| 基于多参考点的X线双能量减影算法 |
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| 引用本文： | 林刚,蒋一峰,陈真诚,蒋大宗.基于多参考点的X线双能量减影算法[J].光子学报,2003,32(2):187-191. |
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| 作者姓名： | 林刚 蒋一峰 陈真诚 蒋大宗 |
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| 作者单位： | 1. 浙江大学信息科学与工程学院,浙江,310027;宁波波导股份有限公司,浙江,315500
2. 西安交通大学生物医学工程研究所,西安,710049 |
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| 基金项目： | 国家九五重点科技项目 (攻关 )滚动计划 (96 92 0 12 0 1)，国家自然科学基金(396 310 2 0 )资助项目 |
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| 摘 要： | 提出了不直接依赖于入射X线强度的基于多参考点的双能量减影算法.该算法选取图像中的若干个像素点作为参考点,在对这些参考点进行平滑处理后分别求解双能量方程以产生多幅具有相同纹理的减影图像,将这些图像进行平均后得到保留着动态信息的骨骼和软组织图像.该算法将减影和滤波过程同时进行,提高了结果图像的质量.实验表明该算法具有较强的稳定性,实现了计算机自动处理.
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| 关 键 词： | X射线 双能量减影 图像处理 |
| 收稿时间： | 2002/3/6 |
| 修稿时间： | 2002年3月6日 |
A X-ray Dual-energy Image Subtraction Method Based on Multi-referential Points |
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| Lin Gang ,Jiang Yifeng ,Chen Zhencheng ,Jiang Dazong College of Information Science and Engineering,Zhejiang University,Huangzhou Ningbo Bird Corporation Ltd,Huangzhou Biomedical Engineering Institute,Xi'an Jiaotong University,Xi'an.A X-ray Dual-energy Image Subtraction Method Based on Multi-referential Points[J].Acta Photonica Sinica,2003,32(2):187-191. |
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| Authors: | Lin Gang Jiang Yifeng Chen Zhencheng Jiang Dazong College of Information Science and Engineering Zhejiang University Huangzhou Ningbo Bird Corporation Ltd Huangzhou Biomedical Engineering Institute Xi'an Jiaotong University Xi'an |
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| Institution: | Lin Gang 1,2,Jiang Yifeng 3,Chen Zhencheng 3,Jiang Dazong 3 1 College of Information Science and Engineering,Zhejiang University,Huangzhou 310027 2 Ningbo Bird Corporation Ltd,Huangzhou 315500 3 Biomedical Engineering Institute,Xi'an Jiaotong University,Xi'an 710049 |
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| Abstract: | A novel X-ray dual-energy image subtraction method based on the multi-referential points is proposed. For this method, it's no need to evaluate the initial intensity of the incoming X-ray. The method firstly selects several pixels in the original image as the referential points and smoothes them. Then the smoothed referential points are applied to solve the dual-energy equations individually and make the subtracted images that have the same texture. The result image, which produced by the average of those subtracted images, keeps the entire dynamic information of soft tissue and bone. This method can improve the quality of the subtracted image for the subtraction processing and the filter working together. The experiment shows that the method is robust and can be implemented by the computer automatically. |
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| Keywords: | X-ray Dual-energy image subtraction Image processing |
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