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3D segmented model of head for modelling electrical activity of brain

Egill A. Friðgeirsson, Paolo Gargiulo, Ceon Ramon, Jens Haueisen
  • Egill A. Friðgeirsson
    Department of Development CE and IT, Landspitali University Hospital, Reykjavik, Iceland | paologar@landspitali.is
  • Paolo Gargiulo
    Department of Biomedical Engineering, University of Reykjavik, Iceland
  • Ceon Ramon
    Department of Electrical Engineering, University of Washington, United States
  • Jens Haueisen
    Institute of Biomedical Engineering and Informatics, Technical University Ilmenau, Germany

Abstract

Computer simulation and modelling of the human body and its behaviour are very useful tools in situations where it is either too risky to perform an invasive procedure or too costly for in vivo experiments or simply impossible for ethical reasons. In this paper we describe a method to model the electrical behaviour of human brain from segmented MR images. The aim of the work is to use these models to predict the electrical activity of human brain under normal and pathological conditions. The image processing software package MIMICS is used for 3D volume segmentation of MR images. These models have detailed 3D representation of major tissue surfaces within the head, with over 12 different tissues segmented. In addition, computational tools in Matlab were developed for calculating normal vectors on the brain surface and for associating this information to the equivalent electrical dipole sources as an input into the model.

Keywords

EEG modeling, finite element, realistic head model, segmentation

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Submitted: 2013-07-03 10:52:56
Published: 2012-03-06 00:00:00
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Copyright (c) 2012 Egill A. Friðgeirsson, Paolo Gargiulo, Ceon Ramon, Jens Haueisen

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