Open AccessSolution of the inverse problem of magnetic induction tomography based on Helmholtz coil
Author(s) -
Luo HaiJun,
Wen KaiXu,
Yong Liao,
Pan Haitao,
Jing Xin
Publication year - 2018
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2018.8286
Subject(s) - electromagnetic coil , helmholtz free energy , helmholtz coil , acoustics , position (finance) , excitation , physics , electromagnetic induction , noise (video) , inverse problem , nuclear magnetic resonance , computer science , mathematics , mathematical analysis , artificial intelligence , image (mathematics) , finance , quantum mechanics , economics
Magnetic induction tomography is a contactless technique that can measure conductivity distribution in biological tissues. This study proposed that Helmholtz coils as the excitation coils will generate a set of uniform excitation fields. The system model consists of a circular background area, a circular disturbance object, a set of Helmholtz coils, and eight magnetic detection coils. The diameter of the Helmholtz coil is 200 mm. The detection coil is a square, and its side length is 12 mm. The excitation current of the system is 30 mA, and the frequency is 10 MHz. This study discusses the reconstructed images of different locations, different volumes, different distances, and different electrical conductivities of perturbation bodies. The anti‐noise ability of different noise signals is also analysed. Finally, the image differences are evaluated through structural similarity index (SSIM). The results show that the algorithm can distinguish the position and volume characteristics of the target object. However, when the volume of the target object is low, the position will be deviated. This algorithm can distinguish the position of the two, which is far away from each other.