Literature DB >> 17978419

Conductivity imaging of canine brain using a 3 T MREIT system: postmortem experiments.

Hyung Joong Kim1, Byung Il Lee, Young Cho, Young Tae Kim, Byeong Teck Kang, Hee Myung Park, Soo Yeol Lee, Jin Keun Seo, Eung Je Woo.   

Abstract

Magnetic resonance electrical impedance tomography (MREIT) has the potential to provide conductivity images with high spatial resolution and accuracy. Recent studies using various conductivity phantoms showed that the spatial resolution could be similar to that of conventional MR images as long as enough current is injected. Before we try in vivo animal imaging studies using a small injection current of less than 5 mA, we have performed MREIT conductivity imaging of postmortem canine brains using 40 mA injection currents. The primary goals were to produce high-resolution conductivity images of white and gray matter in situ and to accumulate experimental techniques to undertake in vivo animal imaging studies in the near future. Reconstructed conductivity images of two canine brains with a pixel size of 1.4 x 1.4 mm(2) showed a clear conductivity contrast between gray and white matter. Considering the anisotropic conductivity of white matter, we interpreted reconstructed conductivity images as equivalent isotropic conductivity images. Estimated conductivity ratios of white to gray matter were between 1.13 and 1.20 depending on the choice of a region of interest in reconstructed images. A higher conductivity value of white matter compared with that of gray matter stems from the fact that the reconstructed equivalent isotropic conductivity value of white matter reflects a high conductivity of white matter in the direction parallel to its fibers. We expect that this kind of postmortem animal imaging can provide conductivity information on tissues in situ to be utilized in numerous modeling studies.

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Year:  2007        PMID: 17978419     DOI: 10.1088/0967-3334/28/11/002

Source DB:  PubMed          Journal:  Physiol Meas        ISSN: 0967-3334            Impact factor:   2.833


  8 in total

1.  MREIT experiments with 200 µA injected currents: a feasibility study using two reconstruction algorithms, SMM and harmonic B(Z).

Authors:  V E Arpinar; M J Hamamura; E Degirmenci; L T Muftuler
Journal:  Phys Med Biol       Date:  2012-06-08       Impact factor: 3.609

2.  Imaging artifacts induced by electrical stimulation during conventional fMRI of the brain.

Authors:  Andrea Antal; Marom Bikson; Abhishek Datta; Belen Lafon; Peter Dechent; Lucas C Parra; Walter Paulus
Journal:  Neuroimage       Date:  2012-10-23       Impact factor: 6.556

3.  A feasibility study of magnetic resonance electrical impedance tomography for prostate cancer detection.

Authors:  Yang Liu; Yingchun Zhang
Journal:  Physiol Meas       Date:  2014-03-12       Impact factor: 2.833

4.  Accelerating acquisition strategies for low-frequency conductivity imaging using MREIT.

Authors:  Yizhuang Song; Jin Keun Seo; Munish Chauhan; Aprinda Indahlastari; Neeta Ashok Kumar; Rosalind Sadleir
Journal:  Phys Med Biol       Date:  2018-02-13       Impact factor: 3.609

5.  Induced current magnetic resonance electrical impedance tomography of brain tissues based on the J-substitution algorithm: a simulation study.

Authors:  Yang Liu; Shanan Zhu; Bin He
Journal:  Phys Med Biol       Date:  2009-06-26       Impact factor: 3.609

6.  Low frequency conductivity reconstruction based on a single current injection via MREIT.

Authors:  Yizhuang Song; Saurav Z K Sajib; Haiyang Wang; Hyeuknam Kwon; Munish Chauhan; Jin Keun Seo; Rosalind Sadleir
Journal:  Phys Med Biol       Date:  2020-11-17       Impact factor: 3.609

7.  Electrical Properties Tomography Based on $B_{{1}}$ Maps in MRI: Principles, Applications, and Challenges.

Authors:  Jiaen Liu; Yicun Wang; Ulrich Katscher; Bin He
Journal:  IEEE Trans Biomed Eng       Date:  2017-08-21       Impact factor: 4.538

8.  Numerical simulations of MREIT conductivity imaging for brain tumor detection.

Authors:  Zi Jun Meng; Saurav Z K Sajib; Munish Chauhan; Rosalind J Sadleir; Hyung Joong Kim; Oh In Kwon; Eung Je Woo
Journal:  Comput Math Methods Med       Date:  2013-04-29       Impact factor: 2.238

  8 in total

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