Abstract
Electrical resistance tomography (ERT) reconstructs the resistance/conductivity distribution in the sensitive field by measuring the boundary voltage of the field. In the traditional ERT adjacent excitation mode, the sensitivity coefficients amplitude of the central region of the field is low, which leads to the poor imaging resolution of the central region. In this chapter, the influence of the distribution of the sensitivity coefficients amplitude of ERT system on image reconstruction is analyzed. A new excitation mode is proposed, in which the inner electrode is added to the center of the field to improve the sensitivity amplitude of the central region and thus improve the quality of image reconstruction. Aiming at the problem of central artifact caused by internal electrode excitation, the mixed excitation mode and its corresponding image reconstruction algorithm are used to reduce it. The simulation results show that the new excitation mode and algorithm can effectively improve the resolution of field center image and the quality of reconstructed image.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Dickin, F., & Wang, M. (1996). Electrical resistance tomography for process applications. Measurement Science and Technology, 7, 247–260.
Kim, B. S., Khambampati, A. K., Kim, S., et al. (2015). Electrical resistance imaging of two-phase flow using direct Landweber method. Flow Measurement and Instrumentation, 41, 41–49.
Ye, J., Wu, M., Che, H., et al. (2016). Coupling Simulation for electrical resistance tomography. In IEEE International Conference on Imaging Systems & Techniques. IEEE.
Babaei, R., Bonakdarpour, B., & Ein-Mozaffari, F. (2015). The use of electrical resistance tomography for the characterization of gas holdup inside a bubble column bioreactor containing activated sludge. Chemical Engineering Journal, 268(3), 260–269.
Shao, Z., Wang, D., Wang, Y., et al. (2016). Electrical resistivity of coal-bearing rocks under high temperature and the detection of coal fires using electrical resistance tomography. Geophysical Journal International, 204(2), 1316–1331.
Andrade, R. (2011). Intervention of electrical resistance tomography (ERT) in resolving hydrological problems of a semi arid granite terrain of Southern India. Journal of the Geological Society of India, 78(4), 337–344.
Binley, A., Henrypoulter, S., & Shaw, B. (1996). Examination of solute transport in an undisturbed soil column using electrical resistance tomography. Water Resources Research, 32(4), 763–769.
Lehr, J. (1972). A vector derivation useful in impedance plethysmographic field calculations. IEEE Transactions on Biomedical Engineering, 8(4A), 156–157.
Liu, J. W., & Dong, F. D. F. (2004). Electrical resistance tomography based on the single drive electrode method. In International Conference on Machine Learning & Cybernetics. IEEE.
Ren, S., Dong, F., & Tan, C. (2011). High-precision electrical resistance tomography with external and internal electrode arrays. In Instrumentation & Measurement Technology Conference. IEEE.
Murai, T., & Kagawa, Y. (1985). Electrical impedance computed tomography based on a finite element model. IEEE Transactions on Bio-Medical Engineering, 32(3), 177–184.
Kotre, C. J. (1989). A sensitivity coefficient method for the reconstruction of electrical impedance tomograms. Clinical Physics and Physiological Measurement, 10(3), 275–281.
Yang, W. Q., & Peng, L. (2003). Image reconstruction algorithms for electrical capacitance tomography. Measurement Science & Technology, 14, R1–R13.
Wang, H.-x., & Cao, Z. (2006). Nonlinearity of “soft” field in electrical impedance tomography system—Based on statistical methods. Journal of Tian** University, 39(5), 543–547.
Yang, W. Q., Spink, D. M., York, T. A., et al. (1999). An image-reconstruction algorithm based on Landweber’s iteration method for electrical-capacitance tomography. Measurement Science and Technology, 10(11), 1065–1069.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Chen, Y., Han, Y., **g, B. (2019). Electrical Resistance Tomography Based on Internal Electrode Excitation. In: Quinto, E., Ida, N., Jiang, M., Louis, A. (eds) The Proceedings of the International Conference on Sensing and Imaging, 2018. ICSI 2018. Lecture Notes in Electrical Engineering, vol 606. Springer, Cham. https://doi.org/10.1007/978-3-030-30825-4_2
Download citation
DOI: https://doi.org/10.1007/978-3-030-30825-4_2
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-30824-7
Online ISBN: 978-3-030-30825-4
eBook Packages: Physics and AstronomyPhysics and Astronomy (R0)