Literature DB >> 23286029

LBM-EP: Lattice-Boltzmann method for fast cardiac electrophysiology simulation from 3D images.

S Rapaka1, T Mansi, B Georgescu, M Pop, G A Wright, A Kamen, Dorin Comaniciu.   

Abstract

Current treatments of heart rhythm troubles require careful planning and guidance for optimal outcomes. Computational models of cardiac electrophysiology are being proposed for therapy planning but current approaches are either too simplified or too computationally intensive for patient-specific simulations in clinical practice. This paper presents a novel approach, LBM-EP, to solve any type of mono-domain cardiac electrophysiology models at near real-time that is especially tailored for patient-specific simulations. The domain is discretized on a Cartesian grid with a level-set representation of patient's heart geometry, previously estimated from images automatically. The cell model is calculated node-wise, while the transmembrane potential is diffused using Lattice-Boltzmann method within the domain defined by the level-set. Experiments on synthetic cases, on a data set from CESC'10 and on one patient with myocardium scar showed that LBM-EP provides results comparable to an FEM implementation, while being 10 - 45 times faster. Fast, accurate, scalable and requiring no specific meshing, LBM-EP paves the way to efficient and detailed models of cardiac electrophysiology for therapy planning.

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Year:  2012        PMID: 23286029     DOI: 10.1007/978-3-642-33418-4_5

Source DB:  PubMed          Journal:  Med Image Comput Comput Assist Interv


  3 in total

1.  Towards an interactive electromechanical model of the heart.

Authors:  Hugo Talbot; Stéphanie Marchesseau; Christian Duriez; Maxime Sermesant; Stéphane Cotin; Hervé Delingette
Journal:  Interface Focus       Date:  2013-04-06       Impact factor: 3.906

2.  Position Paper Computational Cardiology.

Authors:  Lambros Athanasiou; Farhad Rikhtegar Nezami; Elazer R Edelman
Journal:  IEEE J Biomed Health Inform       Date:  2018-10-19       Impact factor: 5.772

3.  Towards Personalized Cardiology: Multi-Scale Modeling of the Failing Heart.

Authors:  Elham Kayvanpour; Tommaso Mansi; Farbod Sedaghat-Hamedani; Ali Amr; Dominik Neumann; Bogdan Georgescu; Philipp Seegerer; Ali Kamen; Jan Haas; Karen S Frese; Maria Irawati; Emil Wirsz; Vanessa King; Sebastian Buss; Derliz Mereles; Edgar Zitron; Andreas Keller; Hugo A Katus; Dorin Comaniciu; Benjamin Meder
Journal:  PLoS One       Date:  2015-07-31       Impact factor: 3.240

  3 in total

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