DocumentCode
2512298
Title
Optimization design of sensors for maximum primary field cancellation in biomedical magnetic induction tomography
Author
Wang, Xu ; Lv, Yi ; Chen, Yuyan ; Yang, Dan
Author_Institution
Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
fYear
2011
fDate
23-25 May 2011
Firstpage
602
Lastpage
605
Abstract
Magnetic induction tomography (MIT) in vivo is to reconstruct conductivity of biomedical tissue by coil sensors which are imposed alternating current as well as detecting signals induced by tissue around the coils. In addition to the secondary signals due to tissue parameters, the resulting signals also include the primary field signals contributed by excitation coils which are approximately 5 times orders of the secondary signals. This not only reduces measurement precision, but also affects reconstruction image resolution. Optimization coil sensors can cancel primary field greatly at source. The paper presents coil sensors arrangement suitable for Biomedical magnetic induction tomography. Relative position between the excitation and detection coils was adjusted to reduce the primary signals in resulting signals. Simulation was performed from single-channel to multiple-channels system. The measurement results of all the systems suggest that the signal due to the primary field can be reduced individually at the operating frequency of 10Mz.
Keywords
biological tissues; image resolution; image sensors; medical image processing; optimisation; tomography; biomedical magnetic induction tomography; biomedical tissue; image resolution; maximum primary field cancellation; multiple-channels system; optimization coil sensors; optimization design; Coils; Conductivity; Image reconstruction; Magnetic resonance imaging; Magnetic sensors; Tomography; Coil sensors; Excitation coils; Magnetic induction tomography (MIT); Reconstruction; image resolution;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (CCDC), 2011 Chinese
Conference_Location
Mianyang
Print_ISBN
978-1-4244-8737-0
Type
conf
DOI
10.1109/CCDC.2011.5968252
Filename
5968252
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