NDLI: Electrical Conductivity Imaging of Postmortem Canine Brains using Magnetic Resonance Electrical Impedance Tomography

Content Provider	IEEE Xplore Digital Library
Author	Eung Je Woo Hyung Joong Kim Byung Il Lee Young Tae Kim Soo Yeol Lee
Copyright Year	2007
Description	Author affiliation: Kyung Hee Univ., Seoul (Eung Je Woo; Hyung Joong Kim; Byung Il Lee; Young Tae Kim; Soo Yeol Lee)
Abstract	Cross-sectional images of a conductivity distribution inside a postmortem canine brain were reconstructed using Magnetic Resonance Electrical Impedance Tomography (MREIT) techniques. Injecting currents through pairs of surface electrodes, we measured distributions of induced magnetic flux densities inside the brain using a 3T MRI scanner. We used a conductivity image reconstruction algorithm called the harmonic $B_{z}$ algorithm to produce conductivity images. The spatial resolution of conductivity images was 1.406times1.406 $mm^{2}$ and they showed a clear contrast between white and gray matters. Conductivity ratios of white to gray matters were between 1.13 and 1.20 depending on the choice of a region of interest in reconstructed images. Higher conductivity values of white matters stem from the fact that reconstructed equivalent isotropic conductivity values of white matters are more affected by longitudinal components of their anisotropic conductivity tensors. In this postmortem experimental study, the amplitude of the injection current was 40 mA that is too high any in vivo experiments. From the postmortem experimental results summarized in this paper, we proposed an experimental protocol for in vivo animal experiments in our future studies.
Starting Page	4146
Ending Page	4149
File Size	341397
Page Count	4
File Format	PDF
ISBN	9781424407873
ISSN	1557170X
DOI	10.1109/IEMBS.2007.4353249
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-08-22
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Conductivity Magnetic resonance imaging Magnetic resonance Tomography Image reconstruction Surface impedance Surface reconstruction Electrodes Density measurement Current measurement
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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