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	Parameter Optimization of Wave-CAIPI Based on Theoretical Analysis
	Zhilang Qiu; Haifeng Wang; Leslie Ying; Xin Liu; Dong Liang
	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
内容类型	会议论文
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.

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