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	Nonlinear GRAPPA Reconstruction with Virtual Coil Conception
	Haifeng Wang; Yuchou Chang; Leslie Ying; Xin Liu; Dong Liang
	2018
会议日期	2018年
会议地点	巴黎
英文摘要	Nonlinear GRAPPA is a kernel-based approach for improving parallel imaging reconstruction, by reducing noise-induced error. Virtual coil conception has been applied into the reconstruction process for parallel acquisitions, by generating virtual coils containing conjugate symmetric k-space signals from actual multiple-channel coils. In this work, we proposed a hybrid method to combine nonlinear GRAPPA and virtual coil conception for incorporating additional image- and coil-phase information into the reconstruction process. The experiments of in vivo human brain data show that the proposed method can reduce more noise and artifacts than the traditional GRAPPA and original Nonlinear GRAPPA methods.
URL标识	查看原文
内容类型	会议论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/14559]
专题	深圳先进技术研究院_医工所
推荐引用方式 GB/T 7714	Haifeng Wang,Yuchou Chang,Leslie Ying,et al. Nonlinear GRAPPA Reconstruction with Virtual Coil Conception[C]. 见:. 巴黎. 2018年.

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