A kernel approach to compressed sensing parallel MRI
文献类型：会议论文
| 作者 | Yuchou Chang; King, K.F.; Dong Liang; Yong Wang; Ying, L |
| 出版日期 | 2012 |
| 会议名称 | 9th IEEE International Symposium on Biomedical Imaging (ISBI) |
| 会议地点 | 西班牙 |
| 英文摘要 | Compressed sensing (CS) and parallel imaging (PI) have been widely studied for accelerating MRI reconstruction. Furthermore, the serial combination methods of CS and PI have been proposed for even higher speed of reconstruction. However, both reconstructed signals by CS and PI are not as accurate as acquired MR signals, so that errors of CS reconstruction as the first step will be propagated and even amplified to deteriorate PI reconstruction quality in the second step. Based on our previous work - nonlinear GRAPPA (NLGRAPPA), we proposed a novel serial combination of CS and NLGRAPPA (CS-NLGRAPPA) reconstruction. The generalized kernel regression model of NLGRAPPA can remove error effects of inaccurate signal reconstruction by CS. Experimental results using phantom and in vivo data demonstrate that the proposed CS-NLGRAPPA method can significantly improve the reconstruction quality over the existing method and push net reduction factor around 4. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/4069]  |
| 专题 | 深圳先进技术研究院_医工所 |
| 作者单位 | 2012 |
| 推荐引用方式 GB/T 7714 | Yuchou Chang,King, K.F.,Dong Liang,et al. A kernel approach to compressed sensing parallel MRI[C]. 见:9th IEEE International Symposium on Biomedical Imaging (ISBI). 西班牙. |
入库方式： OAI收割
来源：深圳先进技术研究院
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