@inproceedings{a52d8a07da9b48b694538fcd318656fa,
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 e 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 = "Cellular Neural Network, ECT, Perturbation theory, Reconstruction algorithm",
author = "Jeanmeure, {L. F.C.} and Zimmerman, {W. B.J.} and T. Dyakowski and Jaworski, {A. J.} and Davies, {G. A.}",
year = "1999",
month = apr,
language = "English",
series = "1st World Congress on Industrial Process Tomography",
publisher = "International Society for Industrial Process Tomography",
pages = "184--188",
booktitle = "1st World Congress on Industrial Process Tomography",
note = "1st World Congress in Industrial Process Tomography ; Conference date: 14-04-1999 Through 17-04-1999",
}