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Comparing and improving techniques for conductivity image reconstruction in MIT : A simulation study
Author(s) -
Yazdanian Hassan,
Jafari Reza
Publication year - 2020
Publication title -
international journal of numerical modelling: electronic networks, devices and fields
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.249
H-Index - 30
eISSN - 1099-1204
pISSN - 0894-3370
DOI - 10.1002/jnm.2797
Subject(s) - conductivity , iterative reconstruction , voltage , contrast (vision) , materials science , image (mathematics) , computer science , physics , artificial intelligence , quantum mechanics
This article focuses on comparison and improvements of techniques for conductivity image reconstruction in magnetic induction tomography (MIT). MIT imaging modality is a noncontact, portable, and inexpensive tool. In previous studies, generally, the real part (in‐phase component) and the imaginary part (quadrature component) of the induced voltages have been used in low‐ and high‐contrast conductivity imaging, respectively. However, techniques for conductivity image reconstruction in the middle‐contrast conductivity have not been well‐established in the MIT literature. In this work, the necessity of using both the real and imaginary parts of the induced voltages in MIT is described, and a technique which uses both the real and imaginary parts of the induced voltages for conductivity image reconstruction is presented. This technique includes conductivity image reconstruction in the middle range of conductivity. Results show the efficiency of the proposed technique compared to the previous technique especially in the middle‐contrast conductivity applications and in imaging regions with multitarget objectives with vastly different conductivity values.