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MR Image Reconstruction Based on Iterative Split Bregman Algorithm and Nonlocal Total Variation
Joint Authors
Babyn, Paul
Gopi, Varun P.
Wahid, Khan A.
Palanisamy, P.
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-08-12
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
This paper introduces an efficient algorithm for magnetic resonance (MR) image reconstruction.
The proposed method minimizes a linear combination of nonlocal total variation and least-square data-fitting term to reconstruct the MR images from undersampled k-space data.
The nonlocal total variation is taken as the L1-regularization functional and solved using Split Bregman iteration.
The proposed algorithm is compared with previous methods in terms of the reconstruction accuracy and computational complexity.
The comparison results demonstrate the superiority of the proposed algorithm for compressed MR image reconstruction.
American Psychological Association (APA)
Gopi, Varun P.& Palanisamy, P.& Wahid, Khan A.& Babyn, Paul. 2013. MR Image Reconstruction Based on Iterative Split Bregman Algorithm and Nonlocal Total Variation. Computational and Mathematical Methods in Medicine،Vol. 2013, no. 2013, pp.1-16.
https://search.emarefa.net/detail/BIM-513745
Modern Language Association (MLA)
Gopi, Varun P.…[et al.]. MR Image Reconstruction Based on Iterative Split Bregman Algorithm and Nonlocal Total Variation. Computational and Mathematical Methods in Medicine No. 2013 (2013), pp.1-16.
https://search.emarefa.net/detail/BIM-513745
American Medical Association (AMA)
Gopi, Varun P.& Palanisamy, P.& Wahid, Khan A.& Babyn, Paul. MR Image Reconstruction Based on Iterative Split Bregman Algorithm and Nonlocal Total Variation. Computational and Mathematical Methods in Medicine. 2013. Vol. 2013, no. 2013, pp.1-16.
https://search.emarefa.net/detail/BIM-513745
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-513745