| 基于互信息快速算法的多模医学图像配准 |
| |
| 引用本文： | 孙滕,刘云伍,田源.基于互信息快速算法的多模医学图像配准[J].兰州铁道学院学报,2011,30(1). |
| |
| 作者姓名： | 孙滕 刘云伍 田源 |
| |
| 作者单位： | 兰州交通大学,电子与信息工程学院,甘肃,兰州,730070 |
| |
| 基金项目： | 甘肃省自然科学基金，甘肃省科技攻关项目，兰州市科技计划项目 |
| |
| 摘 要： | 互信息作为相似性测度在多模医学图像配准领域得到了广泛应用,具有高精度和稳健的特点.但频繁的互信息计算降低了配准效率,同时对两幅图像重叠区域比较敏感.采用归一化互信息为测度,降低互信息计算中灰度级的快速算法,通过多模CT/MRI配准实验证明,可以在确保配准精度的同时缩短时间提高配准效率.
|
| 关 键 词： | 互信息 灰度级 多模 |
Multi-Modality Medical Image Registration Based on Rapid Algorithm of Mutual Information |
| |
| SUN Teng,LIU Yun-wu,TIAN Yuan.Multi-Modality Medical Image Registration Based on Rapid Algorithm of Mutual Information[J].Journal of Lanzhou Railway University,2011,30(1). |
| |
| Authors: | SUN Teng LIU Yun-wu TIAN Yuan |
| |
| Institution: | SUN Teng,LIU Yun-wu,TIAN Yuan(School of Electronic & Information Engineering,Lanzhou Jiaotong University,Lanzhou 730070,China) |
| |
| Abstract: | The similarity metric mutual information with high precision and stability has been used widely in multi-modality medical image registration,but frequent calculation of mutual information reduces efficiency of registration.Moreover,it is sensitive to the overlap of two images.The experiment with CT/MRI image registration uses normalized mutual information as a metric and decreased the grayscale of mutual information's calculation.The rapid algorithm proves that it also improves efficiency of registration un... |
| |
| Keywords: | mutual information grayscale multi-modality |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
|
