Literature DB >> 19556689

Induced current magnetic resonance electrical impedance tomography of brain tissues based on the J-substitution algorithm: a simulation study.

Yang Liu1, Shanan Zhu, Bin He.   

Abstract

We have investigated induced current magnetic resonance electrical impedance tomography (IC-MREIT) by means of computer simulations. The J-substitution algorithm was implemented to solve the IC-MREIT reconstruction problem. By providing physical insight into the charge accumulating on the interfaces, the convergence characteristics of the reconstruction algorithm were analyzed. The simulation results conducted on different objects were well correlated with the proposed theoretical analysis. The feasibility of IC-MREIT to reconstruct the conductivity distribution of head-brain tissues was also examined in computer simulations using a multi-compartment realistic head model. The present simulation results suggest that IC-MREIT may have the potential to become a useful conductivity imaging technique.

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Year:  2009        PMID: 19556689      PMCID: PMC2810423          DOI: 10.1088/0031-9155/54/14/012

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


  29 in total

1.  Uniqueness and reconstruction in magnetic resonance-electrical impedance tomography (MR-EIT).

Authors:  Y Ziya Ider; Serkan Onart; William R B Lionheart
Journal:  Physiol Meas       Date:  2003-05       Impact factor: 2.833

2.  Algebraic reconstruction for 3D magnetic resonance-electrical impedance tomography (MREIT) using one component of magnetic flux density.

Authors:  Y Ziya Ider; Serkan Onart
Journal:  Physiol Meas       Date:  2004-02       Impact factor: 2.833

3.  Estimation of electrical conductivity distribution within the human head from magnetic flux density measurement.

Authors:  Nuo Gao; S A Zhu; Bin He
Journal:  Phys Med Biol       Date:  2005-05-18       Impact factor: 3.609

4.  Induced current magnetic resonance-electrical impedance tomography.

Authors:  Levent Ozparlak; Y Ziya Ider
Journal:  Physiol Meas       Date:  2005-03-29       Impact factor: 2.833

5.  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

6.  Conductivity imaging with low level current injection using transversal J-substitution algorithm in MREIT.

Authors:  Hyun Soo Nam; Byung Il Lee; Jongsung Choi; Chunjae Park; Oh In Kwon
Journal:  Phys Med Biol       Date:  2007-10-30       Impact factor: 3.609

7.  Conductivity imaging of canine brain using a 3 T MREIT system: postmortem experiments.

Authors:  Hyung Joong Kim; Byung Il Lee; Young Cho; Young Tae Kim; Byeong Teck Kang; Hee Myung Park; Soo Yeol Lee; Jin Keun Seo; Eung Je Woo
Journal:  Physiol Meas       Date:  2007-10-05       Impact factor: 2.833

8.  Electrical impedance tomography: induced-current imaging achieved with a multiple coil system.

Authors:  N G Gençer; Y Ziya; S J Williamson
Journal:  IEEE Trans Biomed Eng       Date:  1996-02       Impact factor: 4.538

9.  Estimation of in vivo brain-to-skull conductivity ratio in humans.

Authors:  Yingchun Zhang; Wim van Drongelen; Bin He
Journal:  Appl Phys Lett       Date:  2006       Impact factor: 3.791

10.  Imaging of cortical spreading depression by EIT: implications for localization of epileptic foci.

Authors:  K Boone; A M Lewis; D S Holder
Journal:  Physiol Meas       Date:  1994-05       Impact factor: 2.833

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  2 in total

Review 1.  A review of anisotropic conductivity models of brain white matter based on diffusion tensor imaging.

Authors:  Zhanxiong Wu; Yang Liu; Ming Hong; Xiaohui Yu
Journal:  Med Biol Eng Comput       Date:  2018-06-01       Impact factor: 2.602

2.  A feasibility study of magnetic resonance electrical impedance tomography for prostate cancer detection.

Authors:  Yang Liu; Yingchun Zhang
Journal:  Physiol Meas       Date:  2014-03-12       Impact factor: 2.833

  2 in total

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