Journal article
SCOPE: signal compensation for low-rank plus sparse matrix decomposition for fast parameter mapping
Physics in medicine & biology, Vol.63(18), pp.185009-185009
09/13/2018
DOI: 10.1088/1361-6560/aadb09
PMID: 30117434
Abstract
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.
Details
- Title: Subtitle
- SCOPE: signal compensation for low-rank plus sparse matrix decomposition for fast parameter mapping
- Creators
- Yanjie Zhu - Beth Israel Deaconess Medical CenterYuanyuan Liu - Shenzhen Institutes of Advanced TechnologyLeslie Ying - State University of New YorkXi Peng - Chinese Acad Sci, Shenzhen Inst Adv Technol, Paul C Lauterbur Res Ctr Biomed Imaging, Shenzhen, Guangdong, Peoples R ChinaYi-Xiang J. Wang - Chinese University of Hong KongJing Yuan - Hong Kong Sanatorium and HospitalXin Liu - Shenzhen Institutes of Advanced TechnologyDong Liang - Shenzhen Institutes of Advanced Technology
- Resource Type
- Journal article
- Publication Details
- Physics in medicine & biology, Vol.63(18), pp.185009-185009
- Publisher
- Iop Publishing Ltd
- DOI
- 10.1088/1361-6560/aadb09
- PMID
- 30117434
- ISSN
- 0031-9155
- eISSN
- 1361-6560
- Number of pages
- 16
- Grant note
- 61771463; 81830056; 61471350; 61671441 / National Natural Science Foundation of China; National Natural Science Foundation of China (NSFC) JCYJ20150831154213680; JCYJ20150630114942318 / Basic Research Program of Shenzhen 2015A030313740 / Natural Science Foundation of Guangdong; National Natural Science Foundation of Guangdong Province 2017YFC0108802; 2016YFC0100103 / National Key R&D Program of China
- Language
- English
- Date published
- 09/13/2018
- Academic Unit
- Radiology
- Record Identifier
- 9984446454602771
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