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	Parallel variable-density spiral imaging using nonlocal total variation reconstruction
	Fang S(方晟) ; Guo H(郭华) ; Fang Sheng ; Guo Hua
	2016-03-30 ; 2016-03-30
关键词	magnetic resonance imaging variable-density spiral parallel imaging nonlocal total variation O415
其他题名	Parallel variable-density spiral imaging using nonlocal total variation reconstruction
中文摘要	The relatively long scan time is still a bottleneck for both clinical applications and research of magnetic resonance imaging. To reduce the data acquisition time, we propose a novel fast magnetic resonance imaging method based on parallel variable-density spiral acquisition, which combines undersampling optimization and nonlocal total variation reconstruction.The undersampling optimization promotes the incoherence of resultant aliasing artifact via the "worst-case" residual error metric, and thus accelerates the data acquisition. Moreover, nonlocal total variation reconstruction is utilized to remove such an incoherent aliasing artifact and so improve image quality. The feasibility of the proposed method is demonstrated by both numerical phantom simulation and in vivo experiment. The experimental results show that the proposed method can achieve high acceleration factor and effectively remove an aliasing artifact from data undersampling with well-preserved image details. The image quality is better than that achieved with the total variation method.; The relatively long scan time is still a bottleneck for both clinical applications and research of magnetic resonance imaging. To reduce the data acquisition time, we propose a novel fast magnetic resonance imaging method based on parallel variable-density spiral acquisition, which combines undersampling optimization and nonlocal total variation reconstruction.The undersampling optimization promotes the incoherence of resultant aliasing artifact via the "worst-case" residual error metric, and thus accelerates the data acquisition. Moreover, nonlocal total variation reconstruction is utilized to remove such an incoherent aliasing artifact and so improve image quality. The feasibility of the proposed method is demonstrated by both numerical phantom simulation and in vivo experiment. The experimental results show that the proposed method can achieve high acceleration factor and effectively remove an aliasing artifact from data undersampling with well-preserved image details. The image quality is better than that achieved with the total variation method.
语种	英语 ; 英语
内容类型	期刊论文
源URL	[http://ir.lib.tsinghua.edu.cn/ir/item.do?handle=123456789/143992]
专题	清华大学
推荐引用方式 GB/T 7714	Fang S,Guo H,Fang Sheng,et al. Parallel variable-density spiral imaging using nonlocal total variation reconstruction[J],2016, 2016.
APA	方晟,郭华,Fang Sheng,&Guo Hua.(2016).Parallel variable-density spiral imaging using nonlocal total variation reconstruction..
MLA	方晟,et al."Parallel variable-density spiral imaging using nonlocal total variation reconstruction".(2016).

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