A preconditioned hybrid reconstruction algorithm for electrical impedance tomography

被引：1
|
作者：
Fan, Wenru [1 ]
Wang, Huaxiang [1 ]
机构：
[1] Tianjin Univ, Sch Elect Engn & Automat, Tianjin 300072, Peoples R China
来源：
SEVENTH INTERNATIONAL SYMPOSIUM ON INSTRUMENTATION AND CONTROL TECHNOLOGY: SENSORS AND INSTRUMENTS, COMPUTER SIMULATION, AND ARTIFICIAL INTELLIGENCE | 2008年 / 7127卷
关键词：
Electrical impedance tomography; image reconstruction; Krylov subspace; hybrid algorithm; preconditioning;
D O I：
10.1117/12.806460
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Electrical impedance tomography (EIT) aims to estimate the electrical properties at the interior of an object from current-voltage measurements on its boundary. In this paper, preconditioned reconstruction algorithm which improves the property of iterative convergence has been proposed to solve the inverse problem of EIT. Experimental results indicate that the algorithm is much more stable and efficient compared with normal iterative methods. At the same time, the invertible preconditioners and prior information of human thorax have been discussed in this paper.
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页数：6
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