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
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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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