Induced current magnetic resonance electrical impedance tomography for anisotropic brain tissues

Yang Liu, Zhan Xiong Wu, Shan An Zhu, Bin He

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

A novel induced current magnetic resonance electrical impedance tomography (IC-MREIT) algorithm was developed with the diffusion tensor magnetic resonance imaging (DT-MRI) technique in order to image the anisotropic conductivity distribution of brain tissues. The isotropic conductivity distribution of scalp, skull, cerebrospinal fluid, gray matter and the equivalent isotropic conductivity distribution of white matter were reconstructed by IC-MREIT J-substitution algorithm. The equivalent isotropic conductivity distribution was used as the initial information in order to iteratively reconstruct anisotropic conductivity distribution of the white matter. A realistic head model consisting of five compartments was constructed based on the magnetic resonance imaging (MRI) data, and the model was used to examine the feasibility of the algorithm. With the 0% and 15% noise levels, the relative errors between the target and the reconstructed conductivity distribution were less than 15% and 24%, respectively. The simulation results show that the algorithm is robust to measurement noise and has high accuracy.

Original languageEnglish (US)
Pages (from-to)168-172
Number of pages5
JournalZhejiang Daxue Xuebao (Gongxue Ban)/Journal of Zhejiang University (Engineering Science)
Volume45
Issue number1
DOIs
StatePublished - Jan 1 2011

Keywords

  • Anisotropy
  • Brain tissue
  • Electrical impedance tomography
  • Magnetic resonance imaging (MRI)

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