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互信息在医学图像配准中的应用研究 被引量：2

THE RESEARCH ON APPLICATION OF MUTUAL INFORMATION TO MULTIMODALITY MEDICAL IMAGE REGISTRATION
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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。 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.
作者 杨春兰 郑链 李晓明
机构地区 北京理工大学机电工程学院
出处 《计算机应用与软件》 CSCD 北大核心 2008年第3期145-146,170,共3页 Computer Applications and Software
关键词 互信息 图像配准 多模态 Mutual information Image registration Multimodality
分类号 TP391 [自动化与计算机技术—计算机应用技术] TP391.41 [自动化与计算机技术—计算机应用技术]
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参考文献7

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同被引文献27

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计算机应用与软件
2008年 第3期

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