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	A general region-of-interest image reconstruction approach with truncated Hilbert transform
	Li, Liang ; Kang, Kejun ; Chen, Zhiqiang ; Zhang, Li ; Xing, Yuxiang
	2010-10-12 ; 2010-10-12
关键词	Computed tomography (CT) image reconstruction Region-of-interest (ROI) truncated Hilbert transform CONE-BEAM CT FAN-BEAM BACKPROJECTION-FILTRATION COMPUTED-TOMOGRAPHY PROJECTION DATA INVERSION SCAN Instruments & Instrumentation Optics Physics, Applied
中文摘要	This paper presents a novel data sufficiency condition that unique and stable ROI reconstruction can be achieved from a more flexible family of data sets. To the interior problem, it allows the ROI (Region-of-interest) can be reconstructed from the line integrals passing through this ROI and a small region B located anywhere as long as the image is known on B. Especially, ROI reconstruction can be achieved without any other a priori knowledge when region B is placed outside the object support. We also develop a general reconstruction algorithm with the DBP-POCS (Differentiated backprojection-projection onto convex sets) method. Finally, both numerical and real experiments were done to illustrate the new data sufficiency condition and the good stability of the ROI reconstruction algorithm.
语种	英语 ; 英语
出版者	IOS PRESS ; AMSTERDAM ; NIEUWE HEMWEG 6B, 1013 BG AMSTERDAM, NETHERLANDS
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/78830]
专题	清华大学
推荐引用方式 GB/T 7714	Li, Liang,Kang, Kejun,Chen, Zhiqiang,et al. A general region-of-interest image reconstruction approach with truncated Hilbert transform[J],2010, 2010.
APA	Li, Liang,Kang, Kejun,Chen, Zhiqiang,Zhang, Li,&Xing, Yuxiang.(2010).A general region-of-interest image reconstruction approach with truncated Hilbert transform..
MLA	Li, Liang,et al."A general region-of-interest image reconstruction approach with truncated Hilbert transform".(2010).

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