Iterative feature refinement for accurate undersampled MR image reconstruction

	Iterative feature refinement for accurate undersampled MR image reconstruction
	Wang, Shanshan; Liu, Jianbo; Liu, Qiegen; Ying, Leslie; Liu, Xin; Zheng, Hairong; Liang, Dong
刊名	PHYSICS IN MEDICINE AND BIOLOGY
	2016
英文摘要	Accelerating MR scan is of great significance for clinical, research and advanced applications, and one main effort to achieve this is the utilization of compressed sensing (CS) theory. Nevertheless, the existing CSMRI approaches still have limitations such as fine structure loss or high computational complexity. This paper proposes a novel iterative feature refinement (IFR) module for accurate MR image reconstruction fromundersampled K-space data. Integrating IFR with CSMRI which is equipped with fixed transforms, we develop an IFR-CS method to restore meaningful structures and details that are originally discarded without introducing too much additional complexity. Specifically, the proposed IFR-CS is realized with three iterativesteps, namely sparsity-promoting denoising, feature refinement and Tikhonov regularization. Experimental results on both simulated and in vivo MR datasets have shown that the proposed module has a strong capability to capture image details, and that IFR-CS is comparable and even superior to other state-of-the-art reconstruction approaches.
收录类别	SCI
原文出处	http://iopscience.iop.org/article/10.1088/0031-9155/61/9/3291/meta
语种	英语
内容类型	期刊论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/10454]
专题	深圳先进技术研究院_医工所
作者单位	PHYSICS IN MEDICINE AND BIOLOGY
推荐引用方式 GB/T 7714	Wang, Shanshan,Liu, Jianbo,Liu, Qiegen,et al. Iterative feature refinement for accurate undersampled MR image reconstruction[J]. PHYSICS IN MEDICINE AND BIOLOGY,2016.
APA	Wang, Shanshan.,Liu, Jianbo.,Liu, Qiegen.,Ying, Leslie.,Liu, Xin.,...&Liang, Dong.(2016).Iterative feature refinement for accurate undersampled MR image reconstruction.PHYSICS IN MEDICINE AND BIOLOGY.
MLA	Wang, Shanshan,et al."Iterative feature refinement for accurate undersampled MR image reconstruction".PHYSICS IN MEDICINE AND BIOLOGY (2016).