Detecting Human Head Conductivity Distribution Using One Component Magnetic Flux Density

Author

Gao, Nuo ; Zhu, Shanan ; He, Bin

Author_Institution

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

fYear

2006

Firstpage

1537

Lastpage

1539

Abstract

We propose a novel magnetic resonance electrical impedance tomography (MREIT) algorithm, RBF-MREIT algorithm and apply it to reconstruct the conductivity distribution of human head. Computer simulations are conducted on a three-sphere head model to test the feasibility of the proposed algorithm. The simulation results demonstrate that the RBF-MREIT algorithm can estimate the conductivity values within the head using only one component of the magnetic flux density

Keywords

bioelectric phenomena; biomagnetism; biomedical MRI; brain models; electric impedance imaging; image reconstruction; medical image processing; radial basis function networks; RBF-MREIT algorithm; human head conductivity distribution detection; image reconstruction; magnetic resonance electrical impedance tomography algorithm; one component magnetic flux; three-sphere head model; Computational modeling; Computer simulation; Conductivity; Humans; Impedance; Magnetic flux density; Magnetic heads; Magnetic resonance; Testing; Tomography; Conductivity; Current Density Imaging; Human Head; Magnetic Resonance Electrical Impedance Tomography; Radial Basis Function Network;

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.2005.1616726

Filename

1616726