Simulative investigation on sensing field and optimum configuration of electromagnetic tomography sensor array

Dong Liu; Feng Dong

doi:10.1117/12.806269

13 October 2008 Simulative investigation on sensing field and optimum configuration of electromagnetic tomography sensor array

Dong Liu, Feng Dong

Author Affiliations +

Proceedings Volume 7127, Seventh International Symposium on Instrumentation and Control Technology: Sensors and Instruments, Computer Simulation, and Artificial Intelligence; 71270J (2008) https://doi.org/10.1117/12.806269
Event: Seventh International Symposium on Instrumentation and Control Technology, 2008, Beijing, China

Abstract

Electromagnetic Tomography (EMT) is a non-contacting method for acquiring information of conductivity in physiological area. The interest conductivity range is from 0.1s/m to 2s/m. Electromagnetic Tomography model of sensor is set up in COMSOL and the relation between conductivity and measurement is analyzed and presented. The paper puts forward two evaluating standards for optimum design of sensors involving calculated sensitivity on conductivity and signal /carrier ratio (SCR). Simulation on sensing field reflects the linear relation between conductivity and in-phase or real parts of detective voltages, and simulation on sensors' configuration including sensor location and coils' diameter render the object of sensor optimum design become more valid Simulative data are analyzed elaborately and rationally and finally the author provides the reference range for EMT sensors' configuration. The optimum design of sensor array could acquire significant information of the object field and consequently is beneficial to the further image reconstruction of EMT.

Citation Download Citation

Dong Liu and Feng Dong "Simulative investigation on sensing field and optimum configuration of electromagnetic tomography sensor array", Proc. SPIE 7127, Seventh International Symposium on Instrumentation and Control Technology: Sensors and Instruments, Computer Simulation, and Artificial Intelligence, 71270J (13 October 2008); https://doi.org/10.1117/12.806269

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