中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Accelerated magnetic resonance imaging using the sparsity of multi-channel coil images

文献类型:期刊论文

作者Xie Guoxi; Song Yibiao; Shi Caiyun; Feng Xiang; Zheng Hairong; Weng Dehe; Qiu Bensheng; Liu Xin
刊名MAGNETIC RESONANCE IMAGING
出版日期2014
英文摘要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.
收录类别SCI
原文出处http://www.sciencedirect.com/science/article/pii/S0730725X1300338X?np=y
语种英语
源URL[http://ir.siat.ac.cn:8080/handle/172644/5759]  
专题深圳先进技术研究院_医工所
作者单位MAGNETIC RESONANCE IMAGING
推荐引用方式
GB/T 7714
Xie Guoxi,Song Yibiao,Shi Caiyun,et al. Accelerated magnetic resonance imaging using the sparsity of multi-channel coil images[J]. MAGNETIC RESONANCE IMAGING,2014.
APA Xie Guoxi.,Song Yibiao.,Shi Caiyun.,Feng Xiang.,Zheng Hairong.,...&Liu Xin.(2014).Accelerated magnetic resonance imaging using the sparsity of multi-channel coil images.MAGNETIC RESONANCE IMAGING.
MLA Xie Guoxi,et al."Accelerated magnetic resonance imaging using the sparsity of multi-channel coil images".MAGNETIC RESONANCE IMAGING (2014).

入库方式: OAI收割

来源:深圳先进技术研究院

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