Literature DB >> 15170853

Magnetic resonance electrical impedance tomography at 3 Tesla field strength.

Suk H Oh1, Byung I Lee, Tae S Park, Soo Y Lee, Eung J Woo, Min H Cho, Jin K Seo, Ohin Kwon.   

Abstract

Magnetic resonance electrical impedance tomography (MREIT) is a recently developed imaging technique that combines MRI and electrical impedance tomography (EIT). In MREIT, cross-sectional electrical conductivity images are reconstructed from the internal magnetic field density data produced inside an electrically conducting object when an electrical current is injected into the object. In this work we present the results of electrical conductivity imaging experiments, and performance evaluations of MREIT in terms of noise characteristics and spatial resolution. The MREIT experiment was performed with a 3.0 Tesla MRI system on a phantom with an inhomogeneous conductivity distribution. We reconstructed the conductivity images in a 128 x 128 matrix format by applying the harmonic B(z) algorithm to the z-component of the internal magnetic field density data. Since the harmonic B(z) algorithm uses only a single component of the internal magnetic field data, it was not necessary to rotate the object in the MRI scan. The root mean squared (RMS) errors of the reconstructed images were between 11% and 35% when the injection current was 24 mA. Copyright 2004 Wiley-Liss, Inc.

Mesh:

Year:  2004        PMID: 15170853     DOI: 10.1002/mrm.20091

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  2 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.  Noninvasive Electric Current Induction for Low-Frequency Tissue Conductivity Reconstruction: Is It Feasible With a TMS-MRI Setup?

Authors:  Stefano Mandija; Petar I Petrov; Sebastian F W Neggers; Peter R Luijten; Cornelis A T van den Berg
Journal:  Tomography       Date:  2016-09
  2 in total

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