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Adaptive Tetrahedral Meshing for Personalized Cardiac Simulations

Summary: Adaptive Tetrahedral Meshing
for Personalized Cardiac Simulations
Hans Lamecker, Tommaso Mansi, Jatin Relan, Florence Billet,
Maxime Sermesant, Nicholas Ayache, Hervé Delingette
Asclepios Project, INRIA Sophia Antipolis, France
Abstract. Personalized simulation for therapy planning in the clinical routine
requires fast and accurate computations. Finite-element (FE) simulations belong
to the most commonly used approaches. Based on medical images the geometry
of the patient's anatomy must be faithfully represented and discretized in a way
to find a reasonable compromise between accuracy and speed. This can be
achieved by adapting the mesh resolution, and by providing well-shaped
elements to improve the convergence of iterative solvers. We present a pipeline
for generating high-quality, adaptive meshes, and show how the framework can
be applied to specific cardiac simulations. Our aim is to analyze the meshing
requirements for applications in electrophysiological modeling of ventricular
tachycardia and electromechanical modeling of Tetralogy of Fallot.
Keywords: elements, modeling, mesh quality, mesh size control
1 Introduction
1.1 Motivation


Source: Andrzejak, Artur - Konrad-Zuse-Zentrum für Informationstechnik Berlin
Ecole Polytechnique, Centre de mathématiques


Collections: Computer Technologies and Information Sciences; Mathematics