A Consensus Framework of Distributed Multiple-Tilt Reconstruction in Electron Tomography
文献类型：期刊论文
| 作者 | Wang, Zihao1,2; Zhang, Jingrong1,2; Gao, Weifang3; Liu, Zhiyong1; Wan, Xiaohua1; Zhang, Fa1 |
| 刊名 | JOURNAL OF COMPUTATIONAL BIOLOGY
 |
| 出版日期 | 2019-12-02 |
| 页码 | 11 |
| 关键词 | consensus optimization cryoelectron tomography multiple-tilt reconstruction parallel computing TxBR |
| ISSN号 | 1066-5277 |
| DOI | 10.1089/cmb.2019.0287 |
| 英文摘要 | The "missing wedge" of a single tilt in electron tomography introduces severe artifacts into the reconstructed results. To reduce the "missing wedge" effect, a widely used method is "multiple-tilt reconstruction," which collects projections using multiple axes. However, as the number of tilt series increases, the computing and memory costs also rise. The degree of parallelism is limited by the sample thickness, and a large memory requirement cannot be met by most multicore computers. In our study, we present a new fully distributed multiple-tilt simultaneous iterative reconstruction technique (DM-SIRT). To improve the parallelism of the reconstruction process and reduce the memory requirements of each process, we formulate the multiple-tilt reconstruction as a consensus optimization problem and design a DM-SIRT algorithm. Experiments show that in addition to slightly better resolution, DM-SIRT can obtain a 13.9 x accelerated ratio compared with the full multiple-tilt reconstruction version. It also has a 97% decrease in memory overhead and is 16 times more scalable than the full reconstruction version. |
| 资助项目 | National Key Research and Development Program of China[2017YPE0103900] ; National Key Research and Development Program of China[2017YFA0504702] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA19020400] ; NSFC[U1611263] ; NSFC[U1611261] ; NSFC[61932018] ; NSFC[61672493] ; Beijing Municipal Natural Science Foundation[L182053] ; Special Program for Applied Research on Super Computation of the NSFC-Guangdong Joint Fund (the second phase) |
| WOS研究方向 | Biochemistry & Molecular Biology ; Biotechnology & Applied Microbiology ; Computer Science ; Mathematical & Computational Biology ; Mathematics |
| 语种 | 英语 |
| WOS记录号 | WOS:000500391900001 |
| 出版者 | MARY ANN LIEBERT, INC |
| 源URL | [http://119.78.100.204/handle/2XEOYT63/14944]  |
| 专题 | 中国科学院计算技术研究所期刊论文_英文 |
| 通讯作者 | Liu, Zhiyong; Wan, Xiaohua; Zhang, Fa |
| 作者单位 | 1.Chinese Acad Sci, Inst Comp Technol, High Performance Comp Res Ctr, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Beijing, Peoples R China 3.Hebei Univ Chinese Med, Shijiazhuang, Hebei, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Zihao,Zhang, Jingrong,Gao, Weifang,et al. A Consensus Framework of Distributed Multiple-Tilt Reconstruction in Electron Tomography[J]. JOURNAL OF COMPUTATIONAL BIOLOGY,2019:11. |
| APA | Wang, Zihao,Zhang, Jingrong,Gao, Weifang,Liu, Zhiyong,Wan, Xiaohua,&Zhang, Fa.(2019).A Consensus Framework of Distributed Multiple-Tilt Reconstruction in Electron Tomography.JOURNAL OF COMPUTATIONAL BIOLOGY,11. |
| MLA | Wang, Zihao,et al."A Consensus Framework of Distributed Multiple-Tilt Reconstruction in Electron Tomography".JOURNAL OF COMPUTATIONAL BIOLOGY (2019):11. |
入库方式： OAI收割
来源：计算技术研究所
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