Literature DB >> 21229327

Numerical modeling of magnetic induction tomography using the impedance method.

Airton Ramos1, Julia G B Wolff.   

Abstract

This article discusses the impedance method in the forward calculation in magnetic induction tomography (MIT). Magnetic field and eddy current distributions were obtained numerically for a sphere in the field of a coil and were compared with an analytical model. Additionally, numerical and experimental results for phase sensitivity in MIT were obtained and compared for a cylindrical object in a planar array of sensors. The results showed that the impedance method provides results that agree very well with reality in the frequency range from 100 kHz to 20 MHz and for low conductivity objects (10 S/m or less). This opens the possibility of using this numerical approach in image reconstruction in MIT.

Mesh:

Year:  2011        PMID: 21229327     DOI: 10.1007/s11517-011-0733-3

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  16 in total

1.  Electrical conductivity imaging via contactless measurements.

Authors:  N G Gençer; M N Tek
Journal:  IEEE Trans Med Imaging       Date:  1999-07       Impact factor: 10.048

2.  Computation of electric and magnetic stimulation in human head using the 3-D impedance method.

Authors:  Mohammad Nadeem; Thorleif Thorlin; Om P Gandhi; Mikael Persson
Journal:  IEEE Trans Biomed Eng       Date:  2003-07       Impact factor: 4.538

3.  Design and performance of a planar-array MIT system with normal sensor alignment.

Authors:  C H Igney; S Watson; R J Williams; H Griffiths; O Dössel
Journal:  Physiol Meas       Date:  2005-03-29       Impact factor: 2.833

4.  Simulation study of detecting conductivity of brain tissues with magnetic induction based on FDTD.

Authors:  Qin Ming-Xin; Jiao Li-Cheng; Wang Hai-Bing; Lv Hua
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2005

5.  A measurement system and image reconstruction in magnetic induction tomography.

Authors:  M Vauhkonen; M Hamsch; C H Igney
Journal:  Physiol Meas       Date:  2008-06-11       Impact factor: 2.833

Review 6.  The dielectric properties of biological tissues: I. Literature survey.

Authors:  C Gabriel; S Gabriel; E Corthout
Journal:  Phys Med Biol       Date:  1996-11       Impact factor: 3.609

7.  A 3-D impedance method to calculate power deposition in biological bodies subjected to time varying magnetic fields.

Authors:  N Orcutt; O P Gandhi
Journal:  IEEE Trans Biomed Eng       Date:  1988-08       Impact factor: 4.538

Review 8.  A review of electrical impedance techniques for breast cancer detection.

Authors:  Y Zou; Z Guo
Journal:  Med Eng Phys       Date:  2003-03       Impact factor: 2.242

9.  Forward modelling of magnetic induction tomography: a sensitivity study for detecting haemorrhagic cerebral stroke.

Authors:  M Zolgharni; P D Ledger; H Griffiths
Journal:  Med Biol Eng Comput       Date:  2009-10-16       Impact factor: 2.602

10.  Imaging cerebral haemorrhage with magnetic induction tomography: numerical modelling.

Authors:  M Zolgharni; P D Ledger; D W Armitage; D S Holder; H Griffiths
Journal:  Physiol Meas       Date:  2009-06-02       Impact factor: 2.833

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