ACCELERATING MAGNETIC RESONANCE IMAGING VIA DEEP LEARNING
文献类型：会议论文
| 作者 | Wang, Shanshan; Su, Zhenghang; Ying, Leslie; Peng, Xi; Zhu, Shun; Liang, Feng; Feng, Dagan; Liang, Dong |
| 出版日期 | 2016 |
| 会议名称 | 2016 IEEE 13TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI) |
| 会议地点 | Prague, CZECH REPUBLIC |
| 英文摘要 | This paper proposes a deep learning approach for accelerating magnetic resonance imaging (MRI) using a large number of existing high quality MR images as the training datasets. An off-line convolutional neural network is designed and trained to identify the mapping relationship between the MR images obtained from zero-filled and fully-sampled k-space data. The network is not only capable of restoring fine structures and details but is also compatible with online constrained reconstruction methods. Experimental results on real MR data have shown encouraging performance of the proposed method for efficient and accurate imaging. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/10612]  |
| 专题 | 深圳先进技术研究院_医工所 |
| 作者单位 | 2016 |
| 推荐引用方式 GB/T 7714 | Wang, Shanshan,Su, Zhenghang,Ying, Leslie,et al. ACCELERATING MAGNETIC RESONANCE IMAGING VIA DEEP LEARNING[C]. 见:2016 IEEE 13TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI). Prague, CZECH REPUBLIC. |
入库方式： OAI收割
来源：深圳先进技术研究院
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