In vivo electrical conductivity imaging of a canine brain using a 3 T MREIT system

Hyung Joong Kim, Tong In Oh, Young Tae Kim, Byung Il Lee, Eung Je Woo, Jin Keun Seo, Soo Yeol Lee, Ohin Kwon, Chunjae Park, Byeong Teck Kang, Hee Myung Park

Research output: Contribution to journalArticlepeer-review

63 Citations (Scopus)


Magnetic resonance electrical impedance tomography (MREIT) aims at producing high-resolution cross-sectional conductivity images of an electrically conducting object such as the human body. Following numerous phantom imaging experiments, the most recent study demonstrated successful conductivity image reconstructions of postmortem canine brains using a 3 T MREIT system with 40 mA imaging currents. Here, we report the results of in vivo animal imaging experiments using 5 mA imaging currents. To investigate any change of electrical conductivity due to brain ischemia, canine brains having a regional ischemic model were scanned along with separate scans of canine brains having no disease model. Reconstructed multi-slice conductivity images of in vivo canine brains with a pixel size of 1.4 mm showed a clear contrast between white and gray matter and also between normal and ischemic regions. We found that the conductivity value of an ischemic region decreased by about 10-14%. In a postmortem brain, conductivity values of white and gray matter decreased by about 4-8% compared to those in a live brain. Accumulating more experience of in vivo animal imaging experiments, we plan to move to human experiments. One of the important goals of our future work is the reduction of the imaging current to a level that a human subject can tolerate. The ability to acquire high-resolution conductivity images will find numerous clinical applications not supported by other medical imaging modalities. Potential applications in biology, chemistry and material science are also expected.

Original languageEnglish
Pages (from-to)1145-1155
Number of pages11
JournalPhysiological measurement
Issue number10
Publication statusPublished - 2008 Oct 1

All Science Journal Classification (ASJC) codes

  • Biophysics
  • Physiology
  • Biomedical Engineering
  • Physiology (medical)


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