DocumentCode :
1878544
Title :
Imaging Internal Structure with Electromagnetic Induction Tomography
Author :
Ma, X. ; Peyton, A.J. ; Soleimani, M. ; Lionheart, W.R.B.
Author_Institution :
Sch. of Electr. & Electron. Eng., Manchester Univ.
fYear :
2006
fDate :
24-27 April 2006
Firstpage :
299
Lastpage :
303
Abstract :
A particularly difficult case in electromagnetic induction tomography (EMT) is to image internal structure at the centre of the object space when the material at the outer regions is conductive. This is because the outer material acts as an electromagnetic screen, which partially excludes the magnetic field from the interior space and hence reduces the sensitivity at the centre. In this paper, we propose a methodology to image the conductivity distribution of an annular object when internal conductive objects are present. Finite element simulations were carried out to investigate how sensor coil outputs change with factors such as the size of internal object with regards to the external one. Linear and non-linear image reconstruction methods are applied to the tomographic data that are collected from a newly developed EMT system and image results are given in the paper
Keywords :
electromagnetic induction; finite element analysis; image reconstruction; tomography; EMT; conductivity distribution; electromagnetic induction tomography; electromagnetic screen; finite element simulations; imaging internal structure; internal conductive objects; linear image reconstruction; magnetic field; magnetic induction; nonlinear image reconstruction; sensor coil; tomography data; Coils; Conducting materials; Conductivity; Electromagnetic fields; Electromagnetic induction; Finite element methods; Magnetic fields; Magnetic materials; Magnetic sensors; Tomography; electromagnetic (EM); image reconstruction; magnetic induction; tomography;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Instrumentation and Measurement Technology Conference, 2006. IMTC 2006. Proceedings of the IEEE
Conference_Location :
Sorrento
ISSN :
1091-5281
Print_ISBN :
0-7803-9359-7
Electronic_ISBN :
1091-5281
Type :
conf
DOI :
10.1109/IMTC.2006.328431
Filename :
4124330
Link To Document :
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