Key Points
- To develop a three-dimensional electromechanical model of both cardiac ventricles capable of simulating combined electrical and mechanical activity while improving ventricular segmentation in cardiac image time series.
- Simulated transmembrane potential propagation using FitzHugh-Nagumo reaction-diffusion equations coupled to a biomechanical constitutive law of myocardial contraction.
- Integrated blood pressure and volume boundary constraints to simulate full cardiac cycles and quantify global and local functional parameters.
- Engineered a proactive deformable model embedding anatomical and dynamical cardiac priors to segment ventricles from dynamic medical imaging series.
- Simulations accurately reproduced cardiac cycles and enabled valid estimation of local and global cardiac functional parameters under physiological boundary conditions.
- The proactive deformable model improved segmentation accuracy and robustness across cardiac image sequences, maintaining performance even with sparse or noisy datasets.
- The framework successfully supported the introduction of cardiovascular pathologies and simulation of electrophysiology interventions for treatment planning.
Structured PICO
PPopulationComputational model of the two cardiac ventricles
IInterventionThree-dimensional electromechanical model (proactive deformable model)
OOutcomeEstimation of global and local parameters of cardiac function and segmentation of ventricles in time series of cardiac images
A novel 3D electromechanical model of the heart improves the accuracy of functional parameter extraction from cardiac images and enables the simulation of cardiovascular pathologies and interventions.