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Regularized modified Newton-Raphson technique applied to electrical impedance tomography

✍ Scribed by C. J. Grootveld; A. Segal; B. Scarlett


Publisher
John Wiley and Sons
Year
1998
Tongue
English
Weight
159 KB
Volume
9
Category
Article
ISSN
0899-9457

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✦ Synopsis


Electrical Impedance Tomography (EIT) is gaining imconvergence of the iteration process is very sensitive to any noise portance as a monitoring tool for process engineering. The main reaon the data. The authors found MNR to diverge when applied to sons for this are its nonintrusive measurement property and its relareal measured data. This article presents a regularization techtively cheap hardware. However, the image reconstruction still renique to stabilize the convergence process. It was found to work mains a problem especially under heavy process conditions with little well on really noisy data obtained from a 10-cm-diameter vessel prior information. Many researchers have devoted their attention to holding 16 electrodes.

this problem, but robust algorithms working on real noisy data are Part of the ill-conditioning is due to the mismatch between scarce. The authors present a regularized, modified Newton-Raphson the finite element method (FEM) mesh and the actual object.

algorithm that gives satisfying results on both static and dynamic Usually, a fixed mesh is taken of which the number of elements processes. The number of pixels used by the algorithm are identical to the number of true non-zero eigenvalues, thereby diminishing the is determined by the number of electrodes used [3][4][5]. However, effect of ill-conditioning. The algorithm uses a user-defined pixel mesh some more FEM elements are convenient to reach a certain accuthat is mapped onto a standard finite-element mesh so that the user racy. The authors solved this problem by mapping a coarser mesh is able to easily adapt the mesh to the problem under investigation.

of inverse polar elements onto a regular finer triangular FEM