| 利用边缘和表面特征实现脑图像CT-MR的自动配准 |
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| 引用本文： | 沈晋慧,马斌荣,杨虎,于红玉.利用边缘和表面特征实现脑图像CT-MR的自动配准[J].北京生物医学工程,2002,21(3):161-165,182. |
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| 作者姓名： | 沈晋慧 马斌荣 杨虎 于红玉 |
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| 作者单位： | 首都医科大学生物医学工程学院,北京,100054 |
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| 摘 要： | 应用基于CT和MR图像等值特征表面的配准算法对多模医学图像进行了配准研究.在CT、MR图像中提取等值特征表面,进行图像的几何对准,并对结果进行初步评估,同时对该算法的稳健性,搜索最近点策略和插值策略进行了研究.结果表明:这种方法能够达到亚象素级的配准精度,是一种稳健、高精度、全自动的配准方法.
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| 关 键 词： | 配准 特征边缘 特征表面 |
| 文章编号： | 1002-3208(2002)03-0161-05 |
Automated Registration of Brain CT-MR Images Using Edge and Surface Features |
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| SHEN Jinhui,MA Binrong,YANG Hu,YU Hongyu. Dept. of Biomedical Engineering,Capital University of Medical Science,Beijing\.Automated Registration of Brain CT-MR Images Using Edge and Surface Features[J].Beijing Biomedical Engineering,2002,21(3):161-165,182. |
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| Authors: | SHEN Jinhui MA Binrong YANG Hu YU Hongyu Dept of Biomedical Engineering Capital University of Medical Science Beijing\ |
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| Institution: | SHEN Jinhui,MA Binrong,YANG Hu,YU Hongyu. Dept. of Biomedical Engineering,Capital University of Medical Science,Beijing\ 100054 |
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| Abstract: | An automated registration method based on equivalent features is discussed in this article. The skin surface of the head, the outer brain surface of MR and the inner skull surface of CT are commonly used as reference surfaces for image registration. Preliminary evaluation result showed that Sub pixel registration accuracy can be achieved with this approach. We also investigated the robustness of the method, strategies of finding the closest points and 3 D interpolation. The algorithm we presented is a very robust and fully automated multi modality registration method with high accuracy. |
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| Keywords: | Registration Feature edges Feature surfaces |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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