Literature DB >> 12943280

Reconstruction of conductivity and current density images using only one component of magnetic field measurements.

Jin Keun Seo1, Jeong-Rock Yoon, Eung Je Woo, Ohin Kwon.   

Abstract

Magnetic resonance current density imaging (MRCDI) is to provide current density images of a subject using a magnetic resonance imaging (MRI) scanner with a current injection apparatus. The injection current generates a magnetic field that we can measure from MR phase images. We obtain internal current density images from the measured magnetic flux densities via Ampere's law. However, we must rotate the subject to acquire all of the three components of the induced magnetic flux density. This subject rotation is impractical in clinical MRI scanners when the subject is a human body. In this paper, we propose a way to eliminate the requirement of subject rotation by careful mathematical analysis of the MRCDI problem. In our new MRCDI technique, we need to measure only one component of the induced magnetic flux density and reconstruct both cross-sectional conductivity and current density images without any subject rotation.

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Year:  2003        PMID: 12943280     DOI: 10.1109/TBME.2003.816080

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


  27 in total

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

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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.  Noninvasive electrical conductivity measurement by MRI: a test of its validity and the electrical conductivity characteristics of glioma.

Authors:  Khin Khin Tha; Ulrich Katscher; Shigeru Yamaguchi; Christian Stehning; Shunsuke Terasaka; Noriyuki Fujima; Kohsuke Kudo; Ken Kazumata; Toru Yamamoto; Marc Van Cauteren; Hiroki Shirato
Journal:  Eur Radiol       Date:  2017-07-11       Impact factor: 5.315

5.  Direct detection of neural activity in vitro using magnetic resonance electrical impedance tomography (MREIT).

Authors:  Rosalind J Sadleir; Fanrui Fu; Corey Falgas; Stephen Holland; May Boggess; Samuel C Grant; Eung Je Woo
Journal:  Neuroimage       Date:  2017-08-14       Impact factor: 6.556

6.  MREIT experiments with 200 µA injected currents: a feasibility study using two reconstruction algorithms, SMM and harmonic B(Z).

Authors:  V E Arpinar; M J Hamamura; E Degirmenci; L T Muftuler
Journal:  Phys Med Biol       Date:  2012-06-08       Impact factor: 3.609

7.  Multishot echo-planar MREIT for fast imaging of conductivity, current density, and electric field distributions.

Authors:  Munish Chauhan; Rohini Vidya Shankar; Neeta Ashok Kumar; Vikram D Kodibagkar; Rosalind Sadleir
Journal:  Magn Reson Med       Date:  2017-02-16       Impact factor: 4.668

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

9.  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

10.  Functional magnetic resonance electrical impedance tomography (fMREIT) sensitivity analysis using an active bidomain finite-element model of neural tissue.

Authors:  Rosalind J Sadleir; Fanrui Fu; Munish Chauhan
Journal:  Magn Reson Med       Date:  2018-05-16       Impact factor: 4.668

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