| 基于互信息和小波分解的混合优化医学图像配准 |
| |
| 引用本文： | 张见威,韩国强,张艳青,张见东.基于互信息和小波分解的混合优化医学图像配准[J].海南大学学报(自然科学版),2006,24(4):406-411. |
| |
| 作者姓名： | 张见威 韩国强 张艳青 张见东 |
| |
| 作者单位： | 华南理工大学,计算机科学与工程学院,广东,广州,510641;大庆市第四医院,神经内科,黑龙江,大庆,163712 |
| |
| 基金项目： | 国家自然科学基金
,
广东省自然科学基金 |
| |
| 摘 要： | 提出一种新的基于互信息和小波分析的混合优化配准算法,在最低分辨率下用模拟退火算法进行全局优化,在高分辨率下采用Powell算法进行优化.结果显示:该方法用于医学图像配准,并与已有的传统方法进行分析比较,具有良好的全局优化性能和时间性能.
|
| 关 键 词： | 互信息 小波分解 混合优化 医学图像配准 |
| 文章编号： | 1004-1729(2006)04-0406-06 |
| 修稿时间： | 2006年3月4日 |
Medical Image Registration-Based on Methodologies of Mutual Information, Wavelet Decomposition, and Hybrid Optimization |
| |
| ZHANG Jian-wei,HAN Guo-qiang,ZHANG Yan-qing,ZHANG Jian-dong.Medical Image Registration-Based on Methodologies of Mutual Information, Wavelet Decomposition, and Hybrid Optimization[J].Natural Science Journal of Hainan University,2006,24(4):406-411. |
| |
| Authors: | ZHANG Jian-wei HAN Guo-qiang ZHANG Yan-qing ZHANG Jian-dong |
| |
| Abstract: | In this paper,a new method based on mutual information,wavelet decomposition,and hybrid optimization is proposed for medical image registration.Two kinds of optimization were performed.One is global optimization using simulate anneal algorithm under the lower resolution rate and the other is to employ the Powell algorithm under higher resolution rate.Results show that a new method is suitable to medical image registration and has a good global optimization and runtime performance. |
| |
| Keywords: | mutual information wavelet decomposition hybrid optimization medical image registration |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
