Three algorithms and three electrode models for electrical impedance image reconstruction

Kuo-Sheng Cheng, Bae Horng Chen

研究成果: Article同行評審

1 引文 斯高帕斯(Scopus)

摘要

Electrical impedance tomography is a technique for reconstructing the spatial distribution of the parameters characterizing the electrical properties of tissues within a body. These parameters, conductivity and relative permittivity, cannot be obtained by other imaging modalities. In this paper, the simulated annealing, the genetic algorithms, and the Newton-Raphson method are developed for electrical impedance image reconstruction. From the results, both the simulated annealing and genetic algorithm based methods are demonstrated to be feasible for producing the dynamic image of resistivity distribution. In order to reduce the number of degree of freedom in these two methods, a guided technique based upon the voltage measurements is also designed. In addition, a modified Newton-Raphson method is also proposed for improving the image contrast. Three electrode models for describing the effect of electrode are also investigated. Afterwards, A simple gap electrode model for its best performance is also included in the FEM forward solver.

原文English
頁(從 - 到)99-108
頁數10
期刊Journal of Medical and Biological Engineering
24
發行號2
出版狀態Published - 2004 六月 1

All Science Journal Classification (ASJC) codes

  • 生物醫學工程

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