| 一种基于样本抽样性质的图像配准方法 |
| |
| 引用本文： | 徐鹏,尧德中,罗(芬木). 一种基于样本抽样性质的图像配准方法[J]. 生物医学工程学杂志, 2005, 22(4): 814-818 |
| |
| 作者姓名： | 徐鹏 尧德中 罗(芬木) |
| |
| 作者单位： | 1. 电子科技大学,生命科学与技术学院,成都,610054
2. 重庆工商大学,计算机科学与信息工程学院,重庆,400067 |
| |
| 基金项目： | 国家自然科学基金资助项目(90208003,30200059)，教育部科学技术研究重点项目(02065)，高等学校博士学科点专项科研基金，教育部青年教师奖励计划，四川省青年基金资助项目。 |
| |
| 摘 要： | 基于互信息的医学图像配准是当前常用的方法,但互信息的计算量大,对此可采用欠采样技术来减少计算量,但欠采样会降低配准的精度。本文中,我们基于样本抽样均值分布定理,提出了利用多次采样的改进方法,它兼具较高的精度和较快的配准速度。文中的数值计算结果证明了这一点。
|
| 关 键 词： | 多模态图像 互信息 欠采样 样本抽样均值分布 |
| 收稿时间： | 2003-06-23 |
| 修稿时间： | 2003-06-232003-10-27 |
A Method for the Medical Image Registration Based on the Statistics Samples Averaging Distribution Theory |
| |
| Xu Peng,Yao Dezhong,Luo Fen. A Method for the Medical Image Registration Based on the Statistics Samples Averaging Distribution Theory[J]. Journal of biomedical engineering, 2005, 22(4): 814-818 |
| |
| Authors: | Xu Peng Yao Dezhong Luo Fen |
| |
| Affiliation: | 1 School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054 ,China; 2 Computer Science and Information Engineering College, Chongqing Technology and Business University, Chongqing 400067, China |
| |
| Abstract: | The registration method based on mutual information is currently a popular technique for the medical image registration, but the computation for the mutual information is complex and the registration speed is slow. In engineering process, a subsampling technique is taken to accelerate the registration speed at the cost of registration accuracy. In this paper a new method based on statistics sample theory is developed, which has both a higher speed and a higher accuracy as compared with the normal subsampling method, and the simulation results confirm the validity of the new method. |
| |
| Keywords: | Multi-modal medical image Mutual information Sub-sample Sample averaging distribution theory |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
