An effective algorithm for the generation of patient-specific Purkinje networks in computational electrocardiology
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Publication:728953
DOI10.1016/J.JCP.2014.11.043zbMath1352.92090OpenAlexW2077046406MaRDI QIDQ728953
Christian Vergara, Elena Faggiano, Fabio Nobile, Simone Palamara
Publication date: 20 December 2016
Published in: Journal of Computational Physics (Search for Journal in Brave)
Full work available at URL: http://hdl.handle.net/10446/29173
Biomedical imaging and signal processing (92C55) Computational methods for problems pertaining to biology (92-08)
Related Items (7)
An inverse eikonal method for identifying ventricular activation sequences from epicardial activation maps ⋮ A fast cardiac electromechanics model coupling the Eikonal and the nonlinear mechanics equations ⋮ Graph-based homogenisation for modelling cardiac fibrosis ⋮ Reconstruction of flow domain boundaries from velocity data via multi-step optimization of distributed resistance ⋮ The cardiovascular system: Mathematical modelling, numerical algorithms and clinical applications ⋮ A multi-order smoothed particle hydrodynamics method for cardiac electromechanics with the purkinje network ⋮ A coupled 3D-1D numerical monodomain solver for cardiac electrical activation in the myocardium with detailed Purkinje network
Cites Work
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- Spread of excitation in 3-D models of the anisotropic cardiac tissue. II: Effects of fiber architecture and ventricular geometry
- Thermodynamically consistent orthotropic activation model capturing ventricular systolic wall thickening in cardiac electromechanics
- Spreading of excitation in 3-D models of the anisotropic cardiac tissues. I: Validation of the eikonal model
- A numerical method for the solution of the bidomain equations in cardiac tissue
- Fast Marching Methods
- Ordered Upwind Methods for Static Hamilton--Jacobi Equations: Theory and Algorithms
- A PARALLEL SOLVER FOR REACTION–DIFFUSION SYSTEMS IN COMPUTATIONAL ELECTROCARDIOLOGY
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