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Son, Hungsun
Electromechanical Systems & Control Lab (ESCL)
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  • Magnetic field modeling

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Magnetic Induction Tomography Using Magnetic Dipole and Lumped Parameter Model

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dc.contributor.author Jeon, Jiyun ko
dc.contributor.author Chung, Wonmo ko
dc.contributor.author Son, Hungsun ko
dc.date.available 2019-09-02T09:04:05Z -
dc.date.created 2019-07-05 ko
dc.date.issued 2019-05 ko
dc.identifier.citation IEEE ACCESS, v.7, pp.70287 - 70295 ko
dc.identifier.issn 2169-3536 ko
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/27341 -
dc.description.abstract This paper presents a novel approach to analyze the magnetic field of magnetic induction tomography (MIT) using magnetic dipoles and a lumped parameter model. The MIT is a next-generation medical imaging technique that can identify the conductivity of target objects and construct images. It is noninvasive and can be compact in design and, thus, used as a portable instrument. However, it still exhibits inferior performance due to the nonlinearity, low signal-to-noise ratio of the magnetic field, and ill-posed inverse problem. To overcome such difficulties, the magnetic field of the MIT system is first modeled using magnetic dipoles and a lumped parameter. In particular, the extended distributed multipole (eDMP) model is proposed to analyze the system, using magnetic dipoles. The method can dramatically reduce the computational efforts and improve the ill-posed condition. Hence, the forward and inverse problems of MIT are solved using the eDMP method. The modeling method can be validated by comparing with experiments, varying the modeling parameters. Finally, the image can be reconstructed, and then, the position and shape of the object can be characterized to develop the MIT. ko
dc.language 영어 ko
dc.publisher IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC ko
dc.title Magnetic Induction Tomography Using Magnetic Dipole and Lumped Parameter Model ko
dc.type ARTICLE ko
dc.identifier.scopusid 2-s2.0-85067236347 ko
dc.identifier.wosid 000471719200001 ko
dc.type.rims ART ko
dc.identifier.doi 10.1109/ACCESS.2019.2919140 ko
dc.identifier.url https://ieeexplore.ieee.org/document/8723040 ko
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