An image reconstruction algorithm based on the regularized total least squares method for electrical capacitance tomography

CORC > 工程热物理研究所 > 中国科学院工程热物理研究所 > 中国科学院工程热物理所（论文库） > 期刊论文（SCI）

	An image reconstruction algorithm based on the regularized total least squares method for electrical capacitance tomography
	Lei, Jing 1; Liu, Shi 2; Li, Zhihong 2; Schlaberg, H. Inaki 3; Sun, Meng 1
刊名	FLOW MEASUREMENT AND INSTRUMENTATION
	2008-12-01
卷号	19 期号:6 页码:325-330
关键词	Electrical capacitance tomography Image reconstruction Regularized total least squares method Regularization technique
英文摘要	Electrical capacitance tomography (ECT) is a non-invasive imaging technology that is aimed at the visualization of the cross-sectional permittivity distribution of a dielectric object based on the measured capacitance data. ECT image reconstruction is a typical ill-posed problem and its solution is unstable, that is, the solution is highly sensitive to noise in the input data. Methods that ensure the stability of a solution while enhancing the quality of the reconstructed images should be used to obtain a meaningful reconstruction result. In this paper, an image reconstruction algorithm that considers the errors in both sensitivity field matrix and capacitance values based on the regularized total least squares method for electrical capacitance tomography is presented. The image reconstruction problem is transformed into an optimization problem. In addition, the Newton algorithm is employed to solve the objective function. Numerical simulations indicate that the algorithm is efficient and overcomes the numerical instability of ECT image reconstruction. For the cases of the reconstructed objects considered in this paper the spatial resolution of the reconstructed images obtained using the proposed algorithm is enhanced; and the artifacts in the reconstructed images can be eliminated effectively. As a result an efficient method for ECT image reconstruction is introduced. (C) 2008 Elsevier Ltd. All rights reserved.
WOS标题词	Science & Technology ; Technology
类目[WOS]	Engineering, Mechanical ; Instruments & Instrumentation
研究领域[WOS]	Engineering ; Instruments & Instrumentation
关键词[WOS]	FLOW MEASUREMENT ; FLUIDIZED-BEDS ; NEURAL-NETWORK ; SOLIDS
收录类别	SCI
语种	英语
WOS记录号	WOS:000261005700001
公开日期	2015-12-22
内容类型	期刊论文
源URL	[http://ir.etp.ac.cn/handle/311046/106347]
专题	工程热物理研究所_中国科学院工程热物理所（论文库）_期刊论文（SCI）
作者单位	1.Chinese Acad Sci, Inst Engn Thermophys, Beijing 100080, Peoples R China 2.N China Elect Power Univ, Minist Educ, Key Lab Condit Monitoring & Control Power Plant E, Beijing 102206, Peoples R China 3.Univ Leeds, Inst Particle Sci & Engn, Leeds LS2 9JT, W Yorkshire, England
推荐引用方式 GB/T 7714	Lei, Jing,Liu, Shi,Li, Zhihong,et al. An image reconstruction algorithm based on the regularized total least squares method for electrical capacitance tomography[J]. FLOW MEASUREMENT AND INSTRUMENTATION,2008,19(6):325-330.
APA	Lei, Jing,Liu, Shi,Li, Zhihong,Schlaberg, H. Inaki,&Sun, Meng.(2008).An image reconstruction algorithm based on the regularized total least squares method for electrical capacitance tomography.FLOW MEASUREMENT AND INSTRUMENTATION,19(6),325-330.
MLA	Lei, Jing,et al."An image reconstruction algorithm based on the regularized total least squares method for electrical capacitance tomography".FLOW MEASUREMENT AND INSTRUMENTATION 19.6(2008):325-330.