Tomography MCMC method exploration software package

• Autorzy: Matusiak B. , Grudzień K. , Romanowski A. , Jackowska-Strumiłło L.
• Języki publikacji: EN

Abstrakty

EN

Statistical methods such as Monte Carlo Markov Chain (MCMC) coupled with Bayesian approach proved its usefulness to the Electrical Capacitance Tomography (ECT) inverse problem solution. However, this methodology is very sensitive to the values of method parameters. The dedicated tool for investigation of this statistical method and for algorithm adjusting, testing, verification and optimization is proposed in the paper.

Słowa kluczowe

EN

electrical capacitance tomography; MCMC; Mac OS X tomography software

• Wydawca: Wydawnictwo Politechniki Łódzkiej
• Czasopismo: Zeszyty Naukowe. Elektryka / Politechnika Łódzka
• Rocznik: 2009
• Tom: z. 114
• Strony: 127--133
• Opis fizyczny: Bibliogr. 10 poz.

Twórcy

autor

Matusiak B.

autor

Grudzień K.

autor

Romanowski A.

autor

Jackowska-Strumiłło L.

• Computer Engineering Department, Technical University of Łódź,

Bibliografia

• KAIPIO J.P., KOLEHMAINEN V, SOMERSALO E, VAUHKONEN M., (2000), Statistical Inversion and Monte Carlo Sampling Methods in Electrical Impedance Tomography, Inverse Problems, Vol. 16, pp. 1487-1522.
• LIONHEART W.R.B.., (2004), Review: Developments in EIT reconstruction algorithms: pitfalls, challenges and recent developments, Physiological Measurements, Vol. 25, pp. 125-142.
• LIU JS., (2001), Monte Carlo Strategies in Scientific Computing. Berlin, Heidelberg: Springer-Verlag, p.364.
• LIU S., YANG W.Q., WANG H., JIANG F., SU Y., (2004), Investigation of square fluidized beds using capacitance tomography: preliminary results, Measurement Science and Technology, Vol. 12, pp. 1120-1125.
• ROMANOWSKI A., GRUDZIEŃ K., (2005), The juxtaposition of image reconstruction methods and 2D spatial modelling for process tomography, (in polish), Automatyka / AGH Cracov, Vol. 9 number 3, pp. 621-630.
• ROMANOWSKI A., GRUDZIEŃ K., AYKROYD R., WILLIAMS R., WEST R., MENG S., (2004), An Introduction to the Bayesian/MCMC Approach as a Recently Developed Methodology for Tomographic Data Analysis, 3rd International Tomography Symposium in Poland, pp. 134-138.
• WAJMAN R., MAZURKIEWICZ L., SANKOWSKI D., (2004), The sensitivity map in the image reconstruction process for electrical capacitance tomography (in polish), Automatyka / AGH Cracov, Vol. 8, nr 3, pp. 415-420.
• WEST R.M., AYKROYD R.G., MENG S., WILLIAMS R.A., (2004), Markov Chain Monte Carlo Techniques and Spatial-Temporal Modelling for Medical EIT, Physiological Measurements, Vol. 25, pp. 181-194.
• WINKLER G., (2003), Image Analysis, Random Fields and Markov Chain Monte Carlo: A Mathematical Introduction (2nd Ed.). Berlin, Heidelberg: Springer-Verlag, p. 412.
• YANG W.Q., SPINK D.M., YORK T.A., MCCANN H., (1999), An image-reconstruction algorithm based on Landweber's iteration method for electrical-capacitance tomography, Measurement Seience and Technology, Vol. 10, pp. 1065-1069.