Efficient Non-Linear 3D Electrical Tomography Reconstruction


Molinari, M, Cox, S J, Blott, B H and Daniell, G J (2001) Efficient Non-Linear 3D Electrical Tomography Reconstruction. Proceedings of the 2nd World Congress on Industrial Process Tomography , 424-32.

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Description/Abstract

Non-linear electrical tomography reconstruction can be performed efficiently if certain optimizations are applied to the computational reconstruction process. We present a 3D non-linear reconstruction algorithm based on a regularized conjugate-gradient solver and discuss the optimizations which we incorporated to allow for an efficient and accurate reconstruction. In particular, the application of image smoothness constraints or other regularization techniques and auto-adaptive mesh refinement are highly relevant. We demonstrate the results of applying this algorithm to the reconstruction of a simulated material distribution in a cubic volume. Keywords: 3D non-linear electrical impedance tomography, optimised reconstruction algorithm, increased spatial resolution, parallel computing.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Additional Information: Proceedings of the 2nd World Congress on Industrial Process Tomography, 29-31 August 2001, Hannover, Germany Conference Proceedings. Organisation: Virtual Centre for Industrial Process Tomography (VCIPT), IChemE, IEE, ATS-NET, GVC-VDI
ISBNs: 0853162247
Divisions: Faculty of Physical and Applied Science > Electronics and Computer Science
Item ID: 255995
Date Deposited: 26 Feb 2002
Last Modified: 02 Mar 2012 12:19
Contributors: Molinari, M (Author)
Cox, S J (Author)
Blott, B H (Author)
Daniell, G J (Author)
Mann, R (Editor)
Mewes, D (Editor)
Ronson, P (Editor)
Date: August 2001
Additional Information: Proceedings of the 2nd World Congress on Industrial Process Tomography, 29-31 August 2001, Hannover, Germany Conference Proceedings. Organisation: Virtual Centre for Industrial Process Tomography (VCIPT), IChemE, IEE, ATS-NET, GVC-VDI
Status: Published
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/255995

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