Dynamic imaging method using the low n-rank tensor for electrical capacitance tomography

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	Dynamic imaging method using the low n-rank tensor for electrical capacitance tomography
	Lei, J.1; Liu, W. Y.1; Liu, S.1; Wang, X. Y.2
刊名	FLOW MEASUREMENT AND INSTRUMENTATION
	2015-03-01
卷号	41 页码:104-114
关键词	Electrical capacitance tomography Volume imaging Image tensor Low n-rank constraint Image reconstruction
英文摘要	Imaging objects in electrical capacitance tomography (ECT) measurement are often in a dynamic evolution process, and exploiting the spatial-temporal properties of the dynamic reconstruction objects is crucial for the improvement of the reconstruction quality. Based on the multiple measurement vectors, in this paper a robust dynamic reconstruction model that incorporates the ECT measurement information and the dynamic evolution information of a dynamic object, in which a series of dynamic images is cast as a third-order tensor that the first two dimensions are space and the third is time, is proposed. Under the considerations of the two-dimensional spatial structure property of a difference image and the spatial-temporal property of a third-order image tensor, a new objective functional that fuses the ECT measurement information, the dynamic evolution information, the temporal constraint, the spatial constraint, the low rank constraint of a difference image and the low n-rank constraint of a third-order tensor is proposed, where the images are reconstructed by a batching pattern. The split Bregman iteration (SBI) algorithm is developed for solving the proposed objective functional. Numerical simulations are implemented to demonstrate the advantages of the proposed algorithm on improving the reconstruction quality and the robustness. (C) 2014 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]	ILL-POSED PROBLEMS ; RECONSTRUCTION ALGORITHM ; KALMAN FILTER ; MINIMIZATION ; CONVERGENCE ; ITERATION ; OPTIMIZATION ; RESTORATION ; COMPLETION ; INVERSION
收录类别	SCI
语种	英语
WOS记录号	WOS:000350942000014
公开日期	2015-12-22
内容类型	期刊论文
源URL	[http://ir.etp.ac.cn/handle/311046/98933]
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.North China Elect Power Univ, Sch Energy Power & Mech Engn, Beijing 102206, Peoples R China 2.Chinese Acad Sci, Inst Engn Thermophys, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Lei, J.,Liu, W. Y.,Liu, S.,et al. Dynamic imaging method using the low n-rank tensor for electrical capacitance tomography[J]. FLOW MEASUREMENT AND INSTRUMENTATION,2015,41:104-114.
APA	Lei, J.,Liu, W. Y.,Liu, S.,&Wang, X. Y..(2015).Dynamic imaging method using the low n-rank tensor for electrical capacitance tomography.FLOW MEASUREMENT AND INSTRUMENTATION,41,104-114.
MLA	Lei, J.,et al."Dynamic imaging method using the low n-rank tensor for electrical capacitance tomography".FLOW MEASUREMENT AND INSTRUMENTATION 41(2015):104-114.