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(Referência obtida automaticamente do Google Scholar, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Electrical impedance tomography through constrained sequential linear programming: a topology optimization approach

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Autor(es):
de Lima‚ C.R. ; Mello‚ L.A.M. ; Lima‚ R.G. ; Silva‚ E.C.N.
Número total de Autores: 4
Tipo de documento: Artigo Científico
Fonte: MEASUREMENT SCIENCE & TECHNOLOGY; v. 18, n. 9, p. 2847, 2007.
Resumo

Electrical impedance tomography ( EIT) is an imaging method that estimates conductivity distribution inside a body. In EIT, images are obtained by applying a sequence of low intensity electrical currents through electrodes attached to the body. Although in EIT there are serious difficulties to obtain a high- quality conductivity image, for medical applications this technology is safer and cheaper than other tomography techniques. The EIT deals with an inverse problem in which given the measured voltages on electrodes and a finite element ( FE) model, it estimates the conductivity distribution, which are parameters of the FE model. In this work, the topology optimization method is applied as a reconstruction algorithm to obtain absolute images in EIT. It is an optimization method that has been applied successfully to structural mechanical applications and consists of systematically finding a conductivity distribution ( or material distribution) in the domain that minimizes the difference between measured voltages and voltages calculated by using a computational model. This algorithm combines the finite element method and sequential linear programming ( SLP) to solve the inverse problem of EIT. The SLP allows us to easily apply some regularization schemes based on included constraints in the topology optimization problem. Constraints based on image tuning control and weighted distance interpolation ( WDI) are proposed, while a material model is applied to ensure the relaxation of the optimization problem. A new formulation to analytically perform the sensitivity analysis is proposed, using Maxwell's reciprocity theorem. To illustrate, the implemented algorithm is applied to obtain conductivity image distributions of some 2D examples using numerical and experimental data. (AU)

Processo FAPESP: 01/05303-4 - Novas estratégias em ventilação artificial: diagnóstico e prevenção do barotrauma/biotrauma através da tomografia de impedância elétrica (TIE)
Beneficiário:Marcelo Britto Passos Amato
Modalidade de apoio: Auxílio à Pesquisa - Temático
Processo FAPESP: 02/01625-0 - Estudo da obtencao de imagens de tomografia por impedancia eletrica (tie) do pulmao pelo metodo de otimizacao topologica (mot).
Beneficiário:Cícero Ribeiro de Lima
Modalidade de apoio: Bolsas no Brasil - Doutorado