Sparse-Representation-Based Direct Minimum Lp-Norm Algorithm for MRI Phase Unwrapping
Joint Authors
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-03-25
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
A sparse-representation-based direct minimum Lp-norm algorithm is proposed for a two-dimensional MRI phase unwrapping.
First, the algorithm converts the weighted-Lp-norm-minimization-based phase unwrapping problem into a linear system problem whose system (coefficient) matrix is a large, symmetric one.
Then, the coefficient-matrix is represented in the sparse structure.
Finally, standard direct solvers are employed to solve this linear system.
Several wrapped phase datasets, including simulated and MR data, were used to evaluate this algorithm’s performance.
The results demonstrated that the proposed algorithm for unwrapping MRI phase data is reliable and robust.
American Psychological Association (APA)
He, Wei& Xia, Ling& Liu, Feng. 2014. Sparse-Representation-Based Direct Minimum Lp-Norm Algorithm for MRI Phase Unwrapping. Computational and Mathematical Methods in Medicine،Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-448324
Modern Language Association (MLA)
He, Wei…[et al.]. Sparse-Representation-Based Direct Minimum Lp-Norm Algorithm for MRI Phase Unwrapping. Computational and Mathematical Methods in Medicine No. 2014 (2014), pp.1-11.
https://search.emarefa.net/detail/BIM-448324
American Medical Association (AMA)
He, Wei& Xia, Ling& Liu, Feng. Sparse-Representation-Based Direct Minimum Lp-Norm Algorithm for MRI Phase Unwrapping. Computational and Mathematical Methods in Medicine. 2014. Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-448324
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-448324