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| DOI | 10.3390/app10051816 |
| Benchmarking MRI Reconstruction Neural Networks on Large Public Datasets | |
| Ramzi, Zaccharie1,2,3; Ciuciu, Philippe1,2; Starck, Jean-Luc3 | |
| 通讯作者 | Ramzi, Zaccharie |
| 来源期刊 | APPLIED SCIENCES-BASEL
 |
| EISSN | 2076-3417 |
| 出版年 | 2020 |
| 卷号 | 10期号:5 |
| 英文摘要 | Deep learning is starting to offer promising results for reconstruction in Magnetic Resonance Imaging (MRI). A lot of networks are being developed, but the comparisons remain hard because the frameworks used are not the same among studies, the networks are not properly re-trained, and the datasets used are not the same among comparisons. The recent release of a public dataset, fastMRI, consisting of raw k-space data, encouraged us to write a consistent benchmark of several deep neural networks for MR image reconstruction. This paper shows the results obtained for this benchmark, allowing to compare the networks, and links the open source implementation of all these networks in Keras. The main finding of this benchmark is that it is beneficial to perform more iterations between the image and the measurement spaces compared to having a deeper per-space network. |
| 英文关键词 | image reconstruction neural networks deep learning fastMRI OASIS MRI |
| 类型 | Article |
| 语种 | 英语 |
| 国家 | France |
| 开放获取类型 | Green Submitted, gold |
| 收录类别 | SCI-E |
| WOS记录号 | WOS:000525298100264 |
| WOS类目 | Chemistry, Multidisciplinary ; Engineering, Multidisciplinary ; Materials Science, Multidisciplinary ; Physics, Applied |
| WOS研究方向 | Chemistry ; Engineering ; Materials Science ; Physics |
| 资源类型 | 期刊论文 |
| 条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/314055 |
| 作者单位 | 1.CEA, NeuroSpin, Bat 145, F-91191 Gif Sur Yvette, France; 2.Univ Paris Saclay, Parietal Team, Inria Saclay Ile De France, F-91120 Palaiseau, France; 3.Univ Paris Diderot, Univ Paris Saclay, CNRS, AIM,CEA,Sorbonne Paris Cite, F-91191 Gif Sur Yvette, France |
| 推荐引用方式 GB/T 7714 | Ramzi, Zaccharie,Ciuciu, Philippe,Starck, Jean-Luc. Benchmarking MRI Reconstruction Neural Networks on Large Public Datasets[J],2020,10(5). |
| APA | Ramzi, Zaccharie,Ciuciu, Philippe,&Starck, Jean-Luc.(2020).Benchmarking MRI Reconstruction Neural Networks on Large Public Datasets.APPLIED SCIENCES-BASEL,10(5). |
| MLA | Ramzi, Zaccharie,et al."Benchmarking MRI Reconstruction Neural Networks on Large Public Datasets".APPLIED SCIENCES-BASEL 10.5(2020). |
| 条目包含的文件 | 条目无相关文件。 | |||||
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