An algorithm based on Perturbation Theory for Electrical Capacitance Tomography

L.F.C. Jeanmeure; William Bauer Jay Zimmerman; T. Dyakowski; Artur J. Jaworski; Graham A. Davies

An algorithm based on Perturbation Theory for Electrical Capacitance Tomography

L.F.C. Jeanmeure, William Bauer Jay Zimmerman, T. Dyakowski, Artur J. Jaworski, Graham A. Davies

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper presents a new algorithm for an image reconstruction for Electrical Capacitance Tomography (ECT). This algorithm is based on the perturbation theory and uses an estimate of the permittivity distribution from a back-projection algorithm. By providing a guess of the D distribution, the problem of limiting the degree of freedom or uncertainty in the image-reconstruction process will be solved. The gain of this new method would not only be a higher speed for the imaging process as it would be possible to implement it on a parallel computation device, in this case the Cellular Neural Network (CNN) paradigm, but also a better resolution than usual back-projection or other techniques.

Original language	English
Title of host publication	Proceedings of the 1st World Congress on Industrial Process Tomography
Publisher	International Society for Industrial Process Tomography
Pages	184-188
Number of pages	5
ISBN (Print)	9780853163176
Publication status	Published - 1999
Externally published	Yes
Event	1st World Congress on Industrial Process Tomography - Buxton, United Kingdom Duration: 14 Apr 1999 → 17 Apr 1999 Conference number: 1 http://www.isipt.org/world-congress/1.html (Link to Congress Information)

Conference

Conference	1st World Congress on Industrial Process Tomography
Country/Territory	United Kingdom
City	Buxton
Period	14/04/99 → 17/04/99
Internet address	http://www.isipt.org/world-congress/1.html (Link to Congress Information)

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Jeanmeure, L. F. C., Zimmerman, W. B. J., Dyakowski, T., Jaworski, A. J., & Davies, G. A. (1999). An algorithm based on Perturbation Theory for Electrical Capacitance Tomography. In Proceedings of the 1st World Congress on Industrial Process Tomography (pp. 184-188). International Society for Industrial Process Tomography. http://www.isipt.org/world-congress/1/27.html

@inproceedings{35136b7c0a6d4981a0ca47f0c970adb2,

title = "An algorithm based on Perturbation Theory for Electrical Capacitance Tomography",

abstract = "This paper presents a new algorithm for an image reconstruction for Electrical Capacitance Tomography (ECT). This algorithm is based on the perturbation theory and uses an estimate of the permittivity distribution from a back-projection algorithm. By providing a guess of the D distribution, the problem of limiting the degree of freedom or uncertainty in the image-reconstruction process will be solved. The gain of this new method would not only be a higher speed for the imaging process as it would be possible to implement it on a parallel computation device, in this case the Cellular Neural Network (CNN) paradigm, but also a better resolution than usual back-projection or other techniques.",

keywords = "Reconstruction algorithm, Perturbation theory, ECT, Cellular Neural Network",

author = "L.F.C. Jeanmeure and Zimmerman, {William Bauer Jay} and T. Dyakowski and Jaworski, {Artur J.} and Davies, {Graham A.}",

year = "1999",

language = "English",

isbn = "9780853163176",

pages = "184--188",

booktitle = "Proceedings of the 1st World Congress on Industrial Process Tomography",

publisher = "International Society for Industrial Process Tomography",

address = "United Kingdom",

note = "1st World Congress on Industrial Process Tomography ; Conference date: 14-04-1999 Through 17-04-1999",

url = "http://www.isipt.org/world-congress/1.html",

}

Jeanmeure, LFC, Zimmerman, WBJ, Dyakowski, T, Jaworski, AJ & Davies, GA 1999, An algorithm based on Perturbation Theory for Electrical Capacitance Tomography. in Proceedings of the 1st World Congress on Industrial Process Tomography. International Society for Industrial Process Tomography, pp. 184-188, 1st World Congress on Industrial Process Tomography, Buxton, United Kingdom, 14/04/99. <http://www.isipt.org/world-congress/1/27.html>

An algorithm based on Perturbation Theory for Electrical Capacitance Tomography. / Jeanmeure, L.F.C.; Zimmerman, William Bauer Jay; Dyakowski, T. et al.
Proceedings of the 1st World Congress on Industrial Process Tomography. International Society for Industrial Process Tomography, 1999. p. 184-188.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - An algorithm based on Perturbation Theory for Electrical Capacitance Tomography

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AU - Zimmerman, William Bauer Jay

AU - Dyakowski, T.

AU - Jaworski, Artur J.

AU - Davies, Graham A.

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N2 - This paper presents a new algorithm for an image reconstruction for Electrical Capacitance Tomography (ECT). This algorithm is based on the perturbation theory and uses an estimate of the permittivity distribution from a back-projection algorithm. By providing a guess of the D distribution, the problem of limiting the degree of freedom or uncertainty in the image-reconstruction process will be solved. The gain of this new method would not only be a higher speed for the imaging process as it would be possible to implement it on a parallel computation device, in this case the Cellular Neural Network (CNN) paradigm, but also a better resolution than usual back-projection or other techniques.

AB - This paper presents a new algorithm for an image reconstruction for Electrical Capacitance Tomography (ECT). This algorithm is based on the perturbation theory and uses an estimate of the permittivity distribution from a back-projection algorithm. By providing a guess of the D distribution, the problem of limiting the degree of freedom or uncertainty in the image-reconstruction process will be solved. The gain of this new method would not only be a higher speed for the imaging process as it would be possible to implement it on a parallel computation device, in this case the Cellular Neural Network (CNN) paradigm, but also a better resolution than usual back-projection or other techniques.

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KW - Perturbation theory

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KW - Cellular Neural Network

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An algorithm based on Perturbation Theory for Electrical Capacitance Tomography

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