Compressed sensing improved iterative reconstruction-reprojection algorithm for electron tomography

doi:10.1186/s12859-020-3529-3

	Compressed sensing improved iterative reconstruction-reprojection algorithm for electron tomography
	Li, Lun 1,2; Han, Renmin 3; Zhang, Zhaotian 4; Guo, Tiande 2; Liu, Zhiyong 1; Zhang, Fa 1
	2020-11-18
发表期刊	BMC BIOINFORMATICS
ISSN	1471-2105
卷号	21 页码:19
摘要	BackgroundElectron tomography (ET) is an important technique for the study of complex biological structures and their functions. Electron tomography reconstructs the interior of a three-dimensional object from its projections at different orientations. However, due to the instrument limitation, the angular tilt range of the projections is limited within +70 degrees to -70 degrees. The missing angle range is known as the missing wedge and will cause artifacts.ResultsIn this paper, we proposed a novel algorithm, compressed sensing improved iterative reconstruction-reprojection (CSIIRR), which follows the schedule of improved iterative reconstruction-reprojection but further considers the sparsity of the biological ultra-structural content in specimen. The proposed algorithm keeps both the merits of the improved iterative reconstruction-reprojection (IIRR) and compressed sensing, resulting in an estimation of the electron tomography with faster execution speed and better reconstruction result. A comprehensive experiment has been carried out, in which CSIIRR was challenged on both simulated and real-world datasets as well as compared with a number of classical methods. The experimental results prove the effectiveness and efficiency of CSIIRR, and further show its advantages over the other methods.ConclusionsThe proposed algorithm has an obvious advance in the suppression of missing wedge effects and the restoration of missing information, which provides an option to the structural biologist for clear and accurate tomographic reconstruction.
关键词	Electron tomography Compressed sensing Matching pursuit Iterative reconstruction-reprojection
DOI	10.1186/s12859-020-3529-3
收录类别	SCI
语种	英语
资助项目	National Key Research and Development Program of China[2017YFE0103900] ; National Key Research and Development Program of China[2017YFA0504702] ; Strategic Priority Research Program of the Chinese Academy of Sciences Grant[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 ; Mathematical & Computational Biology
WOS类目	Biochemical Research Methods ; Biotechnology & Applied Microbiology ; Mathematical & Computational Biology
WOS记录号	WOS:000594994500003
出版者	BMC
引用统计	被引频次：2[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/15964
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Han, Renmin; Zhang, Fa
作者单位	1.Chinese Acad Sci, High Performance Comp Res Ctr, Inst Comp Technol, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Beijing, Peoples R China 3.Shandong Univ, Res Ctr Math & Interdisciplinary Sci, Qingdao 266237, Peoples R China 4.Natl Nat Sci Fdn China, Beijing 100085, Peoples R China
推荐引用方式 GB/T 7714	Li, Lun,Han, Renmin,Zhang, Zhaotian,et al. Compressed sensing improved iterative reconstruction-reprojection algorithm for electron tomography[J]. BMC BIOINFORMATICS,2020,21:19.
APA	Li, Lun,Han, Renmin,Zhang, Zhaotian,Guo, Tiande,Liu, Zhiyong,&Zhang, Fa.(2020).Compressed sensing improved iterative reconstruction-reprojection algorithm for electron tomography.BMC BIOINFORMATICS,21,19.
MLA	Li, Lun,et al."Compressed sensing improved iterative reconstruction-reprojection algorithm for electron tomography".BMC BIOINFORMATICS 21(2020):19.