Computing and Visualization in Science

, Volume 5, Issue 3, pp 165–177

A parallel algebraic multigrid solver for finite element method based source localization in the human brain

Authors

  • C.H. Wolters
    • Max Planck Institute for Mathematics in the Sciences, Leipzig, Germany (http://www.mis.mpg.de)
  • M. Kuhn
    • SFB F013 “Numerical and Symbolic Scientific Computing”, Johannes Kepler University Linz, Austria (http://www.sfb013.uni-linz.ac.at)
  • A. Anwander
    • Max Planck Institute of Cognitive Neuroscience, Leipzig, Germany (http://www.cns.mpg.de)
  • S. Reitzinger
    • SFB F013 “Numerical and Symbolic Scientific Computing”, Johannes Kepler University Linz, Austria (http://www.sfb013.uni-linz.ac.at)
Regular article

DOI: 10.1007/s00791-002-0098-0

Cite this article as:
Wolters, C., Kuhn, M., Anwander, A. et al. Comput Visual Sci (2002) 5: 165. doi:10.1007/s00791-002-0098-0

Abstract.

Time plays an important role in medical and neuropsychological diagnosis and research. In the field of Electro- and MagnetoEncephaloGraphy (EEG/MEG) source localization, a current distribution in the human brain is reconstructed noninvasively by means of measured fields outside the head. High resolution finite element modeling for the field computation leads to a sparse, large scale, linear equation system with many different right hand sides to be solved. The presented solution process is based on a parallel algebraic multigrid method. It is shown that very short computation times can be achieved through the combination of the multigrid technique and the parallelization on distributed memory computers. A solver time comparison to a classical parallel Jacobi preconditioned conjugate gradient method is given.

Copyright information

© Springer-Verlag Berlin Heidelberg 2002