| 基于轮廓特征的多模态医学图像的配准 |
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| 引用本文： | 俎栋林,余立锋,王卫东,邓元木,尤江生,包尚联.基于轮廓特征的多模态医学图像的配准[J].系统工程与电子技术,2000,22(7):61-64. |
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| 作者姓名： | 俎栋林 余立锋 王卫东 邓元木 尤江生 包尚联 |
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| 作者单位： | 北京大学重离子物理研究所,100871 |
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| 基金项目： | 国家自然科学基金资助课题! (1 96750 0 5) |
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| 摘 要： | 多模态医学图像的配准在医学诊断和治疗计划中起着重要的作用。提出一种基于轮廓特征的迭代最近点 (SVD -ICP)的配准方法。这种方法是将最优化解析方法与迭代搜索相结合来解决图像轮廓点匹配问题的 ,适用于不同模态医学图像之间的配准。关于CT -MRI和PET -MRI图像的配准实验证明 ,该方法是有效的。
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| 关 键 词： | 医学 图像分析 匹配 |
| 修稿时间： | 1999-09-09 |
A Method Based on Contour Feature for Multimodality Medical Image Registration |
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| Zu Donglin,Yu Lifeng,Wang Weidong,Deng Yuanmu,You Jiangsheng,Bao Shanglian.A Method Based on Contour Feature for Multimodality Medical Image Registration[J].System Engineering and Electronics,2000,22(7):61-64. |
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| Authors: | Zu Donglin Yu Lifeng Wang Weidong Deng Yuanmu You Jiangsheng Bao Shanglian |
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| Abstract: | Multimodality medical image registration has important applications in clinical diagnosis and therapy planning. This paper presents a SVD-ICP method based on contour feature, which combines the analytical optimization and iterative search to solve the problem of image contour points matching. It is applicable to multimodality medical image registration. Experiments on CT-MRI and PET-MRI registration prove that this method is effective. |
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| Keywords: | Medicine Image analysis Matching |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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