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Accurate Sparse-Projection Image Reconstruction via Nonlocal TV Regularization
Joint Authors
Zhou, Ji-Liu
Zhang, Yi
Zhang, Weihua
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-01-27
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Sparse-projection image reconstruction is a useful approach to lower the radiation dose; however, the incompleteness of projection data will cause degeneration of imaging quality.
As a typical compressive sensing method, total variation has obtained great attention on this problem.
Suffering from the theoretical imperfection, total variation will produce blocky effect on smooth regions and blur edges.
To overcome this problem, in this paper, we introduce the nonlocal total variation into sparse-projection image reconstruction and formulate the minimization problem with new nonlocal total variation norm.
The qualitative and quantitative analyses of numerical as well as clinical results demonstrate the validity of the proposed method.
Comparing to other existing methods, our method more efficiently suppresses artifacts caused by low-rank reconstruction and reserves structure information better.
American Psychological Association (APA)
Zhang, Yi& Zhang, Weihua& Zhou, Ji-Liu. 2014. Accurate Sparse-Projection Image Reconstruction via Nonlocal TV Regularization. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1049687
Modern Language Association (MLA)
Zhang, Yi…[et al.]. Accurate Sparse-Projection Image Reconstruction via Nonlocal TV Regularization. The Scientific World Journal No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-1049687
American Medical Association (AMA)
Zhang, Yi& Zhang, Weihua& Zhou, Ji-Liu. Accurate Sparse-Projection Image Reconstruction via Nonlocal TV Regularization. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1049687
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1049687