechanically constrained framework using nonlinear geometry and material models vs. Linear constraining models was evaluated on Estimation of left ventricle deformation. A biomechanically constrained framework using nonlinear geometry and Mooney-Rivlin material models successfully estimated left ventricle deformation from 3D cardiac MR image sequences.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: