International Society for Industrial Process Tomography

Optimized Stimulation Patterns for Miniature Electrical Impedance Tomography with Planar Electrodes Array

Yu Wang, Jingyi Wu, Shangjie Ren^*, Feng Dong

Tianjin Key Laboratory of Process Measurement and Control

School of Electrical and Information Engineering, Tianjin University, Tianjin, P.R. China

^*Email: rensjie@tju.edu.cn

ABSTRACT

Electrical impedance tomography (EIT) is a non-invasive testing technology aiming at imaging the conductivity distribution within an observation domain. Due to its advantages of non-radiation, low-cost and high temporal resolution, EIT has received lots of attentions over the past two decades and owns many potential applications. Along with the development of science and technique, miniature and microscopic EIT have also gained many attentions in the related research fields. To improve the application of EIT on observing mini-scale objects, a planar electrodes array is designed for miniature EIT. Comparing with traditional EIT sensor structures, in which the electrodes are mounted at the periphery of one cross-section of the observation domain, the designed planar electrodes array is founded on a printed circuit board with 16 electrodes evenly distributed by 4×4 array. To achieve high quality image reconstruction results, a 3D model is developed for solving the forward and inverse problems on EIDORS platform. In order to test the influence of different stimulation patterns and determine the relative optimal pattern, five different data collection patterns are compared with simulation data. The different kinds of direct adjacent stimulation patterns and cyclic adjacent stimulation patterns are proposed to compare. The qualitative and quantitative results show that the results of the cyclic adjacent stimulation pattern (Mode 3) has high quality and stable reconstruction results for different cases compared with other tested modes of adjacent stimulation patterns.

Keywords Miniature electrical impedance tomography; Planar electrodes array; Sensor design; Stimulation patterns.

Industrial Application Biomedical Engineering