DocumentCode
3358207
Title
Detection of sub-surface objects by electrical impedance tomography
Author
Kotre, C.J.
Author_Institution
Regional Med. Phys. Dept., Newcastle Gen. Hospital, UK
fYear
1996
fDate
7-9 Oct 1996
Firstpage
67
Lastpage
71
Abstract
A technique called INSEIT (Imaging Near the Surface by Electrical Impedance Tomography) has been developed for potential applications in the field of medical imaging. The technique allows changes in electrical impedance to be imaged in sub-surface planes below an array of surface electrodes. Although the adaptation of this approach to the task of detecting buried land mines involves some obvious practical difficulties with electrode contact, the method might find application in situations where large electrical impedance contrasts are present. The image reconstruction mathematics used for INSEIT and for general cross-sectional electrical impedance tomography has been shown to be suitable for industrial imaging using capacitive and inductive sensors, so alternative sensing methods based on the same image reconstruction strategy are a possibility. The viability of INSEIT in the practical situation of unknown sub-surface features and an imperfectly flat surface, and the overall performance of the approach in locating buried objects is examined using software simulations and experimental data sets
Keywords
weapons; INSEIT; Imaging Near the Surface by Electrical Impedance Tomography; cross-sectional electrical impedance tomography; electrical impedance changes imaging; electrical impedance tomography; image reconstruction mathematics; imperfectly flat surface; software simulations; sub-surface objects detection; sub-surface planes; surface electrodes; unknown sub-surface features;
fLanguage
English
Publisher
iet
Conference_Titel
The Detection of Abandoned Land Mines: A Humanitarian Imperative Seeking a Technical Solution, EUREL International Conference on (Conf. Publ. No. 431)
Conference_Location
Edinburgh
ISSN
0537-9989
Print_ISBN
0-85296-669-5
Type
conf
DOI
10.1049/cp:19961081
Filename
646374
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