Literature DB >> 2793196

On the numerical accuracy of the boundary element method.

J W Meijs, O W Weier, M J Peters, A van Oosterom.   

Abstract

The numerical accuracy of the boundary element (BE) method used to solve the volume conduction problem of nested compartments, each having a homogeneous conductivity, is studied. The following techniques for improving this accuracy are discussed: the handling of the auto solid angle element omega ii, the overall refinement of the level of discreteness, the use of a locally refined discrete grid, the isolated problem approach, and an adaptive refined computation of the discrete surface integrals involved in the BE method. The effects of these techniques on the numerical accuracy of the computed electrical potentials are illustrated by taking a volume conductor consisting of four concentric spheres representing the head since for this model an analytical (exact) solution is available. The techniques are of importance for numerically computed electroencephalograms (EEG's) since the numerically computed surface EEG's are severely affected by the relatively low conductivity of the compartment representing the skull.

Mesh:

Year:  1989        PMID: 2793196     DOI: 10.1109/10.40805

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  53 in total

1.  High-resolution electro-encephalogram: source estimates of Laplacian-transformed somatosensory-evoked potentials using a realistic subject head model constructed from magnetic resonance images.

Authors:  F Babiloni; C Babiloni; L Locche; F Cincotti; P M Rossini; F Carducci
Journal:  Med Biol Eng Comput       Date:  2000-09       Impact factor: 2.602

2.  Monte Carlo simulation studies of EEG and MEG localization accuracy.

Authors:  Arthur K Liu; Anders M Dale; John W Belliveau
Journal:  Hum Brain Mapp       Date:  2002-05       Impact factor: 5.038

3.  Investigating the generators of the scalp recorded visuo-verbal P300 using cortically constrained source localization.

Authors:  Kathryn A Moores; C Richard Clark; Jo L M Hadfield; Greg C Brown; D James Taylor; Sean P Fitzgibbon; Andrew C Lewis; Darren L Weber; Richard Greenblatt
Journal:  Hum Brain Mapp       Date:  2003-01       Impact factor: 5.038

4.  Neuroelectromagnetic forward head modeling toolbox.

Authors:  Zeynep Akalin Acar; Scott Makeig
Journal:  J Neurosci Methods       Date:  2010-05-08       Impact factor: 2.390

5.  Modeling of the human skull in EEG source analysis.

Authors:  Moritz Dannhauer; Benjamin Lanfer; Carsten H Wolters; Thomas R Knösche
Journal:  Hum Brain Mapp       Date:  2010-08-05       Impact factor: 5.038

6.  Source cancellation profiles of electroencephalography and magnetoencephalography.

Authors:  Andrei Irimia; John Darrell Van Horn; Eric Halgren
Journal:  Neuroimage       Date:  2011-09-18       Impact factor: 6.556

7.  Evaluating the spatial relationship of event-related potential and functional MRI sources in the primary visual cortex.

Authors:  Kevin Whittingstall; Gerhard Stroink; Matthias Schmidt
Journal:  Hum Brain Mapp       Date:  2007-02       Impact factor: 5.038

8.  Resistor mesh model of a spherical head: part 2: a review of applications to cortical mapping.

Authors:  N Chauveau; J P Morucci; X Franceries; P Celsis; B Rigaud
Journal:  Med Biol Eng Comput       Date:  2005-11       Impact factor: 2.602

9.  Resistor mesh model of a spherical head: part 1: applications to scalp potential interpolation.

Authors:  N Chauveau; J P Morucci; X Franceries; P Celsis; B Rigaud
Journal:  Med Biol Eng Comput       Date:  2005-11       Impact factor: 2.602

10.  Effects of sutures and fontanels on MEG and EEG source analysis in a realistic infant head model.

Authors:  Seok Lew; Danielle D Sliva; Myong-sun Choe; P Ellen Grant; Yoshio Okada; Carsten H Wolters; Matti S Hämäläinen
Journal:  Neuroimage       Date:  2013-03-24       Impact factor: 6.556

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