| 基于互信息量和模糊梯度相似性的医学图像配准 |
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| 引用本文： | 陈明,陈武凡,冯前进,杨丰.基于互信息量和模糊梯度相似性的医学图像配准[J].电子学报,2003,31(12):1835-1838. |
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| 作者姓名： | 陈明 陈武凡 冯前进 杨丰 |
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| 作者单位： | 第一军医大学生物医学工程系,广州 510515 |
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| 基金项目： | 国家自然科学基金重点项目 (No .30 1 30 1 80 ) ,(No .39970 2 2 2 ) |
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| 摘 要： | 本文分析了基于互信息量的医学图像配准算法中存在的鲁棒性问题,提出创建图像的模糊梯度场及建立模糊梯度相似性测度,并将其结合到互信息量配准算法当中.实验证明,本方法很好的解决了传统基于互信息量的方法中存在的鲁棒性问题,能够快速稳定地实现医学图像配准.
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| 关 键 词： | 医学图像配准 互信息量 模糊梯度场 鲁棒性 |
| 文章编号： | 0372-2112(2003)12-1835-04 |
| 收稿时间： | 2002-01-24 |
Medical Image Registration Based on Mutual Information and Fuzzy Gradient Similarity |
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| CHEN Ming,CHEN Wu fan,FENG Qian jin,YANG Feng.Medical Image Registration Based on Mutual Information and Fuzzy Gradient Similarity[J].Acta Electronica Sinica,2003,31(12):1835-1838. |
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| Authors: | CHEN Ming CHEN Wu fan FENG Qian jin YANG Feng |
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| Affiliation: | Dept.of Bio-Medical Engineering,Firest Military Medical Univ.,GuangZhou 510515,China |
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| Abstract: | In this paper,the robustness problem in medical image registration algorithm based on mutual information is analyzed.A new method is proposed,which establishes image fuzzy gradient field and sets up the measurement of fuzzy gradient similarity.Then it is combined into the algorithm based on mutual information.Our experiments illustrate that this method can efficiently solve the robustness problem in the traditional algorithm based on mutual information and match medical images quickly and stably. |
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| Keywords: | medical image registration mutual information fuzzy gradient field robustness |
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