Learning Joint-Space Codes for Calibration-Free Parallel MR Imaging.
文献类型：期刊论文
| 作者 | Liu, Yuanyuan; Zheng, Hairong; Liang, Dong; Wang, Shanshan; Tan, Sha; Gao, Yuan; Liu, Qiegen; Ying, Leslie; Xiao, Taohui; Liu, Xin |
| 刊名 | IEEE TRANSACTIONS ON MEDICAL IMAGING
 |
| 出版日期 | 2018 |
| 文献子类 | 期刊论文 |
| 英文摘要 | The integration of compressed sensing and parallel imaging (CS-PI) has shown an increased popularity in recent years to accelerate magnetic resonance (MR) imaging. Among them, calibration-free techniques have presented encouraging performances due to its capability in robustly handling the sensitivity information. Unfortunately, existing calibration-free methods have only explored joint-sparsity with direct analysis transform projections. To further exploit joint-sparsity and improve reconstruction accuracy, this paper proposes to Learn joINt-sparse coDes for caliBration-free parallEl mR imaGing (LINDBERG) by modeling the parallel MR imaging problem as an l(2)-l(F)-l(2,1) minimization objective with an l(2) norm constraining data fidelity, Frobenius norm enforcing sparse representation error and the l(2,1) mixed norm triggering joint sparsity across multichannels. A corresponding algorithm has been developed to alternatively update the sparse representation, sensitivity encoded images and K-space data. Then, the final image is produced as the square root of sum of squares of all channel images. Experimental results on both physical phantom and in vivo data sets show that the proposed method is comparable and even superior to state-of-the-art CS-PI reconstruction approaches. Specifically, LINDBERG has presented strong capability in suppressing noise and artifacts while reconstructing MR images from highly undersampled multichannel measurements. |
| URL标识 | 查看原文 |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/14304]  |
| 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,Zheng, Hairong,Liang, Dong,et al. Learning Joint-Space Codes for Calibration-Free Parallel MR Imaging.[J]. IEEE TRANSACTIONS ON MEDICAL IMAGING,2018. |
| APA | Liu, Yuanyuan.,Zheng, Hairong.,Liang, Dong.,Wang, Shanshan.,Tan, Sha.,...&Liu, Xin.(2018).Learning Joint-Space Codes for Calibration-Free Parallel MR Imaging..IEEE TRANSACTIONS ON MEDICAL IMAGING. |
| MLA | Liu, Yuanyuan,et al."Learning Joint-Space Codes for Calibration-Free Parallel MR Imaging.".IEEE TRANSACTIONS ON MEDICAL IMAGING (2018). |
入库方式： OAI收割
来源：深圳先进技术研究院
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