LINEAR OVER RANGES ITERATIVE ALGORITHMS FOR IMAGE RECONSTRUCTION IN ELECTRICAL CAPACITANCE TOMOGRAPHY

Waldemar Smolik

W.Smolik@ire.pw.edu.pl
Warsaw University of Technology, Faculty of Electronics and Information Technology, The Institute of Radioelectronics and Multimedia Technology, Nuclear and Medical Electronics Division (Poland)

Jacek Kryszyn


Warsaw University of Technology, Faculty of Electronics and Information Technology, The Institute of Radioelectronics and Multimedia Technology, Nuclear and Medical Electronics Division (Poland)

Abstract

The paper concerns the non-linear algorithms for image reconstruction in electrical capacitance tomography for which Jacobi matrix computation time is very long. The paper presents the idea of an iterative linearization in nonlinear problems, which leads to a reduction in the number of steps calculating Jacobi matrix. The linear Landweber algorithm with sensitivity matrix updating and non-linear Levenberg-Marquardt algorithm with Jacobi matrix updating in selected steps only were presented.


Keywords:

non-linear problem, iterative linearization, electrical tomography, image reconstruction from projections

Brandstatter B., Holler G., Watzenig, D.: Reconstruction of inhomogeneities in fluids by means of capacitance tomography. COMPEL—Int. J. Comput. Math. Electr. Electron. Eng., 22/2003, 508–19.
  Google Scholar

Brzeski P., Mirkowski J., Olszewski T., Pląskowski A., Smolik W., Szabatin R.: Multichannel capacitance tomograph for dynamic process imaging. Opto-Electronics Review, 11(3)/2003, 175–180.
  Google Scholar

Gomez S., Ono M., Gamio C., Fraguela A.: Reconstruction of capacitance tomography images of simulated two-phase flow regimes. Appl. Num. Math., 2003, 197–208.
  Google Scholar

Hansen P.C., O'leary D.P.: The use of the L-curve in the regularization of discrete ill-posed problems. SIAM J. Sci. Comput., 14/1993, 1487–1503.
  Google Scholar

Holler G., Watzenig D., Brandstatter B.: A fast Gauss–Newton based ECT algorithm with automatic adjustment of the regularization parameter. Proc. 3rd World Congress on Industrial Process Tomography, Banff, Alberta, Canada, 2003, 415–420.
  Google Scholar

Huang S.M., Plaskowski A.B., Xie C.G., Beck M.S.: Capacitance-based tomographic flow imaging system. Electron. Lett., 24/1988, 418–419.
  Google Scholar

Huang S.M., Plaskowski A., Xie C.G., Beck M.S.: Tomographic imaging of two-component flow using capacitance sensors. J.Phys. E:Sci. Instrum., 22/1989, 173–177.
  Google Scholar

Landweber L.: An Iterative Formula for Fredholm Integral Equations of the First Kind. Amer. J. Math., 73/1951, 615–624.
  Google Scholar

Li Y., Yang W.Q.: Image reconstruction by nonlinear Landweber iteration for complicated distributions. Meas. Sci. Technol., 19/2008, 1–8.
  Google Scholar

Lionheart W. R.: EIT reconstruction algorithms: pitfalls, challenges and recent developments. Physiol. Meas., 25/2004, 125–142.
  Google Scholar

Lionheart W., Polydordes N., Borsic A.: The reconstruction problem. In: Holder D.S. (ed.) Electrical Impedance Tomography: Methods, History and Applications. Institute of Physics, 2004.
  Google Scholar

Mirkowski J., Smolik W., Olszewski T., Radomski D., Szabatin R., Brzeski P.: Parameters Optimization For Model Based Image Reconstruction In Electrical Capacitance Tomography. Proc. 4th World Congress on Industrial Process Tomography, Aizu, Japan, 2005, 703–707.
  Google Scholar

Mirkowski J., Smolik W.T., Yang M., Olszewski T., Szabatin R., Radomski D.S., Yang W.Q.: A New Forward-Problem Solver Based on a Capacitor-Mesh Model for Electrical Capacitance Tomography. IEEE Trans. Instrumentation and Measurement, Vol. 57, No 5, 2008, 973–980.
  Google Scholar

Plaskowski, A., Beck, M., Thorn, R. & Dyakowski, T.: Imaging industrial flows. Applications of electrical process tomography, IOP Publishing Ltd., 1995.
  Google Scholar

Smolik W.: Reconstruction of complex objects in electrical capacitance tomography. IEEE International Workshop on Imaging Systems and Techniques (IST 2009), Shenzhen, China, 2009, 432–437.
  Google Scholar

Smolik W.T., Radomski D.: Performance evaluation of the iterative image reconstruction algorithm with sensitivity matrix updating based on real measurements for electrical capacitance tomography. Meas. Sci. Technol., 20/2009, 115502 (12pp).
  Google Scholar

Smolik W., Mirkowski J., Olszewski T., Szabatin R.: Verification of image reconstruction algorithm with sensitivity matrix updating for real data in electrical capacitance tomography. Proc. 4th International Symposium on Process Tomography in Poland, Warsaw, Poland, 2006.
  Google Scholar

Smolik W.T., Accelerated Levenberg-Marquardt Method With an Optimal Step Length in Electrical Capacitance Tomography, Proc. of IEEE International Conference on Imaging Systems and Techniques (IST 2010), Thessaloniki, Greece, 2010, 204–209.
  Google Scholar

Smolik W.: Forward Problem Solver for Image Reconstruction by Nonlinear Optimization in Electrical Capacitance Tomography. Flow Measurement and Instrumentation, 21/2010, 70–77.
  Google Scholar

Download


Published
2017-03-03

Cited by

Smolik, W., & Kryszyn, J. . (2017). LINEAR OVER RANGES ITERATIVE ALGORITHMS FOR IMAGE RECONSTRUCTION IN ELECTRICAL CAPACITANCE TOMOGRAPHY. Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 7(1), 115–120. https://doi.org/10.5604/01.3001.0010.4598

Authors

Waldemar Smolik 
W.Smolik@ire.pw.edu.pl
Warsaw University of Technology, Faculty of Electronics and Information Technology, The Institute of Radioelectronics and Multimedia Technology, Nuclear and Medical Electronics Division Poland

Authors

Jacek Kryszyn 

Warsaw University of Technology, Faculty of Electronics and Information Technology, The Institute of Radioelectronics and Multimedia Technology, Nuclear and Medical Electronics Division Poland

Statistics

Abstract views: 199
PDF downloads: 61


Most read articles by the same author(s)