Brain Tissue Conductivity Reconstruction Based on Diffusion Tensor Magnetic Resonance Imaging: A Simulation Study
- Resource Type
- Conference
- Authors
- Yan, Dandan; Zhang, Xiaotong; Gao, Nuo; Zhu, Shanan; Mueller, Bryon; Lim, Kelvin; Liu, Zhongming; He, Bin
- Source
- 2007 Joint Meeting of the 6th International Symposium on Noninvasive Functional Source Imaging of the Brain and Heart and the International Conference on Functional Biomedical Imaging 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. :117-119 Oct, 2007
- Subject
- Bioengineering
Computing and Processing
Signal Processing and Analysis
Conductivity
Image reconstruction
Diffusion tensor imaging
Brain modeling
Anisotropic magnetoresistance
Magnetic resonance
Impedance
Tomography
Computer simulation
Convergence
- Language
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.