Literature DB >> 17505085

Analysis of recoverable current from one component of magnetic flux density in MREIT and MRCDI.

Chunjae Park1, Byung Il Lee, Oh In Kwon.   

Abstract

Magnetic resonance current density imaging (MRCDI) provides a current density image by measuring the induced magnetic flux density within the subject with a magnetic resonance imaging (MRI) scanner. Magnetic resonance electrical impedance tomography (MREIT) has been focused on extracting some useful information of the current density and conductivity distribution in the subject Omega using measured B(z), one component of the magnetic flux density B. In this paper, we analyze the map Tau from current density vector field J to one component of magnetic flux density B(z) without any assumption on the conductivity. The map Tau provides an orthogonal decomposition J = J(P) + J(N) of the current J where J(N) belongs to the null space of the map Tau. We explicitly describe the projected current density J(P) from measured B(z). Based on the decomposition, we prove that B(z) data due to one injection current guarantee a unique determination of the isotropic conductivity under assumptions that the current is two-dimensional and the conductivity value on the surface is known. For a two-dimensional dominating current case, the projected current density J(P) provides a good approximation of the true current J without accumulating noise effects. Numerical simulations show that J(P) from measured B(z) is quite similar to the target J. Biological tissue phantom experiments compare J(P) with the reconstructed J via the reconstructed isotropic conductivity using the harmonic B(z) algorithm.

Mesh:

Year:  2007        PMID: 17505085     DOI: 10.1088/0031-9155/52/11/005

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  9 in total

1.  Imaging of current flow in the human head during transcranial electrical therapy.

Authors:  A K Kasinadhuni; A Indahlastari; M Chauhan; Michael Schär; T H Mareci; R J Sadleir
Journal:  Brain Stimul       Date:  2017-04-20       Impact factor: 8.955

2.  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

3.  Low-Frequency Conductivity Tensor Imaging of the Human Head In Vivo Using DT-MREIT: First Study.

Authors:  Munish Chauhan; Aprinda Indahlastari; Aditya K Kasinadhuni; Michael Schar; Thomas H Mareci; Rosalind J Sadleir
Journal:  IEEE Trans Med Imaging       Date:  2018-04       Impact factor: 10.048

4.  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

5.  Reconstruction of dual-frequency conductivity by optimization of phase map in MREIT and MREPT.

Authors:  Oh In Kwon; Woo Chul Jeong; Saurav Z K Sajib; Hyung Joong Kim; Eung Je Woo; Tong In Oh
Journal:  Biomed Eng Online       Date:  2014-03-08       Impact factor: 2.819

6.  Electric Current Detection Based on the MR Signal Magnitude Decay.

Authors:  Igor Serša
Journal:  Magn Reson Med       Date:  2022-05-05       Impact factor: 3.737

7.  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

8.  Anisotropic conductivity tensor imaging for transcranial direct current stimulation (tDCS) using magnetic resonance diffusion tensor imaging (MR-DTI).

Authors:  Mun Bae Lee; Hyung Joong Kim; Eung Je Woo; Oh In Kwon
Journal:  PLoS One       Date:  2018-05-15       Impact factor: 3.240

9.  Extracellular electrical conductivity property imaging by decomposition of high-frequency conductivity at Larmor-frequency using multi-b-value diffusion-weighted imaging.

Authors:  Mun Bae Lee; Geon-Ho Jahng; Hyung Joong Kim; Eung Je Woo; Oh In Kwon
Journal:  PLoS One       Date:  2020-04-08       Impact factor: 3.240

  9 in total

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