Literature DB >> 22684125

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

V E Arpinar1, M J Hamamura, E Degirmenci, L T Muftuler.   

Abstract

Magnetic resonance electrical impedance tomography (MREIT) is a technique that produces images of conductivity in tissues and phantoms. In this technique, electrical currents are applied to an object and the resulting magnetic flux density is measured using magnetic resonance imaging (MRI) and the conductivity distribution is reconstructed using these MRI data. Currently, the technique is used in research environments, primarily studying phantoms and animals. In order to translate MREIT to clinical applications, strict safety standards need to be established, especially for safe current limits. However, there are currently no standards for safe current limits specific to MREIT. Until such standards are established, human MREIT applications need to conform to existing electrical safety standards in medical instrumentation, such as IEC601. This protocol limits patient auxiliary currents to 100 µA for low frequencies. However, published MREIT studies have utilized currents 10-400 times larger than this limit, bringing into question whether the clinical applications of MREIT are attainable under current standards. In this study, we investigated the feasibility of MREIT to accurately reconstruct the relative conductivity of a simple agarose phantom using 200 µA total injected current and tested the performance of two MREIT reconstruction algorithms. These reconstruction algorithms used are the iterative sensitivity matrix method (SMM) by Ider and Birgul (1998 Elektrik 6 215-25) with Tikhonov regularization and the harmonic B(Z) proposed by Oh et al (2003 Magn. Reason. Med. 50 875-8). The reconstruction techniques were tested at both 200 µA and 5 mA injected currents to investigate their noise sensitivity at low and high current conditions. It should be noted that 200 µA total injected current into a cylindrical phantom generates only 14.7 µA current in imaging slice. Similarly, 5 mA total injected current results in 367 µA in imaging slice. Total acquisition time for 200 µA and 5 mA experiments was about 1 h and 8.5 min, respectively. The results demonstrate that conductivity imaging is possible at low currents using the suggested imaging parameters and reconstructing the images using iterative SMM with Tikhonov regularization, which appears to be more tolerant to noisy data than harmonic B(Z).

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Year:  2012        PMID: 22684125      PMCID: PMC3381422          DOI: 10.1088/0031-9155/57/13/4245

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


  36 in total

1.  Generalized optimal current patterns and electrical safety in EIT.

Authors:  W R Lionheart; J Kaipio; C N McLeod
Journal:  Physiol Meas       Date:  2001-02       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.  Induced current magnetic resonance-electrical impedance tomography.

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

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

Authors:  Rosalind Sadleir; Samuel Grant; Sung Uk Zhang; Suk Hoon Oh; Byung Il Lee; Eung Je Woo
Journal:  Physiol Meas       Date:  2006-04-24       Impact factor: 2.833

5.  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

6.  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

7.  Measurement of nonuniform current density by magnetic resonance.

Authors:  G C Scott; M G Joy; R L Armstrong; R M Henkelman
Journal:  IEEE Trans Med Imaging       Date:  1991       Impact factor: 10.048

8.  Non-iterative conductivity reconstruction algorithm using projected current density in MREIT.

Authors:  Hyun Soo Nam; Chunjae Park; Oh In Kwon
Journal:  Phys Med Biol       Date:  2008-11-12       Impact factor: 3.609

9.  Magnetic resonance imaging of alternating electric currents.

Authors:  U Mikac; F Demsar; K Beravs; I Sersa
Journal:  Magn Reson Imaging       Date:  2001-07       Impact factor: 2.546

10.  The electrical conductivity of human cerebrospinal fluid at body temperature.

Authors:  S B Baumann; D R Wozny; S K Kelly; F M Meno
Journal:  IEEE Trans Biomed Eng       Date:  1997-03       Impact factor: 4.538

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  2 in total

1.  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

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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