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Kalman Algorithm Based Electrical Impedance Tomography Imaging

Author

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  • Md Rabiul Islam

    (Department of Electronics and Telecommunication Engineering, Bangabandhu Sheikh Mujibur Rahman Science & Technology University, Bangladesh)

Abstract

Electrical Impedance Tomography (EIT) is a non-invasive imaging technique that displays changes in conductivity within a body. This method finds application in biomedical and geology. EIT finds use in medical applications, as the different tissues of the body have different conductivity and dielectric constants. In this paper a phantom model is designed considering Finite Element Model (FEM). AC current of amplitude 1 mA and frequency 1 KHz is applied considering adjacent protocol with noise less and noisy cases. From the computed voltage data image is reconstructed using Kalman algorithm. For noisy case noise levels equal to Signal-to-Noise Ratio (SNR) 30 dB, 15 dB and 7 dB were considered. Kalman algorithm is studied for EIT image reconstruction in noise free and noisy case, in terms of shape, size, spatial location of the target object.

Suggested Citation

  • Md Rabiul Islam, 2019. "Kalman Algorithm Based Electrical Impedance Tomography Imaging," European Journal of Engineering and Technology Research, European Open Science, vol. 4(4), pages 52-55, April.
    • Handle: RePEc:epw:ejeng0:v:4:y:2019:i:4:id:61227
    DOI: 10.24018/ejeng.2019.4.4.1227
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