title: Accelerated magnetic resonance imaging using the sparsity of multi-channel coil images.
abstract: Joint estimation of coil sensitivities and output image (JSENSE) is a promising approach that improves the reconstruction of parallel magnetic resonance imaging (pMRI). However, when acceleration factor increases, the signal to noise ratio (SNR) of JSENSE reconstruction decreases as quickly as that of the conventional pMRI. Although sparse constraints have been used to improve the JSENSE reconstruction in recent years, these constraints only use the sparsity of the output image, which cannot fully exploit the prior information of pMRI. In this paper, we use the sparsity of coil images, instead of the output image, to exploit more prior information for JSENSE. Numerical simulation, phantom and in vivo experiments demonstrate that the proposed method has better performance than the SparseSENSE method and the constrained JSENSE method using the sparsity of the output image only.
authors.affiliation: Shenzhen Key Lab for MRI, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China. Electronic address: gx.xie@siat.ac.cn.
authors.forename: Guoxi
authors.initials: G
authors.lastname: Xie
authors.affiliation: Shenzhen Key Lab for MRI, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China.
authors.forename: Yibiao
authors.initials: Y
authors.lastname: Song
authors.affiliation: Shenzhen Key Lab for MRI, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China.
authors.forename: Caiyun
authors.initials: C
authors.lastname: Shi
authors.affiliation: Shenzhen Key Lab for MRI, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China.
authors.forename: Xiang
authors.initials: X
authors.lastname: Feng
authors.affiliation: Shenzhen Key Lab for MRI, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China.
authors.forename: Hairong
authors.initials: H
authors.lastname: Zheng
authors.affiliation: Siemens Mindit Magnetic Resonance Ltd., Shenzhen, China.
authors.forename: Dehe
authors.initials: D
authors.lastname: Weng
authors.affiliation: Shenzhen Key Lab for MRI, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China; University of Science and Technology of China, Hefei, China.
authors.forename: Bensheng
authors.initials: B
authors.lastname: Qiu
authors.affiliation: Shenzhen Key Lab for MRI, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China. Electronic address: xin.liu@siat.ac.cn.
authors.forename: Xin
authors.initials: X
authors.lastname: Liu
mesh_terms: D000465:Algorithms; D001921:Brain / Q000502:physiology*; D003198:Computer Simulation; D005583:Fourier Analysis; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008962:Models, Theoretical; D019047:Phantoms, Imaging; D012984:Software
keywords: Compressed sensing; JSENSE; Parallel MRI