Sparse-representation-based direct minimum Lp-norm algorithm for MRI phase unwrapping

He, Wei, Xia, Ling and Liu, Feng (2014) Sparse-representation-based direct minimum Lp-norm algorithm for MRI phase unwrapping. Computational and Mathematical Methods in Medicine, 2014 1-11. doi:10.1155/2014/134058


Author He, Wei
Xia, Ling
Liu, Feng
Title Sparse-representation-based direct minimum Lp-norm algorithm for MRI phase unwrapping
Formatted title
Sparse-representation-based direct minimum Lp-norm algorithm for MRI phase unwrapping
Journal name Computational and Mathematical Methods in Medicine   Check publisher's open access policy
ISSN 1748-670X
1748-6718
Publication date 2014
Year available 2014
Sub-type Article (original research)
DOI 10.1155/2014/134058
Open Access Status DOI
Volume 2014
Start page 1
End page 11
Total pages 11
Place of publication New York, NY United States
Publisher Hindawi Publishing Corporation
Collection year 2015
Language eng
Formatted abstract
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.
Keyword Images
Venography
Systems
Model
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2015 Collection
School of Information Technology and Electrical Engineering Publications
 
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