Matthias A. F. Gsell

TL;DR: A mechanistic explanation of the importance of the pericardium in physiological simulations of electromechanical cardiac function is provided and a regional scaling of normal springs stiffness based on image-derived motion from CT images is defined.

TL;DR: This work has created the first publicly available virtual cohort of twenty-four four-chamber hearts, built from heart failure patients, to facilitate large cohort computational studies and to promote the development of cardiac computational electro-mechanics for clinical applications.

TL;DR: OpenCARP as discussed by the authors is a Python-based simulator for cardiac electrophysiology, which allows developing and sharing simulation pipelines which automate in silico experiments including all modeling and simulation steps to increase reproducibility and productivity.

TL;DR: In this paper, the authors proposed a novel workflow for the generation of high-fidelity CDTs by introducing a comprehensive parameter vector encapsulating all factors relating to the ventricular EP; an abstract reference frame within the model allowing the unattended manipulation of model parameter fields; and a novel fast-forward electrocardiogram (Electrocardiograms) model for efficient and bio-physically-detailed simulation required for parameter inference.

TL;DR: Meshtool is software specifically designed for automating all complex mesh manipulation tasks emerging in such workflows by implementing algorithms for tasks described as operations on label fields and/or geometric features.