DocumentCode :
534623
Title :
A simulation study on induced current magnetic resonance electrical impedance tomography of anisotropic brain tissues
Author :
Liu, Yang ; Dai, Songshi
Author_Institution :
Dept. of Electron. & Electr. Eng., Xiamen Univ. of Technol., Xiamen, China
Volume :
1
fYear :
2010
fDate :
16-18 Oct. 2010
Firstpage :
75
Lastpage :
77
Abstract :
An induced current magnetic resonance electrical conductivity tomography (IC-MREIT) algorithm was developed to reconstruct the anisotropic electrical conductivity distribution of the human brain. The IC-MREIT J-substitution algorithm was adopted to reconstruct isotropic conductivity which was used as the initial information to reconstruct the anisotropic conductivity distribution iteratively. The simulation results conducted on a three-sphere head model suggest that the proposed algorithm can reconstruct the anisotropic conductivity distribution of brain tissues with good accuracy and is robust to measurement noise.
Keywords :
biological tissues; biomedical MRI; brain; electric impedance imaging; electrical conductivity; neurophysiology; J-substitution algorithm; anisotropic brain tissues; anisotropic conductivity distribution; anisotropic electrical conductivity distribution; human brain; induced current magnetic resonance electrical conductivity tomography algorithm; induced current magnetic resonance electrical impedance tomography; isotropic conductivity; noise; three-sphere head model; Brain modeling; Conductivity; Head; Image reconstruction; Impedance; Magnetic resonance; Tomography; anisotropic conductivity; brain tissue; induced current magnetic resonance electrical impedance tomography; magnetic resonance electrical impedance tomography;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Engineering and Informatics (BMEI), 2010 3rd International Conference on
Conference_Location :
Yantai
Print_ISBN :
978-1-4244-6495-1
Type :
conf
DOI :
10.1109/BMEI.2010.5639651
Filename :
5639651
Link To Document :
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