Literature DB >> 15798241

Electrical conductivity images of biological tissue phantoms in MREIT.

Suk Hoon Oh1, Byung Il Lee, Eung Je Woo, Soo Yeol Lee, Tae-Seong Kim, Ohin Kwon, Jin Keun Seo.   

Abstract

We present cross-sectional conductivity images of two biological tissue phantoms. Each of the cylindrical phantoms with both diameter and height of 140 mm contained chunks of biological tissues such as bovine tongue and liver, porcine muscle and chicken breast within a conductive agar gelatin as the background medium. We attached four recessed electrodes on the sides of the phantom with equal spacing among them. Injecting current pulses of 480 or 120 mA ms into the phantom along two different directions, we measured the z-component Bz of the induced magnetic flux density B=(Bx, By, Bz) with a magnetic resonance electrical impedance tomography (MREIT) system based on a 3.0 T MRI scanner. Using the harmonic Bz algorithm, we reconstructed cross-sectional conductivity images from the measured Bz data. Reconstructed images clearly distinguish different tissues in terms of both their shapes and conductivity values. In this paper, we experimentally demonstrate the feasibility of the MREIT technique in producing conductivity images of different biological soft tissues with a high spatial resolution and accuracy when we use a sufficient amount of the injection current.

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Year:  2005        PMID: 15798241     DOI: 10.1088/0967-3334/26/2/026

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


  9 in total

1.  High field MREIT: setup and tissue phantom imaging at 11 T.

Authors:  Rosalind Sadleir; Samuel Grant; Sung Uk Zhang; Suk Hoon Oh; Byung Il Lee; Eung Je Woo
Journal:  Physiol Meas       Date:  2006-04-24       Impact factor: 2.833

2.  Fast imaging for magnetic resonance electrical impedance tomography.

Authors:  Mark J Hamamura; L Tugan Muftuler
Journal:  Magn Reson Imaging       Date:  2008-05-21       Impact factor: 2.546

3.  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

4.  A versatile high-permittivity phantom for EIT.

Authors:  Tzu-Jen Kao; Gary J Saulnier; David Isaacson; Tomas L Szabo; Jonathan C Newell
Journal:  IEEE Trans Biomed Eng       Date:  2008-11       Impact factor: 4.538

5.  MREIT with SENSE acceleration using a dedicated RF coil design.

Authors:  L Tugan Muftuler; Gang Chen; Mark J Hamamura; Seung Hoon Ha
Journal:  Physiol Meas       Date:  2009-07-30       Impact factor: 2.833

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.  Extracting Parasite Effects of Electrical Bioimpedance Measurements.

Authors:  Douglas Dutra; Pedro Bertemes-Filho
Journal:  J Electr Bioimpedance       Date:  2018-12-31

8.  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

9.  Optimization of magnetic flux density for fast MREIT conductivity imaging using multi-echo interleaved partial fourier acquisitions.

Authors:  Munish Chauhan; Woo Chul Jeong; Hyung Joong Kim; Oh In Kwon; Eung Je Woo
Journal:  Biomed Eng Online       Date:  2013-08-27       Impact factor: 2.819

  9 in total

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