Dynamic magnetic resonance imaging method based on golden-ratio cartesian sampling and compressed sensing.

	Dynamic magnetic resonance imaging method based on golden-ratio cartesian sampling and compressed sensing.
	Gao, Song; Li, Shuo; Zhu, Yanchun; Xie, Yaoqin
刊名	PLOS ONE
	2018
文献子类	期刊论文
英文摘要	Dynamic magnetic resonance imaging (DMRI) is used to noninvasively trace the movements of organs and the process of drug delivery. The results can provide quantitative or semiquantitative pathology-related parameters, thus giving DMRI great potential for clinical applications. However, conventional DMRI techniques suffer from low temporal resolution and long scan time owing to the limitations of the k-space sampling scheme and image reconstruction algorithm. In this paper, we propose a novel DMRI sampling scheme based on a golden-ratio Cartesian trajectory in combination with a compressed sensing reconstruction algorithm. The results of two simulation experiments, designed according to the two major DMRI techniques, showed that the proposed method can improve the temporal resolution and shorten the scan time and provide high-quality reconstructed images.
URL标识	查看原文
语种	英语
内容类型	期刊论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/14234]
专题	深圳先进技术研究院_医工所
推荐引用方式 GB/T 7714	Gao, Song,Li, Shuo,Zhu, Yanchun,et al. Dynamic magnetic resonance imaging method based on golden-ratio cartesian sampling and compressed sensing.[J]. PLOS ONE,2018.
APA	Gao, Song,Li, Shuo,Zhu, Yanchun,&Xie, Yaoqin.(2018).Dynamic magnetic resonance imaging method based on golden-ratio cartesian sampling and compressed sensing..PLOS ONE.
MLA	Gao, Song,et al."Dynamic magnetic resonance imaging method based on golden-ratio cartesian sampling and compressed sensing.".PLOS ONE (2018).