Abstract

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Title:: Quality evaluation of magnetic induction imaging noise suppression based on filtered back-projection algorithm

Author(s):: LUO Xia; LUO Haijun; PAN Haitao; WEN Kaixu; LIAO Yong; FAN Siqiang; Chongqing Key Laboratory of Photo-Electric Functional Materials/College of Physics and Electronic Engineering, Chongqing Normal University, Chongqing 401331, China

Keywords:: ; Keywords: magnetic induction tomography; filtered back-projection; biological tissue; noise suppression; signal-to-noise ratio

Abstract:: Abstract: Magnetic induction imaging is a non-contact electrical impedance imaging technology that reconstructs the distribution of electrical conductivity of biological tissues by the principle of electromagnetic induction. Using a set of Helmholtz coils as the excitation source, a uniformly distributed excitation magnetic field can be produced in the imaging region, thus simplifying the imaging algorithm. The system model is made up of a background object, a foreign object, a Helmholtz coil and 20 detection coils. The filtered back-projection algorithm is utilized to reconstruct the image and the image reconstructions of the single target and dual targets are studied. Moreover, the performance of algorithm in noise suppression can be evaluated by analyzing 3 parameters, namely correlation coefficient, normalized mean square distance and normalized absolute distance. The results showed that when the signal-to-noise ratio was larger than or equal to 30, the imaging results of signal target and dual targets are close to those without noise.