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

University of Manchester Institute of Science and Technology

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

2 Citations (Scopus)

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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http://www.isipt.org/world-congress/1/27.htmlLicence: Unspecified

Cite this

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

AU - Jeanmeure, L.F.C.

AU - Zimmerman, William Bauer Jay

AU - Dyakowski, T.

AU - Jaworski, Artur J.

AU - Davies, Graham A.

N1 - Conference code: 1

PY - 1999

Y1 - 1999

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.

KW - Reconstruction algorithm

KW - Perturbation theory

KW - ECT

KW - Cellular Neural Network

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M3 - Conference contribution

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T2 - 1st World Congress on Industrial Process Tomography

Y2 - 14 April 1999 through 17 April 1999

ER -

An algorithm based on Perturbation Theory for Electrical Capacitance Tomography

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