Literature DB >> 12166867

J-substitution algorithm in magnetic resonance electrical impedance tomography (MREIT): phantom experiments for static resistivity images.

Hyun Soo Khang1, Byung Il Lee, Suk Hoon Oh, Eung Je Woo, Soo Yeol Lee, Min Hyoung Cho, Ohin Kwon, Jeong Rock Yoon, Jin Keun Seo.   

Abstract

Recently, a new static resistivity image reconstruction algorithm is proposed utilizing internal current density data obtained by magnetic resonance current density imaging technique. This new imaging method is called magnetic resonance electrical impedance tomography (MREIT). The derivation and performance of J-substitution algorithm in MREIT have been reported as a new accurate and high-resolution static impedance imaging technique via computer simulation methods. In this paper, we present experimental procedures, denoising techniques, and image reconstructions using a 0.3-tesla (T) experimental MREIT system and saline phantoms. MREIT using J-substitution algorithm effectively utilizes the internal current density information resolving the problem inherent in a conventional EIT, that is, the low sensitivity of boundary measurements to any changes of internal tissue resistivity values. Resistivity images of saline phantoms show an accuracy of 6.8%-47.2% and spatial resolution of 64 x 64. Both of them can be significantly improved by using an MRI system with a better signal-to-noise ratio.

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Year:  2002        PMID: 12166867     DOI: 10.1109/TMI.2002.800604

Source DB:  PubMed          Journal:  IEEE Trans Med Imaging        ISSN: 0278-0062            Impact factor:   10.048


  10 in total

1.  A new magnetic resonance electrical impedance tomography (MREIT) algorithm: the RSM-MREIT algorithm with applications to estimation of human head conductivity.

Authors:  Nuo Gao; S A Zhu; Bin He
Journal:  Phys Med Biol       Date:  2006-05-31       Impact factor: 3.609

2.  Sparse reconstruction of log-conductivity in current density impedance tomography.

Authors:  Madhu Gupta; Rohit Kumar Mishra; Souvik Roy
Journal:  J Math Imaging Vis       Date:  2019-11-19       Impact factor: 1.627

3.  Use of 3-D magnetic resonance electrical impedance tomography in detecting human cerebral stroke: a simulation study.

Authors:  Nuo Gao; Shan-An Zhu; Bin He
Journal:  J Zhejiang Univ Sci B       Date:  2005-05       Impact factor: 3.066

4.  Complex B1 mapping and electrical properties imaging of the human brain using a 16-channel transceiver coil at 7T.

Authors:  Xiaotong Zhang; Pierre-Francois Van de Moortele; Sebastian Schmitter; Bin He
Journal:  Magn Reson Med       Date:  2012-06-12       Impact factor: 4.668

5.  Imaging electric properties of biological tissues by RF field mapping in MRI.

Authors:  Xiaotong Zhang; Shanan Zhu; Bin He
Journal:  IEEE Trans Med Imaging       Date:  2010-02       Impact factor: 10.048

Review 6.  Magnetoacoustic tomography with magnetic induction (MAT-MI) for imaging electrical conductivity of biological tissue: a tutorial review.

Authors:  Xu Li; Kai Yu; Bin He
Journal:  Phys Med Biol       Date:  2016-08-19       Impact factor: 3.609

7.  Low frequency conductivity reconstruction based on a single current injection via MREIT.

Authors:  Yizhuang Song; Saurav Z K Sajib; Haiyang Wang; Hyeuknam Kwon; Munish Chauhan; Jin Keun Seo; Rosalind Sadleir
Journal:  Phys Med Biol       Date:  2020-11-17       Impact factor: 3.609

8.  Ex vivo and in silico feasibility study of monitoring electric field distribution in tissue during electroporation based treatments.

Authors:  Matej Kranjc; Franci Bajd; Igor Sersa; Eung Je Woo; Damijan Miklavcic
Journal:  PLoS One       Date:  2012-09-20       Impact factor: 3.240

9.  Predicting irreversible electroporation-induced tissue damage by means of magnetic resonance electrical impedance tomography.

Authors:  Matej Kranjc; Simona Kranjc; Franci Bajd; Gregor Serša; Igor Serša; Damijan Miklavčič
Journal:  Sci Rep       Date:  2017-09-04       Impact factor: 4.379

10.  Noninvasive measurement of conductivity anisotropy at larmor frequency using MRI.

Authors:  Joonsung Lee; Yizhuang Song; Narae Choi; Sungmin Cho; Jin Keun Seo; Dong-Hyun Kim
Journal:  Comput Math Methods Med       Date:  2013-03-11       Impact factor: 2.238

  10 in total

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