Literature DB >> 17664645

Residual capacitive coupling and the measurement of permittivity in magnetic induction tomography.

H Griffiths1, W Gough, S Watson, R J Williams.   

Abstract

In an ideal magnetic induction tomography (MIT) system, the coupling between the coils and the sample is entirely by the magnetic field. In a practical system, unwanted electric-field (capacitive) coupling can also exist and cause large errors in the MIT measurements unless the hardware is designed carefully. A series of tests was carried out to assess the magnitude of capacitive coupling present in a 10 MHz MIT system designed for biomedical use and other applications involving low-conductivity samples (<or=10 S m(-1)). The tests indicated that, even with the individual coils left unscreened, the signal contamination from capacitive coupling was very small compared with the true MIT signal. Because the contamination was small, it was demonstrated possible to derive the permittivity of the sample from the real part of the MIT signal. This was shown to work well when the conductivity of the sample was less than about 0.5 S m(-1), but for higher conductivities, when the skin depth became comparable with the width of the sample, the commonly used theoretical expression for the MIT signal began to break down. This implies that the measurement of permittivity (and permeability) in real biological tissues (which have conductivities of up to 2 S m(-1)) will require a more detailed derivation taking into account both the real and imaginary parts of the signals.

Mesh:

Year:  2007        PMID: 17664645     DOI: 10.1088/0967-3334/28/7/S23

Source DB:  PubMed          Journal:  Physiol Meas        ISSN: 0967-3334            Impact factor:   2.833


  7 in total

1.  Research on the measurement of intracranial hemorrhage in rabbits by a parallel-plate capacitor.

Authors:  Zelin Bai; Haocheng Li; Jingbo Chen; Wei Zhuang; Gen Li; Mingsheng Chen; Jia Xu; Shuanglin Zhao; Yuening Liu; Jian Sun; Feng Wang; Lin Xu; Mingxin Qin; Gui Jin
Journal:  PeerJ       Date:  2021-01-05       Impact factor: 2.984

2.  A noninvasive and comprehensive method for continuous assessment of cerebral blood flow pulsation based on magnetic induction phase shift.

Authors:  Lingxi Zeng; Gen Li; Maoting Zhang; Rui Zhu; Jingbo Chen; Mingyan Li; Shengtong Yin; Zelin Bai; Wei Zhuang; Jian Sun
Journal:  PeerJ       Date:  2022-02-23       Impact factor: 2.984

3.  Effectiveness of Electrostatic Shielding in High-Frequency Electromagnetic Induction Soil Sensing.

Authors:  Dorijan Špikić; Matija Švraka; Darko Vasić
Journal:  Sensors (Basel)       Date:  2022-04-14       Impact factor: 3.576

Review 4.  Advancements in transmitters and sensors for biological tissue imaging in magnetic induction tomography.

Authors:  Zulkarnay Zakaria; Ruzairi Abdul Rahim; Muhammad Saiful Badri Mansor; Sazali Yaacob; Nor Muzakkir Nor Ayub; Siti Zarina Mohd Muji; Mohd Hafiz Fazalul Rahiman; Syed Mustafa Kamal Syed Aman
Journal:  Sensors (Basel)       Date:  2012-05-29       Impact factor: 3.576

5.  Magnetic Induction Spectroscopy for Permeability Imaging.

Authors:  Lu Ma; Manuchehr Soleimani
Journal:  Sci Rep       Date:  2018-05-04       Impact factor: 4.379

6.  Twenty-four-hour real-time continuous monitoring of acute focal cerebral ischemia in rabbits based on magnetic inductive phase shift.

Authors:  Shuang-Lin Zhao; Gui Jin; Ze-Lin Bai; Jing-Bo Chen; Meng-Wei Li; Gen Li; Wei Zhuang; Yue-Ning Liu; Ming-Xin Qin
Journal:  Biomed Eng Online       Date:  2020-11-11       Impact factor: 2.819

7.  An amplitude-based characteristic parameter extraction algorithm for cerebral edema detection based on electromagnetic induction.

Authors:  Jingbo Chen; Gen Li; Huayou Liang; Shuanglin Zhao; Jian Sun; Mingxin Qin
Journal:  Biomed Eng Online       Date:  2021-08-03       Impact factor: 2.819

  7 in total

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