Literature DB >> 33289858

Brain Tissue Conductivity Measurements with MR-Electrical Properties Tomography: An In Vivo Study.

Stefano Mandija1,2, Petar I Petrov3, Jord J T Vink3, Sebastian F W Neggers3, Cornelis A T van den Berg4,5.   

Abstract

First in vivo brain conductivity reconstructions using Helmholtz MR-Electrical Properties Tomography (MR-EPT) have been published. However, a large variation in the reconstructed conductivity values is reported and these values differ from ex vivo conductivity measurements. Given this lack of agreement, we performed an in vivo study on eight healthy subjects to provide reference in vivo brain conductivity values. MR-EPT reconstructions were performed at 3 T for eight healthy subjects. Mean conductivity and standard deviation values in the white matter, gray matter and cerebrospinal fluid (σWM, σGM, and σCSF) were computed for each subject before and after erosion of regions at tissue boundaries, which are affected by typical MR-EPT reconstruction errors. The obtained values were compared to the reported ex vivo literature values. To benchmark the accuracy of in vivo conductivity reconstructions, the same pipeline was applied to simulated data, which allow knowledge of ground truth conductivity. Provided sufficient boundary erosion, the in vivo σWM and σGM values obtained in this study agree for the first time with literature values measured ex vivo. This could not be verified for the CSF due to its limited spatial extension. Conductivity reconstructions from simulated data verified conductivity reconstructions from in vivo data and demonstrated the importance of discarding voxels at tissue boundaries. The presented σWM and σGM values can therefore be used for comparison in future studies employing different MR-EPT techniques.

Entities:  

Keywords:  Brain; Conductivity; Electrical properties; MR-EPT

Mesh:

Year:  2020        PMID: 33289858      PMCID: PMC7803705          DOI: 10.1007/s10548-020-00813-1

Source DB:  PubMed          Journal:  Brain Topogr        ISSN: 0896-0267            Impact factor:   3.020


  40 in total

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Authors:  S Gabriel; R W Lau; C Gabriel
Journal:  Phys Med Biol       Date:  1996-11       Impact factor: 3.609

2.  The dielectric properties of biological tissues: II. Measurements in the frequency range 10 Hz to 20 GHz.

Authors:  S Gabriel; R W Lau; C Gabriel
Journal:  Phys Med Biol       Date:  1996-11       Impact factor: 3.609

3.  CSI-EPT: A Contrast Source Inversion Approach for Improved MRI-Based Electric Properties Tomography.

Authors:  Edmond Balidemaj; Cornelis A T van den Berg; Johan Trinks; Astrid L H M W van Lier; Aart J Nederveen; Lukas J A Stalpers; Hans Crezee; Rob F Remis
Journal:  IEEE Trans Med Imaging       Date:  2015-02-20       Impact factor: 10.048

4.  Feasibility of conductivity imaging using subject eddy currents induced by switching of MRI gradients.

Authors:  Omer Faruk Oran; Yusuf Ziya Ider
Journal:  Magn Reson Med       Date:  2016-07-01       Impact factor: 4.668

5.  Noninvasive electrical conductivity measurement by MRI: a test of its validity and the electrical conductivity characteristics of glioma.

Authors:  Khin Khin Tha; Ulrich Katscher; Shigeru Yamaguchi; Christian Stehning; Shunsuke Terasaka; Noriyuki Fujima; Kohsuke Kudo; Ken Kazumata; Toru Yamamoto; Marc Van Cauteren; Hiroki Shirato
Journal:  Eur Radiol       Date:  2017-07-11       Impact factor: 5.315

6.  The UHF and microwave dielectric properties of normal and tumour tissues: variation in dielectric properties with tissue water content.

Authors:  J L Schepps; K R Foster
Journal:  Phys Med Biol       Date:  1980-11       Impact factor: 3.609

7.  Complex B1 mapping and electrical properties imaging of the human brain using a 16-channel transceiver coil at 7T.

Authors:  Xiaotong Zhang; Pierre-Francois Van de Moortele; Sebastian Schmitter; Bin He
Journal:  Magn Reson Med       Date:  2012-06-12       Impact factor: 4.668

8.  Opening a new window on MR-based Electrical Properties Tomography with deep learning.

Authors:  Stefano Mandija; Ettore F Meliadò; Niek R F Huttinga; Peter R Luijten; Cornelis A T van den Berg
Journal:  Sci Rep       Date:  2019-06-20       Impact factor: 4.379

9.  Combining deep learning and 3D contrast source inversion in MR-based electrical properties tomography.

Authors:  Reijer Leijsen; Cornelis van den Berg; Andrew Webb; Rob Remis; Stefano Mandija
Journal:  NMR Biomed       Date:  2019-12-16       Impact factor: 4.478

10.  Feasibility of Imaging Tissue Electrical Conductivity by Switching Field Gradients with MRI.

Authors:  Eric Gibbs; Chunlei Liu
Journal:  Tomography       Date:  2015-12
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  1 in total

Review 1.  Deep Brain Stimulation: Emerging Tools for Simulation, Data Analysis, and Visualization.

Authors:  Karin Wårdell; Teresa Nordin; Dorian Vogel; Peter Zsigmond; Carl-Fredrik Westin; Marwan Hariz; Simone Hemm
Journal:  Front Neurosci       Date:  2022-04-11       Impact factor: 5.152

  1 in total

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