NDLI: Anisotropic total variation for limited-angle CT reconstruction

Content Provider	IEEE Xplore Digital Library
Author	Xin Jin Liang Li Zhiqiang Chen Li Zhang Yuxiang Xing
Copyright Year	2010
Description	Author affiliation: Department of Engineering Physics, Tsinghua University, Beijing, China, 100084 (Xin Jin; Liang Li; Zhiqiang Chen; Li Zhang; Yuxiang Xing)
Abstract	The CT limited-angle problem has been discussed for many years because of the strong demand in medical imaging applications. However as a severely ill-posed problem, it is hard to achieve accurate reconstruction if no additional prior information is given. Recently, an ART+TV reconstruction method was proposed. With the prior knowledge of image sparsity, the ART+TV gives high quality reconstructions far beyond other methods. In our work, we further explored the ART+TV method on limited-angle problems and delivered a new ART+ATV method. In our new method, the actual range of view angles is considered as another prior information and according to it an anisotropic total variation (ATV) norm is designed to perform L1-minimization. Meanwhile inherited from the ART+TV method, the prior knowledge of image sparsity is considered as well. With the combination of the two priors, the ART+ATV method shows a high-quality and fast-convergence reconstruction on limited-angle problems.
Starting Page	2232
Ending Page	2238
File Size	584039
Page Count	7
File Format	PDF
ISBN	9781424491063
ISSN	10957863
e-ISBN	9781424491056
DOI	10.1109/NSSMIC.2010.5874180
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-10-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image reconstruction TV Subspace constraints Phantoms Image edge detection Minimization Computed tomography
Content Type	Text
Resource Type	Article

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