Patient-specific finite element simulation of left ventricle hemodynamics and mitral valve disease based on echocardiography
Résumé
Patient-specific models in medicine offer an emerging technology for simulation of
disease progression and clinical interventions. Such simulations have the potential to
offer clinical decision support, and to strengthen evidence-based medical decisions.
In this paper, we present a framework for patient-specific simulation of mitral valve
disease, building on a clinical pathway we have developed based on data acquisition
from routine echocardiography [1]. The left ventricle (LV) endocardium is obtained by
segmentation of echocardiographic image data, from which a finite element model of
the LV hemodynamics is reconstructed [1]. We extend the LV model with a
parametrized model of the mitral valve (MV) opening, which we use to simulate
mitral valve leakage, and valve stenosis through reduced function in the valve
opening and closing. The effect of the simulated valve diseases on the ventricular
hemodynamics is analysed, and compared to real patient data for valve disease. The
LV model is implemented in FEniCS-HPC [2], an open source finite element method
framework targeting coupled multi-physics problems, and high performance
computing platforms. The sensitivity of the simulation results with respect to the MV
model is investigated, using uncertainty quantification techniques [3].