SCOPE: signal compensation for low-rank plus sparse matrix decomposition for fast parameter mapping

	SCOPE: signal compensation for low-rank plus sparse matrix decomposition for fast parameter mapping
	Liu, Yuanyuan; Ying, Leslie; Zhu, Yanjie; Peng, Xi; Wang, Yi-Xiang J.; Yuan, Jing; Liu, Xin; Liang, Dong
刊名	PHYSICS IN MEDICINE AND BIOLOGY
	2018
文献子类	期刊论文
英文摘要	Magnetic resonance (MR) parameter mapping is useful for many clinical applications. However, its practical utility is limited by the long scan time. To address this problem, this paper developed a novel image reconstruction method for fast MR parameter mapping. The proposed method (SCOPE) used a low-rank plus sparse model to reconstruct the parameter-weighted images from highly undersampled acquisitions. A signal compensation strategy was introduced to promote low rankness along the parametric direction and thus improve the reconstruction accuracy. Specifically, compensation was performed by multiplying the original signal by the inversion of the mono-exponential decay at each voxel. The performance of SCOPE was evaluated via quantitative T-1 rho mapping. The results of the simulation and in vivo experiments with acceleration factors from 3 to 5 are shown. The performance of SCOPE was verified via comparisons with several low-rank and sparsity-based methods. The experimental results showed that the T-1 rho maps obtained using SCOPE were more accurate than those obtained using competing methods and were comparable to the reference, even when the acceleration factor reached 5. SCOPE can greatly reduce the scan time of parameter mapping while still achieving high accuracy. This technique might therefore help facilitate fast MR parameter mapping in clinical use.
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/172644/14342]
专题	深圳先进技术研究院_医工所
推荐引用方式 GB/T 7714	Liu, Yuanyuan,Ying, Leslie,Zhu, Yanjie,et al. SCOPE: signal compensation for low-rank plus sparse matrix decomposition for fast parameter mapping[J]. PHYSICS IN MEDICINE AND BIOLOGY,2018.
APA	Liu, Yuanyuan.,Ying, Leslie.,Zhu, Yanjie.,Peng, Xi.,Wang, Yi-Xiang J..,...&Liang, Dong.(2018).SCOPE: signal compensation for low-rank plus sparse matrix decomposition for fast parameter mapping.PHYSICS IN MEDICINE AND BIOLOGY.
MLA	Liu, Yuanyuan,et al."SCOPE: signal compensation for low-rank plus sparse matrix decomposition for fast parameter mapping".PHYSICS IN MEDICINE AND BIOLOGY (2018).