Image reconstruction using interval simulated annealing in electrical impedance tomography

IEEE Transactions on Bio-medical Engineering
Thiago de Castro MartinsMarcos de Sales Guerra Tsuzuki

Abstract

Electrical impedance tomography (EIT) is an imaging technique that attempts to reconstruct the impedance distribution inside an object from the impedance between electrodes placed on the object surface. The EIT reconstruction problem can be approached as a nonlinear nonconvex optimization problem in which one tries to maximize the matching between a simulated impedance problem and the observed data. This nonlinear optimization problem is often ill-posed, and not very suited to methods that evaluate derivatives of the objective function. It may be approached by simulated annealing (SA), but at a large computational cost due to the expensive evaluation process of the objective function, which involves a full simulation of the impedance problem at each iteration. A variation of SA is proposed in which the objective function is evaluated only partially, while ensuring boundaries on the behavior of the modified algorithm.

References

Apr 1, 1993·IEEE Transactions on Bio-medical Engineering·P HuaW J Tompkins
Feb 5, 1998·The New England Journal of Medicine·M B AmatoC R Carvalho
Aug 9, 2002·IEEE Transactions on Medical Imaging·M T Clay, T C Ferree
Jan 16, 2004·IEEE Transactions on Bio-medical Engineering·Flávio Celso TrigoMarcelo Brito Passos Amato
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Feb 14, 2008·IEEE Transactions on Bio-medical Engineering·Luís Augusto Motta MelloEmílio Carlos Nelli Silva

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Citations

Jul 12, 2014·IEEE Transactions on Medical Imaging·Xiaolin ZhangChris Chatwin
Jan 29, 2019·Computational and Mathematical Methods in Medicine·Ali JalaliChandrasekhar Nataraj
Jan 28, 2020·Annual Reviews in Control·Thiago de Castro MartinsMarcos de Sales Guerra Tsuzuki

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