Dynamic magnetic resonance imaging method based on golden-ratio cartesian sampling and compressed sensing.
文献类型：期刊论文
| 作者 | Gao, Song; Li, Shuo; Zhu, Yanchun; Xie, Yaoqin |
| 刊名 | PLOS ONE
 |
| 出版日期 | 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 |
| 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). |
入库方式： OAI收割
来源：深圳先进技术研究院
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