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Indexed by:期刊论文

Date of Publication:2014-09-01

Journal:MAGNETIC RESONANCE IMAGING

Included Journals:SCIE、PubMed、Scopus

Volume:32

Issue:7

Page Number:924-933

ISSN No.:0730-725X

Key Words:MRI; Compressed Sensing; l1-SPIRiT; Walsh transform

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. (C) 2014 Elsevier Inc. All rights reserved.