Efficient non-linear 3D electrical tomography reconstruction
Efficient non-linear 3D electrical tomography reconstruction
Non-linear electrical tomography imaging can be performed efficiently if certain optimisations 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 optimisations 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.
3D non-linear electrical impedance tomography, optimised reconstruction algorithm, increased spatial resolution, parallel computing
0 85316 224 7
424-432
Molinari, M.
47944a31-9242-4dcf-a527-40309e104fbf
Cox, S.J.
0e62aaed-24ad-4a74-b996-f606e40e5c55
Blott, B.H.
3d85df1b-d990-437e-992b-f2ec51b03067
Daniell, G.J.
82c59eea-5002-4889-8823-2c6e5b3288d3
August 2001
Molinari, M.
47944a31-9242-4dcf-a527-40309e104fbf
Cox, S.J.
0e62aaed-24ad-4a74-b996-f606e40e5c55
Blott, B.H.
3d85df1b-d990-437e-992b-f2ec51b03067
Daniell, G.J.
82c59eea-5002-4889-8823-2c6e5b3288d3
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, Hanover, Germany.
29 - 31 Aug 2001.
.
Record type:
Conference or Workshop Item
(Paper)
Abstract
Non-linear electrical tomography imaging can be performed efficiently if certain optimisations 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 optimisations 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.
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molinari_Eff3DEIT_wcipt_2001_p424-432.pdf
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molinari_Eff3DEIT_wcipt_2001.pdf
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Published 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
Venue - Dates:
Proceedings of the 2nd World Congress on Industrial Process Tomography, Hanover, Germany, 2001-08-29 - 2001-08-31
Keywords:
3D non-linear electrical impedance tomography, optimised reconstruction algorithm, increased spatial resolution, parallel computing
Organisations:
Electronics & Computer Science
Identifiers
Local EPrints ID: 255995
URI: http://eprints.soton.ac.uk/id/eprint/255995
ISBN: 0 85316 224 7
PURE UUID: aa1ac52a-4a13-4eb6-9b90-39d24247f5f6
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Date deposited: 26 Feb 2002
Last modified: 14 Mar 2024 05:37
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Contributors
Author:
M. Molinari
Author:
B.H. Blott
Author:
G.J. Daniell
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