Detection of multicomponent distribution by electrical impedance spectroscopic tomography

Wang Yao; Tong Zhao; Xiayi Liu; Zhilong Wang; Yiduo Li; Li Miao

doi:10.1117/12.2589430

27 January 2021 Detection of multicomponent distribution by electrical impedance spectroscopic tomography

Wang Yao, Tong Zhao, Xiayi Liu, Zhilong Wang, Yiduo Li, Li Miao

Proceedings Volume 11720, Twelfth International Conference on Graphics and Image Processing (ICGIP 2020); 117200B (2021) https://doi.org/10.1117/12.2589430
Event: Twelfth International Conference on Graphics and Image Processing, 2020, Xi'an, China

Abstract

In this study, an EIST method based on improved electrical impedance tomography (EIT) is proposed to detect the distribution of the complex in the sensor. According to the impedance of different objects at different frequencies, each test object is imaged separately, and finally a clear and accurate image of the distribution of all components was combined by the algorithm. A simulation model for testing EIST is created. In the simulation result, the synthesis reconstruction image is combined by the distributions of different objects which are reconstructed at each frequency, the frequency of each object has the max difference of impedance to the medium. The simulation reveals EIST has the feasibility to detect the multicomponent in the sensor. In the end, the distribution of banana and carrot in water were detected by experiment, and the experimental results showed that this method could effectively detect the distribution of different substances.

Citation Download Citation

Wang Yao, Tong Zhao, Xiayi Liu, Zhilong Wang, Yiduo Li, and Li Miao "Detection of multicomponent distribution by electrical impedance spectroscopic tomography", Proc. SPIE 11720, Twelfth International Conference on Graphics and Image Processing (ICGIP 2020), 117200B (27 January 2021); https://doi.org/10.1117/12.2589430

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