A parallel algebraic multigrid solver for finite element method based source localization in the human brain
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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.
- A parallel algebraic multigrid solver for finite element method based source localization in the human brain
Computing and Visualization in Science
Volume 5, Issue 3 , pp 165-177
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- A1. Max Planck Institute for Mathematics in the Sciences, Leipzig, Germany (http://www.mis.mpg.de), DE
- A2. SFB F013 “Numerical and Symbolic Scientific Computing”, Johannes Kepler University Linz, Austria (http://www.sfb013.uni-linz.ac.at), AT
- A3. Max Planck Institute of Cognitive Neuroscience, Leipzig, Germany (http://www.cns.mpg.de), DE