BEM based solution of forward problem for brain source estimation

Munsif Ali Jatoi, Nidal Kamel, Ibrahima Faye, Aamir Saeed Malik, Jose Miguel Bornot, Tahamina Begum

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

17 Citations (Scopus)

Abstract

The localization of active sources inside the brain is termed as brain source localization. However, when the neuroimaging technique is EEG, then it is specifically termed as EEG source localization. This problem is also referred to as EEG inverse problem. The source localization problem is defined by forward problem and inverse problem. For the forward problem, head modelling is carried out by using either analytical methods or by using numerical techniques such as finite element method (FEM), boundary element method (BEM) and finite difference method (FDM). This head modelling information is further used to localize the active regions by estimating the current density by using various inverse algorithms. This research discusses the usage of boundary element method (BEM) for the modelling of head and consequently generation of simulated data. The results have shown that by simulating dipole on the cortical surface, the simulated EEG data can be generated. Hence, after the generation of simulated data, the inverse techniques are applied for the localization of active sources. This information can be used for the estimation of active sources inside the brain during various physical activities and for localizing of brain parts for the diagnoses of various brain disorders.
Original languageEnglish
Title of host publication2015 IEEE International Conference on Signal and Image Processing Applications (ICSIPA)
Pages180-185
Number of pages6
DOIs
Publication statusPublished (in print/issue) - Oct 2015

Keywords

  • Boundary Element Method (BEM)
  • Electroencephalography (EEG)
  • Forward Problem
  • Source localization

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