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International Conference on Medical Image Computing and Computer-Assisted Intervention

MICCAI 2012: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012 pp 33–40Cite as

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LBM-EP: Lattice-Boltzmann Method for Fast Cardiac Electrophysiology Simulation from 3D Images

LBM-EP: Lattice-Boltzmann Method for Fast Cardiac Electrophysiology Simulation from 3D Images

  • S. Rapaka19,
  • T. Mansi19,
  • B. Georgescu19,
  • M. Pop20,
  • G. A. Wright20,
  • A. Kamen19 &
  • …
  • Dorin Comaniciu19 
  • Conference paper
  • 4140 Accesses

  • 13 Citations

Part of the Lecture Notes in Computer Science book series (LNIP,volume 7511)

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.

Keywords

  • Neumann Boundary Condition
  • Cartesian Grid
  • Therapy Planning
  • Myocardium Scar
  • Cardiac Electrophysiology

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. Camara, O., Sermesant, M., Lamata, P., Wang, L., Pop, M., Relan, J., De Craene, M., Delingette, H., Liu, H., Niederer, S., Pashaei, A., Plank, G., Romero, D., Sebastian, R., Wong, K.C., Zhang, H., Ayache, N., Frangi, A., Shi, P., Smith, N., Wright, G.: Inter-Model Consistency and Complementarity: Learning from ex-vivo Imaging and Electrophysiological Data towards an Integrated Understanding of Cardiac Physiology. Prog. Biophys. Mol. Biol. 107, 122–133 (2011)

    CrossRef  Google Scholar 

  2. Chen, S., Doolen, G.D.: Lattice Boltzmann method for fluid flows. Annu. Rev. Fluid Mech. 30(1), 329–364 (1998)

    CrossRef  MathSciNet  Google Scholar 

  3. Clayton, R.H., Bernus, O., Cherry, E.M., Dierckx, H., Fenton, F.H., Mirabella, L., Panfilov, A.V., Sachse, F.B., Seemann, G., Zhang, H.: Models of cardiac tissue electrophysiology: Progress, challenges and open questions. Prog. Biophys. Mol. Biol. 104(1-3), 22 (2011)

    CrossRef  Google Scholar 

  4. Dawson, S.P., Chen, S., Doolen, G.D.: Lattice Boltzmann computations for reaction-diffusion equations. J. Chem. Phys. 98(2), 1514–1523 (1993)

    CrossRef  Google Scholar 

  5. Hodgkin, A.L., Huxley, A.F.: A quantitative description of ion currents and its applications to conduction and excitation in nerve membranes. J. Physiol. 117(4), 500–544 (1952)

    Google Scholar 

  6. Mitchell, C.C., Schaeffer, D.G.: A two-current model for the dynamics of cardiac membrane. Bull. Math. Biol. 65(5), 767–793 (2003)

    CrossRef  Google Scholar 

  7. Pop, M., Sermesant, M., Lepiller, D., Truong, M.V., McVeigh, E.R., Crystal, E., Dick, A., Delingette, H., Ayache, N., Wright, G.A.: Fusion of optical imaging and mri for the evaluation and adjustment of macroscopic models of cardiac electrophysiology: A feasibility study. Med. Image Anal. 13(2), 370–380 (2009)

    CrossRef  Google Scholar 

  8. Relan, J., Sermesant, M., Pop, M., Delingette, H., Sorine, M., Wright, G., Ayache, N.: Volumetric Prediction of Cardiac Electrophysiology using a Heart Model Personalised to Surface Data. In: CI2BM 2009 - MICCAI Workshop on Cardiovascular Interventional Imaging and Biophysical Modelling (2009)

    Google Scholar 

  9. Yoshida, H., Nagaoka, M.: Multiple-relaxation-time lattice Boltzmann model for the convection and anisotropic diffusion equation. J. Comp. Phys. 229, 7774–7795 (2010)

    CrossRef  MathSciNet  MATH  Google Scholar 

  10. Yu, D., Mei, R., Luo, L., Shyy, W.: Viscous flow computations with the method of lattice Boltzmann equation. Prog. Aero. Sci. 39(5), 329–367 (2003)

    CrossRef  Google Scholar 

  11. Zheng, Y., Barbu, A., Georgescu, B., Scheuering, M., Comaniciu, D.: Four-chamber heart modeling and automatic segmentation for 3-D cardiac CT volumes using marginal space learning and steerable features. IEEE Trans. Med. Imaging 27(11), 1668–1681 (2008)

    CrossRef  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Corporate Research and Technology, Imaging and Computer Vision, Siemens Corporation, Princeton, NJ, USA

    S. Rapaka, T. Mansi, B. Georgescu, A. Kamen & Dorin Comaniciu

  2. Department of Medical Biophysics, University of Toronto, Sunnybrook Health Sciences Centre, Imaging Research, Toronto, ON, Canada

    M. Pop & G. A. Wright

Authors
  1. S. Rapaka
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  2. T. Mansi
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  3. B. Georgescu
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  4. M. Pop
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  5. G. A. Wright
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  6. A. Kamen
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  7. Dorin Comaniciu
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Editor information

Editors and Affiliations

  1. Project Team Asclepios, Inria Sophia Antipolis, 06902, Sophia-Antipolis, France

    Nicholas Ayache & Hervé Delingette & 

  2. MIT, CSAIL, 02139, Cambridge, MA, USA

    Polina Golland

  3. Information and Communication Headquarters, Nagoya University, 464-8603, Nagoya, Japan

    Kensaku Mori

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© 2012 Springer-Verlag Berlin Heidelberg

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Cite this paper

Rapaka, S. et al. (2012). LBM-EP: Lattice-Boltzmann Method for Fast Cardiac Electrophysiology Simulation from 3D Images. In: Ayache, N., Delingette, H., Golland, P., Mori, K. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012. MICCAI 2012. Lecture Notes in Computer Science, vol 7511. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33418-4_5

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  • DOI: https://doi.org/10.1007/978-3-642-33418-4_5

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  • Print ISBN: 978-3-642-33417-7

  • Online ISBN: 978-3-642-33418-4

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