Literature DB >> 18799838

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

Hyung Joong Kim1, 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.   

Abstract

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.

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Year:  2008        PMID: 18799838     DOI: 10.1088/0967-3334/29/10/001

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


  16 in total

1.  Projected current density comparison in tDCS block and smooth FE modeling.

Authors:  Aprinda Indahlastari; Munish Chauhan; Rosalind J Sadleir
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2016-08

2.  Can high-field MREIT be used to directly detect neural activity? Theoretical considerations.

Authors:  R J Sadleir; S C Grant; E J Woo
Journal:  Neuroimage       Date:  2010-04-09       Impact factor: 6.556

3.  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

4.  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

5.  Evaluation of magnetohydrodynamic effects in magnetic resonance electrical impedance tomography at ultra-high magnetic fields.

Authors:  Atul S Minhas; Munish Chauhan; Fanrui Fu; Rosalind Sadleir
Journal:  Magn Reson Med       Date:  2018-11-19       Impact factor: 4.668

6.  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

7.  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

8.  Characterisation and imaging of cortical impedance changes during interictal and ictal activity in the anaesthetised rat.

Authors:  Anna N Vongerichten; Gustavo Sato Dos Santos; Kirill Aristovich; James Avery; Andrew McEvoy; Matthew Walker; David S Holder
Journal:  Neuroimage       Date:  2015-09-12       Impact factor: 6.556

9.  Current density imaging using directly measured harmonic Bz data in MREIT.

Authors:  Chunjae Park; Oh In Kwon
Journal:  Comput Math Methods Med       Date:  2013-03-20       Impact factor: 2.238

10.  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

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