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 Sadleir

Research output: Contribution to journalArticlepeer-review

19 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 languageEnglish (US)
Pages (from-to)966-976
Number of pages11
JournalIEEE Transactions on Medical Imaging
Volume37
Issue number4
DOIs
StatePublished - 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

Fingerprint Dive into the research topics of 'Low-Frequency Conductivity Tensor Imaging of the Human Head In Vivo Using DT-MREIT: First Study'. Together they form a unique fingerprint.

Cite this