Abstract:
:Frame-based regularization method as one kind of sparsity representation method has been developed in recent years and has been proved to be an efficient method for CT image reconstruction. However, most of the developed CT image reconstruction methods are analysis-based frame methods. This paper proposes a novel frame-based balanced hybrid model with two sparse regularization terms for CT image reconstruction. We generalize the fast alternating direction method to solve the proposed model so that every subproblem can be easily solved. The numerical experiments suggest that the proposed hybrid balanced-based wavelet regularization scheme is efficient in terms of reducing the defined reconstruction root mean squared error and improving the signal to noise ratio in CT image reconstruction.
journal_name
J Healthc Engjournal_title
Journal of healthcare engineeringauthors
Zhou W,Xiang Hdoi
10.1155/2017/1417270subject
Has Abstractpub_date
2017-01-01 00:00:00pages
1417270eissn
2040-2295issn
2040-2309journal_volume
2017pub_type
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journal_title:Journal of healthcare engineering
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journal_title:Journal of healthcare engineering
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