中国科学院深圳先进技术研究院机构知识库(SIAT OpenIR): Accelerating Dynamic Cardiac MR Imaging Using Structured Sparse Representation
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Accelerating Dynamic Cardiac MR Imaging Using Structured Sparse Representation
Nian Cai; Shengru Wang; Shasha Zhu; Dong Liang
2013
Source PublicationCOMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE
Subtype期刊论文
AbstractCompressed sensing (CS) has produced promising results on dynamic cardiac MR imaging by exploiting the sparsity in image series. In this paper, we propose a new method to improve the CS reconstruction for dynamic cardiac MRI based on the theory of structured sparse representation. The proposed method user the PCA subdictionaries for adaptive sparse representation and suppresses the sparse coding noise to obtain good reconstructions. An accelerated iterative shrinkage algorithm is used to solve the optimization problem and achieve a fast convergence rate. Experimental results demonstrate that the proposed method improves the reconstruction quality of dynamic cardiac cine MRI over the state-of-the-art CS method.
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Indexed BySCI
Language英语
Department保罗·C·劳特伯生物医学成像研究中心
Document Type期刊论文
Identifierhttp://ir.siat.ac.cn/handle/172644/4771
Collection医工所
AffiliationCOMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE
Recommended Citation
GB/T 7714
Nian Cai,Shengru Wang,Shasha Zhu,et al. Accelerating Dynamic Cardiac MR Imaging Using Structured Sparse Representation[J]. COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE,2013.
APA Nian Cai,Shengru Wang,Shasha Zhu,&Dong Liang.(2013).Accelerating Dynamic Cardiac MR Imaging Using Structured Sparse Representation.COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE.
MLA Nian Cai,et al."Accelerating Dynamic Cardiac MR Imaging Using Structured Sparse Representation".COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE (2013).
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