Investigation of convolutional neural network based deep learning for cardiac imaging
文献类型：会议论文
| 作者 | Shanshan Wang; Ziwen Ke; Huitao Cheng; Leslie Ying; Xin liu; Hairong Zheng; Dong Liang |
| 出版日期 | 2018 |
| 会议日期 | 2018 |
| 会议地点 | 法国巴黎 |
| 英文摘要 | Deep learning based fast MR imaging has been very popular lately. Nevertheless, the empirical nature of existing approaches still leave quite a few questions open. To answer this, this paper designs different convolutional neural networks to investigate various factors, such as direct CNN mapping, noise stimulation, data consistency and data sharing, for deep learning based cardiac imaging. We find out that if K-space manipulation strategy is not adopted, CNN still needs dedicated sampling patterns or more complicated structures to remove global corruptions. Furthermore, K-space updating strategy are encouraged to be incorporated with deep learning for better final performances. |
| URL标识 | 查看原文 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/14541]  |
| 专题 | 深圳先进技术研究院_医工所 |
| 推荐引用方式 GB/T 7714 | Shanshan Wang,Ziwen Ke,Huitao Cheng,et al. Investigation of convolutional neural network based deep learning for cardiac imaging[C]. 见:. 法国巴黎. 2018. |
入库方式： OAI收割
来源：深圳先进技术研究院
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