13 March 2017 Current source enhancements in Electrical Impedance Spectroscopy (EIS) to cancel unwanted capacitive effects
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Electrical Impedance Spectroscopy (EIS) has emerged as a non-invasive imaging modality to detect and quantify functional or electrical properties related to the suspicious tumors in cancer screening, diagnosis and prognosis assessment. A constraint on EIS systems is that the current excitation system suffers from the effects of stray capacitance having a major impact on the hardware subsystem as the EIS is an ill-posed inverse problem which depends on the noise level in EIS measured data and regularization parameter in the reconstruction algorithm. There is high complexity in the design of stable current sources, with stray capacitance reducing the output impedance and bandwidth of the system. To confront this, we have designed an EIS current source which eliminates the effect of stray capacitance and other impacts of the capacitance via a variable inductance. In this paper, we present a combination of operational CCII based on a generalized impedance converter (OCCII-GIC) with a current source. The aim of this study is to use the EIS system as a biomedical imaging technique, which is effective in the early detection of breast cancer. This article begins with the theoretical description of the EIS structure, current source topologies and proposes a current conveyor in application of a Gyrator to eliminate the current source limitations and its development followed by simulation and experimental results. We demonstrated that the new design could achieve a high output impedance over a 3MHz frequency bandwidth when compared to other types of GIC circuits combined with an improved Howland topology.
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Ali Zarafshani, Ali Zarafshani, Thomas Bach, Thomas Bach, Chris Chatwin, Chris Chatwin, Liangzhong Xiang, Liangzhong Xiang, Bin Zheng, Bin Zheng, "Current source enhancements in Electrical Impedance Spectroscopy (EIS) to cancel unwanted capacitive effects", Proc. SPIE 10137, Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging, 101371X (13 March 2017); doi: 10.1117/12.2254629; https://doi.org/10.1117/12.2254629

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