Derivative Method Peak Sharpening Algorithm Improves Image Resolution of Magnetic Induction Tomography

LUO Haijun; LIAO Yong; PAN Haitao; WEN Kaixu

doi:10.11999/JEIT171102

Volume 40 Issue 8

Aug. 2018

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Article Navigation > Journal of Electronics & Information Technology > 2018 > 40(8): 1847-1852

LUO Haijun, LIAO Yong, PAN Haitao, WEN Kaixu. Derivative Method Peak Sharpening Algorithm Improves Image Resolution of Magnetic Induction Tomography[J]. Journal of Electronics & Information Technology, 2018, 40(8): 1847-1852. doi: 10.11999/JEIT171102

Citation:

LUO Haijun, LIAO Yong, PAN Haitao, WEN Kaixu. Derivative Method Peak Sharpening Algorithm Improves Image Resolution of Magnetic Induction Tomography[J]. Journal of Electronics & Information Technology, 2018, 40(8): 1847-1852. doi: 10.11999/JEIT171102

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Derivative Method Peak Sharpening Algorithm Improves Image Resolution of Magnetic Induction Tomography

doi: 10.11999/JEIT171102

LUO Haijun^{*廖勇潘海涛温开旭},
LIAO Yong,
PAN Haitao,
WEN Kaixu

Funds:

The National Natural Science Foundation of China (51507023), The Chongqing Research Program of Basic Research and Frontier Technology (CSTC2016JCYJA0920), The Scientific and Technological Research Program of Chongqing Municipal Education Commission (KJ1703063)

Received Date: 2017-11-24
Rev Recd Date: 2018-04-16
Publish Date: 2018-08-19

Abstract

Abstract

Magnetic Induction Tomography (MIT) is a contactless Electrical Impedance Tomography (EIT) technique to reconstruct the conductivity distribution of biological tissue using the principle of electromagnetic induction. In this paper, a rotating magnetic induction imaging system is constructed by using Helmholtz coil and 20 detection coils, with filtered back projection algorithm. The single target and double target detection coil measurement data are processed by the two order and four order derivative peak sharpening algorithm. The measurement data before and after processing of the reconstructed image are compared by three objective parameters. The results show that the magnetic induction imaging derivative method can effectively increase the peak sharpening image quality.
- Magnetic Induction Tomography (MIT),
- Filtered back projection algorithm,
- Image reconstruction,
- Peak sharpening

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References(18)

References

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