Literature DB >> 12066883

Magnetic resonance electrical impedance tomography (MREIT): simulation study of J-substitution algorithm.

Ohin Kwon1, Eung Je Woo, Jeong-Rock Yoon, Jin Keun Seo.   

Abstract

We developed a new image reconstruction algorithm for magnetic resonance electrical impedance tomography (MREIT). MREIT is a new EIT imaging technique integrated into magnetic resonance imaging (MRI) system. Based on the assumption that internal current density distribution is obtained using magnetic resonance imaging (MRI) technique, the new image reconstruction algorithm called J-substitution algorithm produces cross-sectional static images of resistivity (or conductivity) distributions. Computer simulations show that the spatial resolution of resistivity image is comparable to that of MRI. MREIT provides accurate high-resolution cross-sectional resistivity images making resistivity values of various human tissues available for many biomedical applications.

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Year:  2002        PMID: 12066883     DOI: 10.1109/10.979355

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  41 in total

1.  Imaging biological tissues with electrical conductivity contrast below 1 S m by means of magnetoacoustic tomography with magnetic induction.

Authors:  Gang Hu; Xu Li; Bin He
Journal:  Appl Phys Lett       Date:  2010-09-10       Impact factor: 3.791

2.  Magnetoacoustic tomography with magnetic induction (MAT-MI).

Authors:  Yuan Xu; Bin He
Journal:  Phys Med Biol       Date:  2005-10-19       Impact factor: 3.609

3.  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

4.  B-scan based acoustic source reconstruction for magnetoacoustic tomography with magnetic induction (MAT-MI).

Authors:  Leo Mariappan; Xu Li; Bin He
Journal:  IEEE Trans Biomed Eng       Date:  2010-11-22       Impact factor: 4.538

5.  A Phantom Study of Magnetoacoustic Tomography with Magnetic Induction (MAT-MI) for Imaging Electrical Impedance of Biological Tissue.

Authors:  Xu Li; Yuan Xu; Bin He
Journal:  J Appl Phys       Date:  2006-03-29       Impact factor: 2.546

6.  Magnetoacoustic tomography with magnetic induction: a rigorous theory.

Authors:  Qingyu Ma; Bin He
Journal:  IEEE Trans Biomed Eng       Date:  2008-02       Impact factor: 4.538

7.  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

8.  Magnetic-resonance-based measurement of electromagnetic fields and conductivity in vivo using single current administration-A machine learning approach.

Authors:  Saurav Z K Sajib; Munish Chauhan; Oh In Kwon; Rosalind J Sadleir
Journal:  PLoS One       Date:  2021-07-22       Impact factor: 3.240

Review 9.  Magnetic-resonance-based electrical properties tomography: a review.

Authors:  Xiaotong Zhang; Jiaen Liu; Bin He
Journal:  IEEE Rev Biomed Eng       Date:  2014

10.  Evaluation of magnetohydrodynamic effects in magnetic resonance electrical impedance tomography at ultra-high magnetic fields.

Authors:  Atul S Minhas; Munish Chauhan; Fanrui Fu; Rosalind Sadleir
Journal:  Magn Reson Med       Date:  2018-11-19       Impact factor: 4.668

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