Non-linear electrical tomography reconstruction of simple test objects and a simulated head slice
Non-linear electrical tomography reconstruction of simple test objects and a simulated head slice
Fully non-linear reconstruction in Electrical Tomography produces images with well-defined characteristics when explicit guides are imposed on the accessible solutions. In this paper, we revisit the formulation of the problem and apply the algorithm to some simulated test objects, and to a simple 2-dimensional model of the human head. The results demonstrate the best fidelity of reconstruction which may be achieved with existing and potentially attainable levels of signal to noise. We use a finite element model with some adaptive capability so that the images generated by the chosen constraint are not perturbed by the coarseness of the mesh. The algorithm incorporates a number of optimisations to reduce the required computing power and storage space, these include:
Sparse matrix storage scheme and optimised sparse numerical handling
Problem-adapted element shape and density
Usage of high quality finite element meshes
Pre-evaluation of used quantities and matrices and application of numerical techniques such as the Woodbury formula
26
Molinari, M.
47944a31-9242-4dcf-a527-40309e104fbf
Blott, B.H.
3d85df1b-d990-437e-992b-f2ec51b03067
Cox, S.J.
0e62aaed-24ad-4a74-b996-f606e40e5c55
Daniell, G.J.
82c59eea-5002-4889-8823-2c6e5b3288d3
2001
Molinari, M.
47944a31-9242-4dcf-a527-40309e104fbf
Blott, B.H.
3d85df1b-d990-437e-992b-f2ec51b03067
Cox, S.J.
0e62aaed-24ad-4a74-b996-f606e40e5c55
Daniell, G.J.
82c59eea-5002-4889-8823-2c6e5b3288d3
Molinari, M., Blott, B.H., Cox, S.J. and Daniell, G.J.
(2001)
Non-linear electrical tomography reconstruction of simple test objects and a simulated head slice.
3rd EPSRC Engineering Network Meeting on Biomedical Applications of EIT.
.
Record type:
Conference or Workshop Item
(Paper)
Abstract
Fully non-linear reconstruction in Electrical Tomography produces images with well-defined characteristics when explicit guides are imposed on the accessible solutions. In this paper, we revisit the formulation of the problem and apply the algorithm to some simulated test objects, and to a simple 2-dimensional model of the human head. The results demonstrate the best fidelity of reconstruction which may be achieved with existing and potentially attainable levels of signal to noise. We use a finite element model with some adaptive capability so that the images generated by the chosen constraint are not perturbed by the coarseness of the mesh. The algorithm incorporates a number of optimisations to reduce the required computing power and storage space, these include:
Sparse matrix storage scheme and optimised sparse numerical handling
Problem-adapted element shape and density
Usage of high quality finite element meshes
Pre-evaluation of used quantities and matrices and application of numerical techniques such as the Woodbury formula
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Published date: 2001
Additional Information:
Conference: 3rd EPSRC Engineering Network Meeting on Biomedical Applications of EIT, University College London, 4-6 April 2001 Organisation: EPSRC
Venue - Dates:
3rd EPSRC Engineering Network Meeting on Biomedical Applications of EIT, 2001-03-31
Organisations:
Electronics & Computer Science
Identifiers
Local EPrints ID: 255760
URI: http://eprints.soton.ac.uk/id/eprint/255760
PURE UUID: 03fd8dce-2e02-4637-a0ec-aa2d7927898d
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Date deposited: 26 Feb 2002
Last modified: 10 Dec 2021 20:39
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Contributors
Author:
M. Molinari
Author:
B.H. Blott
Author:
G.J. Daniell
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