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Investigations impact of image reconstruction algorithms on image qualities is one of important topics in electrical capacitance tomography (ECT). Among many factors affecting comparing results most significant are different models of sensors and phantoms as well as different methods of image errors calculations. Thus, there is a need to elaborate a programming library which helps introducing a standard methodology for evaluation of existed and new image reconstructions procedures applied in ECT. This paper presents such library designed to study of iterative image reconstructions with updating sensitivity matrix.
Słowa kluczowe
Rocznik
Tom
Strony
113--118
Opis fizyczny
Bibliogr. 10 poz.
Twórcy
autor
autor
- Warsaw University of Technology, Institute of Radioelectronics, Division of Nuclear and Medical Electronics, Warszawa, W.Smolik@ire.pw.edu.pl
Bibliografia
- DUGGAN P M AND YORK T A (1995) Tomographic image reconstruction using RAM-based neural networks Proc. 4th ECAPT Conf. European Concerted Action on Process Tomography, Bergen pp 411-9.
- ISAKSEN O., (1996), A review of reconstruction techniques for capacitance tomography, Measurement Science and Technology. Vol. 7, pp 325-337.
- LIONHEART B., (2001), Reconstruction Algorithms for Permittivity and Conductivity Imaging, 2nd World Congress on Industrial Tomography, Hanover 2001, pp. 4-11.
- MIRKOWSKI J., SMOLIK W., BRZESKI P., OLSZEWSKI T., RADOMSKI D., SZABATIN R., (2004), "Software for sensor modeling in electrical capacitance tomography", Proc. 3rd International Symposium on Process Tomography in Poland, (Łódź, Poland, Sept. 9-10, 2004), pp. 118-123.
- MIRKOWSKI J., SMOLIK W. T., YANG M., OLSZEWSKI T., SZABATIN R., RADOMSKI D. S., YANG W. Q, (2008), A New Forward-Problem Solver Based on a Capacitor-Mesh Model for Electrical Capacitance Tomography, IEEE Transactions on Instrumentation and Measurement, Vol. 57 pp.: 973 - 980.
- NOORALAHIYAN A Y, HOYLE B S AND BAILEY N J (1994) Neural network for pattern association in electrical capacitance tomography IEE Proc, Circuits Devices Syst. 141 517-21.
- SHEPP L. A. AND LOGAN B. F., (1974), Reconstructing Interior Head Tissue from X-Ray Transmissions, IEEE Transactions on Nuclear Science. Vol. 21 pp. 228 - 236.
- SMOLIK W., RADOMSKI D., (2008), The Method of Calculation of Potential Distribution For Image Reconstruction Iterative Algorithm In Electrical Capacitance Tomography, to be presented at 5th International Symposium on Process Tomography In Poland, Zakopane.
- VAUHKONEN M, LIONHEARTW R B, HEIKKINEN L M, VAUHKONEN P J AND KAIPIO J P, (2001) A Matlab package for the EIDORS project to reconstruct two-dimensional EIT images Physiological. Measurements. Vol. 22, pp. 107-11.
- YANG W.Q., PENG L., (2002) Review of image reconstruction algorithms for electrical capacitance tomography, 2nd International Symposium on Process Tomography in Poland, Wroclaw, pp 123-140.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-LOD1-0020-0034