| 基于轮廓特征点最大互信息的多模态医学图像配准 |
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| 引用本文： | 火元莲,齐永锋,宋海声.基于轮廓特征点最大互信息的多模态医学图像配准[J].激光与红外,2008,38(1):96-98. |
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| 作者姓名： | 火元莲 齐永锋 宋海声 |
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| 作者单位： | 1. 西北师范大学物理与电子工程学院,甘肃,兰州,730070
2. 西北师范大学数学与信息科学学院,甘肃,兰州,730070 |
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| 摘 要： | 提出了一种基于轮廓特征点最大互信息的多模态医学图像配准方法,并将粒子群优化算法(PSO)和Powell算法相结合以一种组合的全局优化算法(PPSO)来求取最优配准变换参数.实验结果表明,该方法具有配准精度高、速度快、鲁棒性强等特点,是一种有效地全自动配准方法.
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| 关 键 词： | 图像配准 互信息 PSO算法 Powell算法 |
| 文章编号： | 1001-5078（2008）01-0096-03 |
| 收稿时间： | 2007-06-21 |
| 修稿时间： | 2007-08-15 |
Multi-modality Medical Image Registration Based on Mutual Information of Feature Points |
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| HUO Yuan-lian,QI Yong-feng,SONG Hai-sheng.Multi-modality Medical Image Registration Based on Mutual Information of Feature Points[J].Laser & Infrared,2008,38(1):96-98. |
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| Authors: | HUO Yuan-lian QI Yong-feng SONG Hai-sheng |
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| Affiliation: | Physics and Electronic Engineering College of Northwest Normal University,Lanzhou730070,China;Mathematics and Information Science College of Northwest Normal University,Lanzhou 730070,China |
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| Abstract: | A new method of multi-modality medical image registration based on mutual information of feature points was gived. Combines PSO algorithm and Powell algorithm,then we adop the new combined optimization algorithm as our optimization algorithm to search the best registration parameters. Theories and experiments indicated that this method have the advantages of high precision and good robust. |
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| Keywords: | image registration mutual information PSO Powell search algorithm |
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