Detecting Human Head Conductivity Distribution by Means of a RSM- MREIT Algorithm

Author

Gao, Nuo ; Zhu, Shanan ; He, Bin

Author_Institution

Coll. of Electr. Eng., Zhejiang Univ., Hangzhou

fYear

2006

Firstpage

2641

Lastpage

2643

Abstract

We have developed a new magnetic resonance electrical impedance tomography (MREIT) algorithm, RSM-MREIT. This new algorithm uses response surface methodology (RSM) and Simplex method to reconstruct subject´s conductivity distribution. RSM-MREIT algorithm uses only one component of the measured magnetic flux density to reconstruct the conductivity images, and, consequently, solves the rotation problem in MREIT. The proposed algorithm is tested on a three-sphere head model and the simulation results suggest that the proposed algorithm can reconstruct the conductivity distribution with high accuracy

Keywords

bioelectric phenomena; biomagnetism; biomedical MRI; brain models; electric impedance imaging; image reconstruction; medical image processing; response surface methodology; RSM-MREIT algorithm; Simplex method; conductivity image reconstruction; human head conductivity distribution detection; magnetic flux density; magnetic resonance electrical impedance tomography; response surface methodology; rotation problem; three-sphere head model; Conductivity; Density measurement; Humans; Image reconstruction; Magnetic heads; Magnetic resonance; Response surface methodology; Surface impedance; Surface reconstruction; Tomography; conductivity; magnetic resonance electrical impedance tomography; response surface methodology;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the

Conference_Location

Shanghai

Print_ISBN

0-7803-8741-4

Type

conf

DOI

10.1109/IEMBS.2005.1617012

Filename

1617012