A review of image reconstruction algorithms in electrical capacitance tomography

In order to learn the fundamental physics of complex multiphase flow systems using the electrical capacitance tomography (ECT) approach as an advanced measurement technique, we write a literature review of the ECT method from a perspective of the optimization algorithm design with domain constraints. In the first place we introduce the physical laws governing the ECT system. Then we will focus on optimization techniques in terms of various hardware settings, and signal processing algorithms that are capable to recover the cross sectional image of the internal characteristics of a specified region based on the measuring capacitances data of multi-electrode sensors. Among these approaches, we will investigate their advantages and limitations, and analyze the algorithms which have been examined through simulations or physical experiments.

[1]  Hugh McCann,et al.  A faster measurement strategy of electrical capacitance tomography using less sensing data , 2015, 2015 IEEE International Conference on Imaging Systems and Techniques (IST).

[2]  Wenjing Zhang,et al.  Simulation study of Electrical Capacitance Tomography , 2011, 2011 Second International Conference on Mechanic Automation and Control Engineering.

[4]  Haigang Wang,et al.  Image Recovery for Electrical Capacitance Tomography Based on Low-Rank Decomposition , 2017, IEEE Transactions on Instrumentation and Measurement.

[5]  Brian S. Hoyle,et al.  Electrical capacitance tomography for flow imaging: system model for development of image reconstruction algorithms and design of primary sensors , 1992 .

[6]  Marc Teboulle,et al.  Fast Gradient-Based Algorithms for Constrained Total Variation Image Denoising and Deblurring Problems , 2009, IEEE Transactions on Image Processing.

[7]  Yi Li,et al.  Total variation image reconstruction for electrical capacitance tomography , 2012, 2012 IEEE International Conference on Imaging Systems and Techniques Proceedings.

[8]  Cong Ling,et al.  Golay meets Hadamard: Golay-paired Hadamard matrices for fast compressed sensing , 2012, 2012 IEEE Information Theory Workshop.

[9]  Shen Yue,et al.  Image Reconstruction Algorithm Based on Kalman Filter for Electrical Capacitance Tomography , 2014, 2014 Fourth International Conference on Instrumentation and Measurement, Computer, Communication and Control.

[10]  Wuqiang Yang,et al.  Application of electrical capacitance tomography in particulate process measurement – A review , 2014 .

[11]  Wuqiang Yang,et al.  An Electrical Capacitance Tomography Sensor With Variable Diameter , 2017, IEEE Sensors Journal.

[12]  Michael Elad,et al.  Optimally sparse representation in general (nonorthogonal) dictionaries via ℓ1 minimization , 2003, Proceedings of the National Academy of Sciences of the United States of America.

[13]  Waldemar Smolik Reconstruction of complex objects in electrical capacitance tomography , 2009, 2009 IEEE International Workshop on Imaging Systems and Techniques.

[14]  Hua Yan,et al.  Three-dimensional electrical capacitance tomography reconstruction by the Landweber iterative algorithm with fuzzy thresholding , 2014 .

[15]  Jing Lei,et al.  Dynamic inversion in electrical capacitance tomography using the ensemble Kalman filter , 2012 .

[16]  Wuqiang Yang,et al.  Hardware design of electrical capacitance tomography systems , 1996 .

[17]  Wael A. Deabes,et al.  Electrical capacitance tomography digital processing platform (ECT-DPU) , 2016, IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society.

[18]  Junfeng Yang,et al.  A New Alternating Minimization Algorithm for Total Variation Image Reconstruction , 2008, SIAM J. Imaging Sci..

[19]  Klaas Paul Pruessmann,et al.  A Fast Wavelet-Based Reconstruction Method for Magnetic Resonance Imaging , 2011, IEEE Transactions on Medical Imaging.

[20]  Lihui Peng,et al.  Image reconstruction algorithms for electrical capacitance tomography , 2003 .

[21]  Jiamin Ye,et al.  Evaluation of Effect of Number of Electrodes in ECT Sensors on Image Quality , 2012, IEEE Sensors Journal.

[22]  Wuqiang Yang,et al.  Image reconstruction by nonlinear Landweber iteration for complicated distributions , 2008 .

[23]  Wuqiang Yang,et al.  Excitation strategy for three-dimensional electrical capacitance tomography sensor , 2015, 2015 IEEE International Conference on Imaging Systems and Techniques (IST).

[24]  Wuqiang Yang,et al.  A High-Speed Digital Electrical Capacitance Tomography System Combining Digital Recursive Demodulation and Parallel Capacitance Measurement , 2017, IEEE Sensors Journal.

[25]  Shuang Cong,et al.  State of the art and prospects of structured sensing matrices in compressed sensing , 2015, Frontiers of Computer Science.

[26]  Lihui Peng,et al.  Data Pattern With ECT Sensor and Its Impact on Image Reconstruction , 2013, IEEE Sensors Journal.

[27]  Zhao Jinchuang,et al.  Development on 3D electrical capacitance tomography instrument , 2009, 2009 Chinese Control and Decision Conference.

[28]  Tomasz Dyakowski,et al.  Applications of electrical tomography for gas-solids and liquid-solids flows : a review , 2000 .

[29]  Ruzairi Abdul Rahim,et al.  Electrical capacitance tomography: a review on portable ECT system and hardware design , 2016 .

[30]  Daniel J. Holland,et al.  Fast and robust 3D electrical capacitance tomography , 2013 .

[31]  Oleg V. Michailovich,et al.  An Iterative Shrinkage Approach to Total-Variation Image Restoration , 2009, IEEE Transactions on Image Processing.

[32]  Image reconstruction method for electrical capacitance tomography based on C-support vector machine algorithm , 2011, 2011 International Conference on Electrical and Control Engineering.

[33]  Weifu Fang,et al.  A nonlinear image reconstruction algorithm for electrical capacitance tomography , 2004 .

[34]  Z. Zeeshan,et al.  Fast algorithm for image reconstruction in adaptive electrical capacitance tomography , 2016, 2016 IEEE SENSORS.

[35]  Manuchehr Soleimani,et al.  Nonlinear image reconstruction for electrical capacitance tomography using experimental data , 2005 .

[36]  Zhao Jin-chuang,et al.  Sensitivity Map Analysis of Adaptive Electrical Capacitance Volume Tomography Using Nonuniform Voltage Excitation Envelopes , 2017 .

[37]  Lihui Peng,et al.  Using Regularization Methods for Image Reconstruction of Electrical Capacitance Tomography , 2000 .

[38]  Yifan Wang,et al.  Structural comparison of electrical capacitance tomography sensor , 2017, 2017 29th Chinese Control And Decision Conference (CCDC).

[40]  Ø. Isaksen,et al.  A review of reconstruction techniques for capacitance tomography , 1996 .

[41]  Qussai Marashdeh,et al.  Advances in electrical capacitance tomography , 2006 .

[42]  Jinchuang Zhao,et al.  Sensitivity Map Analysis of Adaptive Electrical Capacitance Volume Tomography Using Nonuniform Voltage Excitation Envelopes , 2017, IEEE Sensors Journal.

[43]  R. Szabatin,et al.  Electric field simulation in electrical capacitance tomography , 2012, 2012 IEEE International Conference on Imaging Systems and Techniques Proceedings.

[44]  Cristian R. Rojas,et al.  Alternating Strategies Are Good For Low-Rank Matrix Reconstruction , 2014, ArXiv.

[45]  David L Donoho,et al.  Compressed sensing , 2006, IEEE Transactions on Information Theory.

[46]  Mahmoud Meribout,et al.  A New Parallel VLSI Architecture for Real-Time Electrical Capacitance Tomography , 2016, IEEE Transactions on Computers.

[47]  L. Rudin,et al.  Nonlinear total variation based noise removal algorithms , 1992 .

[48]  Marc Teboulle,et al.  A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems , 2009, SIAM J. Imaging Sci..

[49]  Kezhi Li,et al.  A Nonlinear Weighted Total Variation Image Reconstruction Algorithm for Electrical Capacitance Tomography , 2016, ArXiv.

[50]  Alberto J. Palma,et al.  Development of an Electrical Capacitance Tomography system using four rotating electrodes , 2008 .

[51]  Wuqiang Yang,et al.  3D imaging with single-plane electrical capacitance tomography sensor , 2015 .

[52]  M. Soleimani,et al.  Quantitative Reconstruction of the Exterior Boundary Shape of Metallic Inclusions Using Electrical Capacitance Tomography , 2017, IEEE Sensors Journal.