Knowledge Commons of Institute of Automation,CAS
Non-iterative simultaneous rigid registration method for serial sections of biological tissue | |
Shu, Chang1,2; Chen, Xi2; Xie, Qiwei2; Xiao, Chi1,2; Han, Hua2,3,4 | |
2018 | |
会议名称 | 2018 IEEE 15th International Symposium on Biomedical Imaging |
页码 | 436-440 |
会议日期 | 4-7 April 2018 |
会议地点 | Washington, DC, USA |
摘要 | In this paper, we propose a novel non-iterative algorithm to simultaneously estimate optimal rigid transformation for serial section images, which is a key component in volume reconstruction of serial sections of biological tissue. In order to avoid error accumulation and propagation caused by current algorithms, we add extra condition that the position of the first and the last section images should remain unchanged. This constrained simultaneous registration problem has not been solved before. Our algorithm method is non-iterative, it can simultaneously compute rigid transformation for a large number of serial section images in a short time. We prove that our algorithm gets optimal solution under ideal condition. And we test our algorithm with synthetic data and real data to verify our algorithm's effectiveness. |
关键词 | serial section microscopic image volume reconstruction constrained simultaneous registration problem rigid transformation non-iterative |
收录类别 | EI |
语种 | 英语 |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/21722 |
专题 | 脑图谱与类脑智能实验室_微观重建与智能分析 |
通讯作者 | Han, Hua |
作者单位 | 1.University of Chinese Academy of Sciences, Beijing, China 2.Institute of Automation, Chinese Academy of Sciences, Beijing, China 3.School of Future Technology, University of Chinese Academy of Sciences, Beijing, China 4.The Center for Excellence in Brain Science and Intelligence Technology, CAS, Shanghai, China |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Shu, Chang,Chen, Xi,Xie, Qiwei,et al. Non-iterative simultaneous rigid registration method for serial sections of biological tissue[C],2018:436-440. |
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08363610.pdf(353KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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