Parameter Optimization of Wave-CAIPI Based on Theoretical Analysis
文献类型：会议论文
| 作者 | Zhilang Qiu; Haifeng Wang; 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 | Wave-CAIPI is an novel 3D imaging technique with corkscrew trajectory in k-space to reduce g-factor penalty and speed up MRI acquisitions. The sinusoidal gradient parameters of Wave-CAIPI, amplitude and cycles, play an important role since they determine the point spread function of the trajectory and thus the final reconstruction. However, how to choose the optimal sinusoidal gradient parameters which leads to the minimal g-factor has not been exploited. In this work, we theoretically analyzed the influence of the sinusoidal gradient parameters on g-factor. An optimization algorithm which can be automatically conducted is then proposed to optimize these parameters for achieving minimal g-factor penalty. The simulations show that using the optimized sinusoidal gradient parameters can achieve lower g-factor penalty in Wave-CAIPI reconstructions. |
| URL标识 | 查看原文 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/14553]  |
| 专题 | 深圳先进技术研究院_医工所 |
| 推荐引用方式 GB/T 7714 | Zhilang Qiu,Haifeng Wang,Leslie Ying,et al. Parameter Optimization of Wave-CAIPI Based on Theoretical Analysis[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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