Accelerating Dynamic Cardiac MR Imaging Using Structured Sparse Representation

	Accelerating Dynamic Cardiac MR Imaging Using Structured Sparse Representation
	Nian Cai; Shengru Wang; Shasha Zhu; Dong Liang
刊名	COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE
	2013
英文摘要	Compressed 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.
收录类别	SCI
原文出处	http://www.hindawi.com/journals/cmmm/2013/160139/
语种	英语
内容类型	期刊论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/4771]
专题	深圳先进技术研究院_医工所
作者单位	COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE
推荐引用方式 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).