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Fisher information analysis and preconditioning in electrical impedance tomography

Nordebo, Sven LU ; Bayford, Richard; Bengtsson, Bengt; Fhager, Andreas; Gustafsson, Mats LU ; Hashemzadeh, Parham; Nilsson, Börje; Rylander, Thomas and Sjöden, Therese (2010) XIV International Conference on Electrical Bioimpedance and 11th Conference on Biomedical Applications of Electrical Impedance Tomography In Journal of Physics: Conference Series 224(1). p.012057-012057
Abstract
n this contribution, it is described how the Fisher information can be computed by using adjoint field techniques, and integrated with the gradient calculations used for optimization in electrical impedance tomography. In particular, the Fisher information can be used as a preconditioner to obtain improved convergence properties and a regularization for quasi-Newton optimization algorithms in electrical impedance tomography. Experimental data have been used to study the possibility of combining a good reconstruction quality with a low system complexity, which is achieved by using a four-electrode measurement technique to avoid the need of high-precision electrode modeling and allowing a very coarse FEM grid. Here, the Fisher information... (More)
n this contribution, it is described how the Fisher information can be computed by using adjoint field techniques, and integrated with the gradient calculations used for optimization in electrical impedance tomography. In particular, the Fisher information can be used as a preconditioner to obtain improved convergence properties and a regularization for quasi-Newton optimization algorithms in electrical impedance tomography. Experimental data have been used to study the possibility of combining a good reconstruction quality with a low system complexity, which is achieved by using a four-electrode measurement technique to avoid the need of high-precision electrode modeling and allowing a very coarse FEM grid. Here, the Fisher information based preconditioning implies a regularization and an algorithm that works well on a coarse FEM grid with very small electrodes modeled as point sources. (Less)
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author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
in
Journal of Physics: Conference Series
volume
224
issue
1
pages
012057 - 012057
publisher
IOP Publishing
conference name
XIV International Conference on Electrical Bioimpedance and 11th Conference on Biomedical Applications of Electrical Impedance Tomography
external identifiers
  • Scopus:77954674412
DOI
10.1088/1742-6596/224/1/012057
language
English
LU publication?
yes
id
830914ff-45b8-4793-894f-2134623c3c0c (old id 1645615)
date added to LUP
2010-08-02 11:48:08
date last changed
2017-01-01 08:08:11
@inproceedings{830914ff-45b8-4793-894f-2134623c3c0c,
  abstract     = {n this contribution, it is described how the Fisher information can be computed by using adjoint field techniques, and integrated with the gradient calculations used for optimization in electrical impedance tomography. In particular, the Fisher information can be used as a preconditioner to obtain improved convergence properties and a regularization for quasi-Newton optimization algorithms in electrical impedance tomography. Experimental data have been used to study the possibility of combining a good reconstruction quality with a low system complexity, which is achieved by using a four-electrode measurement technique to avoid the need of high-precision electrode modeling and allowing a very coarse FEM grid. Here, the Fisher information based preconditioning implies a regularization and an algorithm that works well on a coarse FEM grid with very small electrodes modeled as point sources.},
  author       = {Nordebo, Sven and Bayford, Richard and Bengtsson, Bengt and Fhager, Andreas and Gustafsson, Mats and Hashemzadeh, Parham and Nilsson, Börje and Rylander, Thomas and Sjöden, Therese},
  booktitle    = {Journal of Physics: Conference Series},
  language     = {eng},
  number       = {1},
  pages        = {012057--012057},
  publisher    = {IOP Publishing},
  title        = {Fisher information analysis and preconditioning in electrical impedance tomography},
  url          = {http://dx.doi.org/10.1088/1742-6596/224/1/012057},
  volume       = {224},
  year         = {2010},
}