| 基于体素灰度3D多模医学图像配准中的相似性测度 |
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| 引用本文： | 秦斌杰,庄天戈.基于体素灰度3D多模医学图像配准中的相似性测度[J].上海交通大学学报,2002,36(7):942-944. |
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| 作者姓名： | 秦斌杰 庄天戈 |
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| 作者单位： | 上海交通大学,生物医学工程系,上海,200030 |
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| 基金项目： | 上海市科学发展基金资助项目 ( 985 10 70 16 ) |
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| 摘 要： | 对基于体素灰度多模医学图像配准中广泛采用的相似性测度（SM）进行了比较研究，认为在配准条件极不理想的条件下，基于互信息（SM）、归一化互信息SN、相关比（SR）的SM是最为适用的。分析了基于SR的配准法相比于SM，易于保证配准得到全局最优变换。利用基于SR的配准方法，对磁共振（MR）和CT、MR和正电子发射断层扫描（PET）临床医学图像进行配准，得到了令人满意的效果。
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| 关 键 词： | 体素灰度 3D多模医学图像 医学图像配准 相似性测度 相关比 互信息 图像处理 |
| 文章编号： | 1006-2467(2002)07-0942-04 |
| 修稿时间： | 2001年7月31日 |
Similarity Measures in Voxel Intensity Based 3D Multi-Modal Medical Image Registration |
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| QIN Bin-jie,ZHUANG Tian-ge.Similarity Measures in Voxel Intensity Based 3D Multi-Modal Medical Image Registration[J].Journal of Shanghai Jiaotong University,2002,36(7):942-944. |
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| Authors: | QIN Bin-jie ZHUANG Tian-ge |
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| Abstract: | A comparison research on similarity measures popular at voxel intensity based multi-modal medical image registration was given. Under the extreme registration condition, the mutual information, normalized mutual information, correlation ratio are considered as most suitable similarity measures. This paper also explained why the mutual information based medical image registration can easily be trapped in the local maximum in optimization process, but not for the correlation ratio. The experimental results based on clinical medical images show that the correlation ratio similarity measure based multi-modal medical image registration method work well for clinical application. |
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| Keywords: | medical image registration similarity measure correlation ratio mutual information |
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