Title :
A Macro Finite-Element Formulation for Cardiac Electrophysiology Simulations Using Hybrid Unstructured Grids
Author :
Rocha, Bernardo M. ; Kickinger, Ferdinand ; Prassl, Anton J. ; Haase, Gundolf ; Vigmond, Edward J. ; Dos Santos, Rodrigo Weber ; Zaglmayr, Sabine ; Plank, Gernot
Author_Institution :
Inst. of Biophys., Med. Univ. of Graz, Graz, Austria
fDate :
4/1/2011 12:00:00 AM
Abstract :
Abstract-Electrical activity in cardiac tissue can be described by the bidomain equations whose solution for large-scale simulations still remains a computational challenge. Therefore, improvements in the discrete formulation of the problem, which decrease computational and/or memory demands are highly desirable. In this study, we propose a novel technique for computing shape functions of finite elements (FEs). The technique generates macro FEs (MFEs) based on the local decomposition of elements into tetrahedral subelements with linear shape functions. Such an approach necessitates the direct use of hybrid meshes (HMs) composed of different types of elements. MFEs are compared to classic standard FEs with respect to accuracy and RAM memory usage under different scenarios of cardiac modeling, including bidomain and monodomain simulations in 2-D and 3-D for simple and complex tissue geometries. In problems with analytical solutions, MFEs displayed the same numerical accuracy of standard linear triangular and tetrahedral elements. In propagation simulations, conduction velocity and activation times agreed very well with those computed with standard FEs. However, MFEs offer a significant decrease in memory requirements. We conclude that HMs composed of MFEs are well suited for solving problems in cardiac computational electrophysiology.
Keywords :
biological tissues; electrocardiography; medical diagnostic computing; mesh generation; physiological models; random-access storage; 2D simulation; 3D simulation; RAM memory usage; activation times; bidomain equations; cardiac electrophysiology simulations; cardiac modeling; cardiac tissue; complex tissue geometries; conduction velocity; discrete formulation; electrical activity; hybrid meshes; hybrid unstructured grids; large-scale simulations; local decomposition; macro finite-element formulation; monodomain simulations; shape functions; standard linear triangular elements; tetrahedral elements; tetrahedral subelements; Cardiac tissue; Computational modeling; Equations; Finite element methods; Geometry; Large-scale systems; Random access memory; Read-write memory; Shape; Solid modeling; Bidomain equations; conduction velocity; numerical accuracy; Action Potentials; Animals; Body Surface Potential Mapping; Computer Simulation; Finite Element Analysis; Heart Conduction System; Humans; Models, Cardiovascular;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
DOI :
10.1109/TBME.2010.2064167