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Journal of Zhejiang University SCIENCE B 2005 Vol.6 No.5 P.438-445


Use of 3-D magnetic resonance electrical impedance tomography in detecting human cerebral stroke: a simulation study

Author(s):  GAO Nuo, ZHU Shan-an, HE Bin

Affiliation(s):  School of Electrical Engineering, Zhejiang University, Hangzhou 310027, China; more

Corresponding email(s):   gaonuo@jnnc.com, binhe@umn.edu

Key Words:  Magnetic Resonance Electrical Impedance Tomography, Conductivity, Acute cerebral stroke, Hemorrhagic stroke, Ischemic stroke, Current density imaging

GAO Nuo, ZHU Shan-an, HE Bin. Use of 3-D magnetic resonance electrical impedance tomography in detecting human cerebral stroke: a simulation study[J]. Journal of Zhejiang University Science B, 2005, 6(5): 438-445.

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author="GAO Nuo, ZHU Shan-an, HE Bin",
journal="Journal of Zhejiang University Science B",
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%0 Journal Article
%T Use of 3-D magnetic resonance electrical impedance tomography in detecting human cerebral stroke: a simulation study
%A GAO Nuo
%A ZHU Shan-an
%A HE Bin
%J Journal of Zhejiang University SCIENCE B
%V 6
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%P 438-445
%@ 1673-1581
%D 2005
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2005.B0438

T1 - Use of 3-D magnetic resonance electrical impedance tomography in detecting human cerebral stroke: a simulation study
A1 - GAO Nuo
A1 - ZHU Shan-an
A1 - HE Bin
J0 - Journal of Zhejiang University Science B
VL - 6
IS - 5
SP - 438
EP - 445
%@ 1673-1581
Y1 - 2005
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.2005.B0438

We have developed a new three dimensional (3-D) conductivity imaging approach and have used it to detect human brain conductivity changes corresponding to acute cerebral stroke. The proposed magnetic Resonance Electrical Impedance Tomography (MREIT) approach is based on the J-Substitution algorithm and is expanded to imaging 3-D subject conductivity distribution changes. Computer simulation studies have been conducted to evaluate the present MREIT imaging approach. Simulations of both types of cerebral stroke, hemorrhagic stroke and ischemic stroke, were performed on a four-sphere head model. Simulation results showed that the correlation coefficient (CC) and relative error (RE) between target and estimated conductivity distributions were 0.9245±0.0068 and 8.9997%±0.0084%, for hemorrhagic stroke, and 0.6748±0.0197 and 8.8986%±0.0089%, for ischemic stroke, when the SNR (signal-to-noise radio) of added GWN (Gaussian White Noise) was 40. The convergence characteristic was also evaluated according to the changes of CC and RE with different iteration numbers. The CC increases and RE decreases monotonously with the increasing number of iterations. The present simulation results show the feasibility of the proposed 3-D MREIT approach in hemorrhagic and ischemic stroke detection and suggest that the method may become a useful alternative in clinical diagnosis of acute cerebral stroke in humans.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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