, Volume 5, Issue 3, pp 165-177

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

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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.

Received: 13 July 2001 / Accepted: 19 December 2001
RID="*"
ID="*"Offprint requests: Carsten Wolters, MPI für neuropsychologische Forschung, MEG-Gruppe, Muldentalweg 9, 04828 Bennewitz, Germany (E-mail: wolters@cns.mpg.de)
Communicated by G. Wittum