Electrical Impedance Tomography Image Reconstruction: Impact of Hardware Noise and Errors

2019 
Electrical Impedance Tomography is a hardware efficient alternative medical imaging method, where low AC-currents are applied to a biological medium through an electrode cluster. However, the signal acquisition can be very sensitive to current input or voltage output which furtherly produces noise and thus errors. In this work, we examine the impact of the aforementioned which occurs in the electronic components of the system, i.e. short as well as open circuitry in electrode channels. In addition, the results of input signal SNR are also discussed. Modelling of the system is performed using LTspice and afterwards the output signals are processed via MATLAB, in order to identify and reduce noise levels.
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