Improved l1-SPIRiT using 3D walsh transform-based sparsity basis

Feng, Zhen, Liu, Feng, Jiang, Mingfeng, Crozier, Stuart, Guo, He and Wang, Yuxin (2014) Improved l1-SPIRiT using 3D walsh transform-based sparsity basis. Magnetic Resonance Imaging, 32 7: 924-933. doi:10.1016/j.mri.2014.04.008

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Author Feng, Zhen
Liu, Feng
Jiang, Mingfeng
Crozier, Stuart
Guo, He
Wang, Yuxin
Title Improved l1-SPIRiT using 3D walsh transform-based sparsity basis
Journal name Magnetic Resonance Imaging   Check publisher's open access policy
ISSN 1873-5894
Publication date 2014-09
Year available 2014
Sub-type Article (original research)
DOI 10.1016/j.mri.2014.04.008
Open Access Status
Volume 32
Issue 7
Start page 924
End page 933
Total pages 10
Place of publication Philadelphia PA, United States
Publisher Elsevier
Collection year 2015
Language eng
Abstract l1-SPIRiT is a fast magnetic resonance imaging (MRI) method which combines parallel imaging (PI) with compressed sensing (CS) by performing a joint l1-norm and l2-norm optimization procedure. The original l1-SPIRiT method uses two-dimensional (2D) Wavelet transform to exploit the intra-coil data redundancies and a joint sparsity model to exploit the inter-coil data redundancies. In this work, we propose to stack all the coil images into a three-dimensional (3D) matrix, and then a novel 3D Walsh transform-based sparsity basis is applied to simultaneously reduce the intra-coil and inter-coil data redundancies. Both the 2D Wavelet transform-based and the proposed 3D Walsh transform-based sparsity bases were investigated in the l1-SPIRiT method. The experimental results show that the proposed 3D Walsh transform-based l1-SPIRiT method outperformed the original l1-SPIRiT in terms of image quality and computational efficiency.
Keyword MRI
Compressed Sensing
Walsh transform
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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Citation counts: TR Web of Science Citation Count  Cited 3 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 4 times in Scopus Article | Citations
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