Nonlinear GRAPPA Reconstruction with Virtual Coil Conception
文献类型：会议论文
| 作者 | Haifeng Wang; Yuchou Chang; Leslie Ying; Xin Liu; Dong Liang |
| 出版日期 | 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 |
| 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. |
入库方式： OAI收割
来源：深圳先进技术研究院
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