A New Algorithm to Extract the Anisotropic Conductivity Distribution of White Matter from DT-MRI

Author

Kun Wang ; Shanan Zhu ; Mueller, B. ; Lim, Khan ; Zhongming Liu ; Bin He

Author_Institution

Zhejiang Univ., Hangzhou

fYear

2007

fDate

12-14 Oct. 2007

Firstpage

127

Lastpage

129

Abstract

We have proposed a new algorithm to extract the anisotropic conductivity of the White Matter (WM) from the diffusion tensor magnetic resonance imaging (DT-MRI) utilizing the volume fraction of the glia, axons and partial CSF within each voxel (VF). The EEG forward problem was solved by means of the finite difference method (FDM), and served to evaluate the proposed VF algorithm. The present computer simulation results suggest that the VF algorithm incorporates the partial volume effects of the CSF and the intravoxel fiber crossing structure, both of which will affect the scalp EEG distribution.

Keywords

bioelectric potentials; biomedical MRI; electroencephalography; finite difference methods; medical image processing; DT-MRI; EEG forward problem; anisotropic conductivity distribution; axons; diffusion tensor magnetic resonance imaging; finite difference method; glia; intravoxel fiber crossing structure; partial CSF; partial volume effects; white matter; Anisotropic magnetoresistance; Conductivity; Diffusion tensor imaging; Eigenvalues and eigenfunctions; Electroencephalography; Finite difference methods; Head; Nerve fibers; Scalp; Tensile stress;

fLanguage

English

Publisher

ieee

Conference_Titel

Noninvasive Functional Source Imaging of the Brain and Heart and the International Conference on Functional Biomedical Imaging, 2007. NFSI-ICFBI 2007. Joint Meeting of the 6th International Symposium on

Conference_Location

Hangzhou

Print_ISBN

978-1-4244-0949-5

Electronic_ISBN

978-1-4244-0949-5

Type

conf

DOI

10.1109/NFSI-ICFBI.2007.4387705

Filename

4387705