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C. H. Wolters, A. Anwander, M. A. Koch, S. Reitzinger, M. Kuhn, M. Svensén. Influence of Head Tissue Conductivity Anisotropy on Human EEG and MEG using Fast High Resolution Finite Element Modeling, based on a Parallel Algebraic Multigrid Solver. In Forschung und wissenschaftliches Rechnen, T. Plesser, P. Wittenburg (eds.), Pages 111-157, 2001.


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Accuracy and time play an important role in medical and neuropsychological diagnosis and research. The inverse problem in the field of Electro- and MagnetoEncephaloGraphy requires the repeated simulation of the field distribution for a given dipolar source in the human brain using a volume-conduction model of the head. High resolution finite element head modeling allows the inclusion of tissue conductivity inhomogeneities and anisotropies. We will present new approaches for individually determining the direction-dependent conductivities of skull and brain white matter, based on non-invasive multimodal magnetic resonance imaging data, and for generating a high resolution realistic anisotropic finite element model of the human head. Error estimations will indicate the necessity of the chosen complex forward model. The finite element approach within the inverse problem 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. The iterative solver approach is shown to be stable towards modeling of tissue anisotropy. A solver time comparison to a classical parallel Jacobi preconditioned conjugate gradient method is given


C Wolters
A. Anwander
M.A. Koch
S. Reitzinger
M. Kuhn
M. Svensén

BibTex Reference

   Author = {Wolters, C. H. and Anwander, A. and Koch, M. A. and Reitzinger, S. and Kuhn, M. and Svensén, M.},
   Title = {Influence of Head Tissue Conductivity Anisotropy on Human {EEG} and MEG using Fast High Resolution Finite Element Modeling, based on a Parallel Algebraic Multigrid Solver},
   BookTitle = {Forschung und wissenschaftliches Rechnen},
   editor = {Plesser, T. and Wittenburg, P.},
   Pages = {111--157},
   Publisher = {Max-Planck-Gesselschaft, M{ü}nchen},
   Year = {2001}

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