Adaptive mesh refinement techniques for electrical impedance tomography
Adaptive mesh refinement techniques for electrical impedance tomography
Adaptive mesh refinement techniques can be applied to increase the efficiency of electrical impedance tomography reconstruction algorithms by reducing computational and storage cost as well as providing problem-dependent solution structures. A self-adaptive refinement algorithm based on an 'a posteriori' error estimate has been developed and its results are shown in comparison with uniform mesh refinement for a simple head model. Keywords: nonlinear electrical impedance tomography, adaptive mesh refinement, h-refinement, p-refinement, efficiency, improved convergence
91-96
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
February 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)
Adaptive mesh refinement techniques for electrical impedance tomography.
Physiological Measurement, 22 (1), .
(doi:10.1088/0967-3334/22/1/312).
Abstract
Adaptive mesh refinement techniques can be applied to increase the efficiency of electrical impedance tomography reconstruction algorithms by reducing computational and storage cost as well as providing problem-dependent solution structures. A self-adaptive refinement algorithm based on an 'a posteriori' error estimate has been developed and its results are shown in comparison with uniform mesh refinement for a simple head model. Keywords: nonlinear electrical impedance tomography, adaptive mesh refinement, h-refinement, p-refinement, efficiency, improved convergence
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molinari_AMRforEIT_PM22_2001_p91-96.pdf
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Published date: February 2001
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Address: Bristol, UK
Venue - Dates:
Physiological Measurement, 2001-02-01
Organisations:
Electronics & Computer Science
Identifiers
Local EPrints ID: 256568
URI: http://eprints.soton.ac.uk/id/eprint/256568
ISSN: 0967-3334
PURE UUID: 20a7f6a3-9ef9-4a2b-ad33-e6013d9a372d
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Date deposited: 07 May 2002
Last modified: 14 Mar 2024 05:46
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Author:
M. Molinari
Author:
B.H. Blott
Author:
G.J. Daniell
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