NUFFT-Based Iterative Image Reconstruction via Alternating Direction Total Variation Minimization for Sparse-View CT
Joint Authors
Cai, Ailong
Zhang, Hanming
Jin, Zhao
Li, Lei
Yan, Bin
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-05-18
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Sparse-view imaging is a promising scanning method which can reduce the radiation dose in X-ray computed tomography (CT).
Reconstruction algorithm for sparse-view imaging system is of significant importance.
The adoption of the spatial iterative algorithm for CT image reconstruction has a low operation efficiency and high computation requirement.
A novel Fourier-based iterative reconstruction technique that utilizes nonuniform fast Fourier transform is presented in this study along with the advanced total variation (TV) regularization for sparse-view CT.
Combined with the alternating direction method, the proposed approach shows excellent efficiency and rapid convergence property.
Numerical simulations and real data experiments are performed on a parallel beam CT.
Experimental results validate that the proposed method has higher computational efficiency and better reconstruction quality than the conventional algorithms, such as simultaneous algebraic reconstruction technique using TV method and the alternating direction total variation minimization approach, with the same time duration.
The proposed method appears to have extensive applications in X-ray CT imaging.
American Psychological Association (APA)
Yan, Bin& Jin, Zhao& Zhang, Hanming& Li, Lei& Cai, Ailong. 2015. NUFFT-Based Iterative Image Reconstruction via Alternating Direction Total Variation Minimization for Sparse-View CT. Computational and Mathematical Methods in Medicine،Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1057975
Modern Language Association (MLA)
Yan, Bin…[et al.]. NUFFT-Based Iterative Image Reconstruction via Alternating Direction Total Variation Minimization for Sparse-View CT. Computational and Mathematical Methods in Medicine No. 2015 (2015), pp.1-9.
https://search.emarefa.net/detail/BIM-1057975
American Medical Association (AMA)
Yan, Bin& Jin, Zhao& Zhang, Hanming& Li, Lei& Cai, Ailong. NUFFT-Based Iterative Image Reconstruction via Alternating Direction Total Variation Minimization for Sparse-View CT. Computational and Mathematical Methods in Medicine. 2015. Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1057975
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1057975