Purpose To propose and to evaluate a novel method for the automatic segmentation of the
heart's two ventricles from dynamic (“cine”) short‐axis “steady state free precession”(SSFP) …

Accurate segmentation of cardiac bi-ventricle (CBV) from magnetic resonance (MR) images
has a great significance to analyze and evaluate the function of the cardiovascular system …

Computational models of cardiac electromechanics (EM) are increasingly being applied to
clinical problems, with patient-specific models being generated from high fidelity imaging …

An unresolved issue in patient-specific models of cardiac mechanics is the choice of an
appropriate constitutive law, able to accurately capture the passive behavior of the …

Personalized biophysical modeling of the heart is a useful approach for noninvasively
analyzing and predicting in vivo cardiac mechanics. Three main developments support this …

In this paper, we propose a novel method for segmentation of the left ventricle, right
ventricle, and myocardium from cine cardiac magnetic resonance images of the STACOM …

Individually personalized computational models of heart mechanics can be used to estimate
important physiological and clinically‐relevant quantities that are difficult, if not impossible …

The use of synthetic sequences is one of the most promising tools for advanced in silico
evaluation of the quantification of cardiac deformation and strain through 3-D ultrasound …

Recent progress in tissue engineering has made it possible to build contractile bio-hybrid
materials that undergo conformational changes by growing a layer of cardiac muscle on …

SUMMARY A reduced‐order model based on proper orthogonal decomposition (POD) is
proposed for the bidomain equations of cardiac electrophysiology. Its accuracy is assessed …