Brain Tissue Conductivity Reconstruction Based on Diffusion Tensor Magnetic Resonance Imaging: A Simulation Study

Author

Yan, Dandan ; Zhang, Xiaotong ; Gao, Nuo ; Zhu, Shanan ; Mueller, Bryon ; Lim, Kelvin ; Liu, Zhongming ; He, Bin

Author_Institution

Zhejiang Univ., Hangzhou

fYear

2007

fDate

12-14 Oct. 2007

Firstpage

117

Lastpage

119

Abstract

Magnetic resonance electrical impedance tomography (MREIT) is used to reconstruct the conductivities of the brain tissues, including the isotropic CSF, gray matter and the anisotropic white matter. The target conductivity of the anisotropic white matter is based on the data from Diffusion Tensor Magnetic Resonance Imaging. A series of computer simulation results suggest the feasibility of the proposed RBF-MREIT algorithm and its fast convergence feature together with improved robustness against noise.

Keywords

bioelectric phenomena; biological tissues; biomedical MRI; brain; electric impedance imaging; finite element analysis; medical image processing; radial basis function networks; CSF; RBF-MREIT algorithm; anisotropic white matter; brain tissue conductivity reconstruction; diffusion tensor magnetic resonance imaging:; electrical impedance tomography; gray matter; Anisotropic magnetoresistance; Brain modeling; Computer simulation; Conductivity; Convergence; Diffusion tensor imaging; Image reconstruction; Impedance; Magnetic resonance; Tomography;

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.2007.4387702

Filename

4387702