Under-sampling Trajectory Design for Compressed Sensing MRI
文献类型：会议论文
| 作者 | Duanduan Liu; Dong Liang; Xin Liu; Y uan-ting Zhang |
| 出版日期 | 2012 |
| 会议名称 | 34th Annual International Conference of the IEEE Engineering-in-Medicine-and-Biology-Society (EMBS) |
| 会议地点 | San Diego, CA, United states |
| 英文摘要 | The under-sampling trajectory design plays a key role in compressed sensing MRI. The traditional design scheme using probability density function (PDF) is based up observation on energy distribution in k-space rather than systematic optimization, which results in non-deterministic trajectory even with a fixed PDF. Guidance-based method like Bayesian inference scheme is always bothered with high computational complexity on entropy. In this paper, we study how to adaptively design an under-sampling trajectory in the context of CS with systematic optimization and small complexity. Simulation results conducted on images from different slices and dynamic sequence demonstrate the effectiveness of the proposed method by comparing the designed trajectory with those by traditional method. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/4066]  |
| 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 | Duanduan Liu,Dong Liang,Xin Liu,et al. Under-sampling Trajectory Design for Compressed Sensing MRI[C]. 见:34th Annual International Conference of the IEEE Engineering-in-Medicine-and-Biology-Society (EMBS). San Diego, CA, United states. |
入库方式： OAI收割
来源：深圳先进技术研究院
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