A Noniterative Simultaneous Rigid Registration Method for Serial Sections of Biological Tissues
Chang Shu; Linlin Li; Guoqing Li; Xi Chen; Hua Han
刊名APPLIED SCIENCES-BASEL
2019
期号3页码:14
关键词image registrationvolume reconstruction from series of microscopy sectionsconstrained simultaneous registration problemnoniterative algorithm
英文摘要

In this paper, we propose a novel noniterative algorithm to simultaneously estimate optimal rigid transformations for serial section images, which is a key component in performing volume reconstructions of serial sections of biological tissue. To avoid the error accumulation and propagation caused by current algorithms, we add an extra condition: that the positions of the first and last section images should remain unchanged. This constrained simultaneous registration problem has not previously been solved. Our solution is noniterative; thus, it can simultaneously compute rigid transformations for a large number of serial section images in a short time. We demonstrate that our algorithm obtains optimal solutions under ideal conditions and shows great robustness under nonideal circumstances. Further, we experimentally show that our algorithm outperforms state-of-the-art methods in terms of speed and accuracy.

语种英语
内容类型期刊论文
源URL[http://ir.ia.ac.cn/handle/173211/40588]  
专题类脑智能研究中心_微观重建与智能分析
通讯作者Hua Han
推荐引用方式
GB/T 7714
Chang Shu,Linlin Li,Guoqing Li,et al. A Noniterative Simultaneous Rigid Registration Method for Serial Sections of Biological Tissues[J]. APPLIED SCIENCES-BASEL,2019(3):14.
APA Chang Shu,Linlin Li,Guoqing Li,Xi Chen,&Hua Han.(2019).A Noniterative Simultaneous Rigid Registration Method for Serial Sections of Biological Tissues.APPLIED SCIENCES-BASEL(3),14.
MLA Chang Shu,et al."A Noniterative Simultaneous Rigid Registration Method for Serial Sections of Biological Tissues".APPLIED SCIENCES-BASEL .3(2019):14.
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