• DocumentCode
    1789448
  • Title

    Brain tissues anisotropic conductivity model based on diffusion tensor imaging

  • Author

    Zhanxiong, W.U. ; Xun, L.I.

  • Author_Institution
    Sch. of Electron. Inf., Hangzhou Dianzi Univ., Hangzhou, China
  • fYear
    2014
  • fDate
    14-16 Oct. 2014
  • Firstpage
    29
  • Lastpage
    31
  • Abstract
    The brain tissue conductivity not only plays key role in the analysis of electroencephalography (EEG) and magnetoencephalography (MEG), but also is one key factor of diagnosing brain functional change in time. Diffusion tensor imaging (DTI) is a non-invasive imaging method, with high spatial-resolution. The importance of conductivity imaging of brain inner tissue is remarkable. This paper summarized the existing WM anisotropic conductivity models, including the model of linear-eigenvalues, the model of electric viscous force balance, Wang-constraint model, volume-constraint model, volume fraction model, and electrochemical model. At last the properties of these models were discussed, and the forward trend of this topic was discussed.
  • Keywords
    biodiffusion; biological tissues; biomedical MRI; brain; eigenvalues and eigenfunctions; electrical conductivity; electrochemistry; electroencephalography; magnetoencephalography; EEG; MEG; WM anisotropic conductivity models; Wang-constraint model; brain functional change diagnosis; brain inner tissue; brain tissue anisotropic conductivity model; diffusion tensor imaging; electric viscous force balance; electrochemical model; electroencephalography; linear-eigenvalue model; magnetoencephalography; noninvasive imaging method; spatial-resolution; volume fraction model; volume-constraint model; Biomedical engineering; Informatics; DTI; WM; conductivity model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering and Informatics (BMEI), 2014 7th International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-1-4799-5837-5
  • Type

    conf

  • DOI
    10.1109/BMEI.2014.7002736
  • Filename
    7002736