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Fisher information analysis and preconditioning in electrical impedance tomography

S. Nordebo ; R.H. Bayford ; B.A. Bengtsson ; Andreas Fhager (Institutionen för signaler och system, Biomedicinsk elektromagnetik) ; M.G. Gustafsson ; P. Hashemzadeh ; B. Nilsson ; Thomas Rylander (Institutionen för signaler och system, Signalbehandling) ; T. Sjödén
Journal of Physics: Conference Series. 14th International Conference on Electrical Bioimpedance, Held in Conjunction with the 11th Conference on Biomedical Applications of EIT, ICEBI and EIT 2010, Gainesville, United States, 4-8 April 2010 (1742-6588). Vol. 224 (2010), 1, p. Art. no. 012057.
[Konferensbidrag, refereegranskat]

In 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.

Denna post skapades 2015-05-04. Senast ändrad 2016-07-08.
CPL Pubid: 216311


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Institutioner (Chalmers)

Institutionen för signaler och system, Biomedicinsk elektromagnetik (2006-2017)
Institutionen för signaler och system, Signalbehandling (1900-2017)


Elektroteknik och elektronik

Chalmers infrastruktur