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Undersampled MR Image Reconstruction with Data-Driven Tight Frame
Joint Authors
Liang, Dong
Peng, Xi
Liu, Jianbo
Wang, Shanshan
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-06-24
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Undersampled magnetic resonance image reconstruction employing sparsity regularization has fascinated many researchers in recent years under the support of compressed sensing theory.
Nevertheless, most existing sparsity-regularized reconstruction methods either lack adaptability to capture the structure information or suffer from high computational load.
With the aim of further improving image reconstruction accuracy without introducing too much computation, this paper proposes a data-driven tight frame magnetic image reconstruction (DDTF-MRI) method.
By taking advantage of the efficiency and effectiveness of data-driven tight frame, DDTF-MRI trains an adaptive tight frame to sparsify the to-be-reconstructed MR image.
Furthermore, a two-level Bregman iteration algorithm has been developed to solve the proposed model.
The proposed method has been compared to two state-of-the-art methods on four datasets and encouraging performances have been achieved by DDTF-MRI.
American Psychological Association (APA)
Liu, Jianbo& Wang, Shanshan& Peng, Xi& Liang, Dong. 2015. Undersampled MR Image Reconstruction with Data-Driven Tight Frame. Computational and Mathematical Methods in Medicine،Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1057897
Modern Language Association (MLA)
Liu, Jianbo…[et al.]. Undersampled MR Image Reconstruction with Data-Driven Tight Frame. Computational and Mathematical Methods in Medicine No. 2015 (2015), pp.1-10.
https://search.emarefa.net/detail/BIM-1057897
American Medical Association (AMA)
Liu, Jianbo& Wang, Shanshan& Peng, Xi& Liang, Dong. Undersampled MR Image Reconstruction with Data-Driven Tight Frame. Computational and Mathematical Methods in Medicine. 2015. Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1057897
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1057897