Title :
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
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;
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
DOI :
10.1109/NFSI-ICFBI.2007.4387702
