An automated patient-specific electromechanical modeling pipeline allowed model construction and execution of a heartbeat simulation within 1 day, reproducing clinical data with acceptable accuracy.
An automated workflow for creating patient-specific electromechanical models of the left ventricle is feasible and can accurately reproduce clinical data within one day.
AIMS: Models of blood flow in the left ventricle (LV) and aorta are an important tool for analysing the interplay between LV deformation and flow patterns. Typically, image-based kinematic models describing endocardial motion are used as an input to blood flow simulations. While such models are suitable for analysing the hemodynamic status quo, they are limited in predicting the response to interventions that alter afterload conditions. Mechano-fluidic models using biophysically detailed electromechanical (EM) models have the potential to overcome this limitation, but are more costly to build and compute. We report our recent advancements in developing an automated workflow for the creation of such CFD ready kinematic models to serve as drivers of blood flow simulations. METHODS AND RESULTS: EM models of the LV and aortic root were created for four pediatric patients treated for either aortic coarctation or aortic valve disease. Using MRI, ECG and invasive pressure recordings, anatomy as well as electrophysiological, mechanical and circulatory model components were personalized. RESULTS: The implemented modeling pipeline was highly automated and allowed model construction and execution of simulations of a patient's heartbeat within 1 day. All models reproduced clinical data with acceptable accuracy. CONCLUSION: Using the developed modeling workflow, the use of EM LV models as driver of fluid flow simulations is becoming feasible. While EM models are costly to construct, they constitute an important and nontrivial step towards fully coupled electro-mechano-fluidic (EMF) models and show promise as a tool for predicting the response to interventions which affect afterload conditions.
Augustin et al. (Sun,) conducted a other in Aortic coarctation or aortic valve disease (n=4). Patient-specific electromechanical (EM) modeling was evaluated on Model construction and execution time. An automated patient-specific electromechanical modeling pipeline allowed model construction and execution of a heartbeat simulation within 1 day, reproducing clinical data with acceptable accuracy.