Simulation on two-step magnetic resonance electrical impedance tomography of brain anomaly tissues

Dan Dan Yan, Xiao Tong Zhang, Shan An Zhu, Bin He

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Two-step magnetic resonance electrical impedance tomography (MREIT) algorithm based on Radial basic function (RBF) neural network was used to reconstruct the electrical impedance distribution of the encephalic pathological tissues on the three-sphere and realistic head model. The high resolution magnetic resonance imaging system was used to construct the three-dimensional head model and identify the boundary of different tissues. Then the two-step MREIT algorithm was applied to estimate the piece-wise homogeneous and inhomogeneous impedance of the pathological tissue respectively. The simulation verified that the two-step MREIT algorithm is a feasible means to reconstruct the continuous electric impedance distribution, especially for the complicated human head tissues, with simple imaging process, robustness against noise, and high spatial resolution.

Original languageEnglish (US)
Pages (from-to)661-666
Number of pages6
JournalZhejiang Daxue Xuebao (Gongxue Ban)/Journal of Zhejiang University (Engineering Science)
Volume42
Issue number4
StatePublished - Apr 1 2008

Keywords

  • Electrical impedance tomography (EIT)
  • Encephalic pathological tissues
  • Magnetic resonance electrical impedance tomography (MREIT)
  • Radial basic function neural network

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