A new particle swarm optimization-based method for phase unwrapping of MRI data

He, Wei, Cheng, Yiyuan, Xia, Ling and Liu, Feng (2012) A new particle swarm optimization-based method for phase unwrapping of MRI data. Computational and Mathematical Methods in Medicine, 2012 475745.1-475745.9. doi:10.1155/2012/475745


Author He, Wei
Cheng, Yiyuan
Xia, Ling
Liu, Feng
Title A new particle swarm optimization-based method for phase unwrapping of MRI data
Journal name Computational and Mathematical Methods in Medicine   Check publisher's open access policy
ISSN 1748-670X
1748-6718
Publication date 2012-01
Sub-type Article (original research)
DOI 10.1155/2012/475745
Volume 2012
Start page 475745.1
End page 475745.9
Total pages 9
Place of publication New York, NY, United States
Publisher Hindawi Publishing Corporation
Collection year 2013
Language eng
Abstract A new method based on discrete particle swarm optimization (dPSO) algorithm is proposed to solve the branch-cut phase unwrapping problem of MRI data. In this method, the optimal order of matching the positive residues with the negative residues is first identified by the dPSO algorithm, then the branch cuts are placed to join each pair of the opposite polarity residues, and in the last step phases are unwrapped by flood-fill algorithm. The performance of the proposed algorithm was tested on both simulated phase image and MRI wrapped phase data sets. The results demonstrated that, compared with conventionally used branch-cut phase unwrapping algorithms, the dPSO algorithm is rather robust and effective.
Keyword Algorithm
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2013 Collection
School of Information Technology and Electrical Engineering Publications
 
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