The Influence of Multi-frequency Current Injection in Image Reconstruction for Two-Dimensional High-Speed Electrical Impedance Tomography (EIT)
Abstract
The image reconstruction for two-dimensional high-speed Electrical Impedance Tomography (EIT) has been successfully studied with multi-frequency current injection. The aim of this study is to get the best image reconstruction under the influence of multi-frequency current injection of this EIT system. In this method, we used current injection at 1 mA with varies of frequency in the range 10 to 50 kHz injected at the practical phantoms with 16 electrodes. Polyvinyl chloride (PVC) cylinder was put in the practical phantom as the anomaly. Then, The boundary voltage of the practical phantom was measured by the voltage measurement circuit. After that, it processed in the computer with Gauss-Newton Algorithm to got image reconstruction. The result showed that the best image reconstruction was achieved at 10 kHz of frequency current injection. The best image reconstruction had more accuracy of shape, position and electrical properties of an anomaly in boundary phantom than another image reconstruction result.
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M. Khalighi, B. V. Vahdat, M. Mortazavi, and M. Mikaeili, “Design and implementation of precise hardware for Electrical Impedance Tomography (EIT),” Trans. Electr. Eng., vol. 38, no. E1, pp. 1–20, 2014.
P. O. Gaggero and P. Thomann, “Miniaturization and distinguishability limits of electrical impedence tomography for biomedical application,” Université de Neuchâtel, 2011.
A. B. S. Umbu and E. Endarko, “The design of voltage controlled current source (VCCS) for single frequency electrical impedance tomography (EIT),” in 2017 International Seminar on Sensors, Instrumentation, Measurement and Metrology (ISSIMM), 2017, pp. 30–36.
T. Rymarczyk and K. Szulc, “Reconstruction of conductivity distribution in electrical impedance tomography by topological derivative,” in 2017 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering (ISEF) Book of Abstracts, 2017, pp. 1–2.
Y. Zhang and C. Harrison, “Tomo: wearable, low-cost, electrical impedance tomography for hand gesture recognition,” in Proceedings of the 28th Annual ACM Symposium on User Interface Software & Technology - UIST ’15, 2015, pp. 167–173.
A. J. Puspitasari and E. Endarko, “Study of precision constant current sources with resistor load and a cole-cole load for multi-frequency in electrical impedance tomography,” in 2016 International Seminar on Sensors, Instrumentation, Measurement and Metrology (ISSIMM), 2016, pp. 12–17.
J. Malmivuo and R. Plonsey, Bioelectromagnetism : principles and applications of bioelectric and biomagnetic fields. New York: Oxford University Press, 1995.
V. Sarode, P. M. Chimurkar, and A. N Cheeran, “Electrical impedance tomography using EIDORS in a closed phantom,” Int. J. Comput. Appl., 2012.
M. Farha and E. Endarko, “Combined algorithm of total variation and Gauss-newton for image reconstruction in two-dimensional Electrical Impedance Tomography (EIT),” in 2017 International Seminar on Sensors, Instrumentation, Measurement and Metrology (ISSIMM), 2017, pp. 37–41.
DOI: http://dx.doi.org/10.12962/j23378557.v5i1.a5019
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