Electrical impedance image reconstruction using the genetic algorithm

Kuo Sheng Cheng, Bae Horng Chen, Han Seng Tong

研究成果: Conference article同行評審

9 引文 斯高帕斯(Scopus)

摘要

In this paper, a genetic based reconstruction algorithm (GA) is proposed for producing the electrical impedance image. This method has the potential in parallelized hardware implementation. The impedance image reconstruction is cast as a minimization problem. The cost function is defined as the errors between the measured and estimated boundary voltages in least square sense. The image is considered as the bit strings. From the results, it is demonstrated to be feasible for producing the dynamic image. In order to reduce the number of degree of freedom of this proposed method, a guided technique based upon the voltage measurements is also designed. In addition, the noise effect of the voltage measurement is also investigated. From the simulation results, the proposed algorithm has the some extent of the noise immunity.

原文English
頁(從 - 到)768-769
頁數2
期刊Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
2
出版狀態Published - 1996 十二月 1
事件Proceedings of the 1996 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Part 2 (of 5) - Amsterdam, Neth
持續時間: 1996 十月 311996 十一月 3

All Science Journal Classification (ASJC) codes

  • 訊號處理
  • 生物醫學工程
  • 電腦視覺和模式識別
  • 健康資訊學

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