SCOPE-T1ρ: Signal Compensation for Low-rank Plus Sparse Matrix Decomposition for Fast T1ρ Mapping
文献类型：会议论文
| 作者 | Yuanyuan Liu; Yanjie Zhu; Leslie Ying; Yi-Xiang J Wang; Jing Yuan; 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 | Quantitative T1ρ mapping typically requires the acquisition of multiple images with different spin-lock times, which greatly prolongs the scanning time, limiting its clinical applications. We developed a novel reconstruction method using a low-rank plus sparse model to obtain the parameter-weighted images from highly undersampled k-space data. This method exploited both the parameter-weighted image properties and priori information from the parameter model. Specifically, a signal compensation strategy was introduced to promote the low rankness along the parametric direction. The proposed method achieved a five-fold acceleration in the acquisition time and obtained more accurate T1ρ maps than the existing methods. |
| URL标识 | 查看原文 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/14555]  |
| 专题 | 深圳先进技术研究院_医工所 |
| 推荐引用方式 GB/T 7714 | Yuanyuan Liu,Yanjie Zhu,Leslie Ying,et al. SCOPE-T1ρ: Signal Compensation for Low-rank Plus Sparse Matrix Decomposition for Fast T1ρ Mapping[C]. 见:. 巴黎. 2018年. |
入库方式： OAI收割
来源：深圳先进技术研究院
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。