Low-Frequency Conductivity Tensor Imaging of the Human Head In Vivo Using DT-MREIT: First Study

Munish Chauhan; Aprinda Indahlastari; Aditya K. Kasinadhuni; Michael Schar; Thomas H. Mareci; Rosalind J. Sadleir

doi:10.1109/TMI.2017.2783348

Low-Frequency Conductivity Tensor Imaging of the Human Head In Vivo Using DT-MREIT: First Study

Munish Chauhan, Aprinda Indahlastari, Aditya K. Kasinadhuni, Michael Schar, Thomas H. Mareci, Rosalind J. Sadleir

School of Medicine

Research output: Contribution to journal › Article › peer-review

21 Scopus citations

Abstract

We present the first in vivo images of anisotropic conductivity distribution in the human head, measured at a frequency of approximately 10 Hz. We used magnetic resonance electrical impedance tomography techniques to encode phase changes caused by current flow within the head via two independent electrode pairs. These results were then combined with diffusion tensor imaging data to reconstruct full anisotropic conductivity distributions in 5-mm-thick slices of the brains of two participants. Conductivity values recovered in this paper were broadly consistent with literature values. We anticipate that this technique will be of use in many areas of neuroscience, most importantly in functional imaging via inverse electroencephalogram. Future studies will involve pulse sequence acceleration to maximize brain coverage and resolution.

Original language	English (US)
Pages (from-to)	966-976
Number of pages	11
Journal	IEEE transactions on medical imaging
Volume	37
Issue number	4
DOIs	https://doi.org/10.1109/TMI.2017.2783348
State	Published - Apr 2018

Keywords

Inverse electroencephalogram (EEG)
MREIT
current density imaging
tACS
tDCS

ASJC Scopus subject areas

Software
Radiological and Ultrasound Technology
Computer Science Applications
Electrical and Electronic Engineering

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10.1109/TMI.2017.2783348

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title = "Low-Frequency Conductivity Tensor Imaging of the Human Head In Vivo Using DT-MREIT: First Study",

abstract = "We present the first in vivo images of anisotropic conductivity distribution in the human head, measured at a frequency of approximately 10 Hz. We used magnetic resonance electrical impedance tomography techniques to encode phase changes caused by current flow within the head via two independent electrode pairs. These results were then combined with diffusion tensor imaging data to reconstruct full anisotropic conductivity distributions in 5-mm-thick slices of the brains of two participants. Conductivity values recovered in this paper were broadly consistent with literature values. We anticipate that this technique will be of use in many areas of neuroscience, most importantly in functional imaging via inverse electroencephalogram. Future studies will involve pulse sequence acceleration to maximize brain coverage and resolution.",

keywords = "Inverse electroencephalogram (EEG), MREIT, current density imaging, tACS, tDCS",

author = "Munish Chauhan and Aprinda Indahlastari and Kasinadhuni, {Aditya K.} and Michael Schar and Mareci, {Thomas H.} and Sadleir, {Rosalind J.}",

note = "Funding Information: Manuscript received September 21, 2017; revised December 8, 2017; accepted December 10, 2017. Date of publication December 14, 2017; date of current version April 2, 2018. This work of R. J. Sadleir was supported by the National Institute of Neurological Disorders and Stroke of the National Institutes of Health under Award R21NS081646. (Corresponding author: Rosalind J. Sadleir.) M. Chauhan, A. Indahlastari, and R. J. Sadleir are with the School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ 85287 USA (e-mail: mchauha4@asu.edu; aindahla@asu.edu; rsadleir@asu.edu). Publisher Copyright: {\textcopyright} 1982-2012 IEEE.",

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AU - Schar, Michael

AU - Mareci, Thomas H.

AU - Sadleir, Rosalind J.

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Low-Frequency Conductivity Tensor Imaging of the Human Head In Vivo Using DT-MREIT: First Study

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