| 互信息在医学图像配准中的应用研究 |
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| 引用本文： | 杨春兰,郑链,李晓明.互信息在医学图像配准中的应用研究[J].计算机应用与软件,2008,25(3):145-146,170. |
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| 作者姓名： | 杨春兰 郑链 李晓明 |
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| 作者单位： | 北京理工大学机电工程学院,北京,100081 |
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| 摘 要： | 多模态图像配准已成为医学图像分析的一项重要研究内容.互信息是最为广泛使用的一种配准方法,其精度和鲁棒性都相对使人满意.通过实验证明了该方法的实用性,并且对其扩展形式如基于高阶熵的互信息和加入梯度的互信息等方法进行了分析,验证了空间信息在配准中的重要作用.
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| 关 键 词： | 互信息 图像配准 多模态 |
| 收稿时间： | 2006-04-21 |
| 修稿时间： | 2006年4月21日 |
THE RESEARCH ON APPLICATION OF MUTUAL INFORMATION TO MULTIMODALITY MEDICAL IMAGE REGISTRATION |
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| Yang Chunlan,Zheng Lian,Li Xiaoming.THE RESEARCH ON APPLICATION OF MUTUAL INFORMATION TO MULTIMODALITY MEDICAL IMAGE REGISTRATION[J].Computer Applications and Software,2008,25(3):145-146,170. |
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| Authors: | Yang Chunlan Zheng Lian Li Xiaoming |
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| Affiliation: | Yang Chunlan Zheng Lian Li Xiaoming(School of Mechatronics Engineering,Beijing University of Technology,Beijing 100081,China) |
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| Abstract: | Muhimodality image registration is an important issue in medical image analysis. Mutual information is the most widely used method in multimodality registration. Both the accuracy and the robustness are satisfactory. The practicability of mutual information is validated with experiments. In addition, other extension similarity measures such as high-order mutual information and gradient information incorporated methods are analyzed, and the importance of spatial information is demonstrated. |
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| Keywords: | Mutual information Image registration Multimodality |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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