| 一种基于形态学方法优化的种子填充算法及其在脑组织CT影像自动分割中的应用 |
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| 引用本文： | 孙中原,张继武,常桂然. 一种基于形态学方法优化的种子填充算法及其在脑组织CT影像自动分割中的应用[J]. 中国临床医学影像杂志, 2002, 13(6): 384-387,432 |
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| 作者姓名： | 孙中原 张继武 常桂然 |
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| 作者单位： | 东北大学信息科学与工程学院,辽宁,沈阳,110004 |
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| 基金项目： | “十五国家科技攻关重点项目”(2001BA706B-)部分资助 |
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| 摘 要： | 医学图像的自动组织分割技术已经成为一种迫切的需求和发展趋势。本文将图像腐蚀和膨胀应用到基本种子填充算法中，提出了一种优化的种子填充分割算法，并应用于脑组织CT影像自动分割中。在进行种子选取时，利用腐蚀方法去除种子噪声，使种子的选取达到最优化。对分割后的图像借助膨胀方法消除空白点，使图像更平滑、清晰。实验证明了该方法的有效性。
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| 关 键 词： | 形态学方法 优化 种子填充算法 脑组织 CT影像 自动分割 应用 |
| 文章编号： | 1008-1062(2002)06-0384-05 |
An optimized seed filling algorithm based on morphology and its application to automatic segmentation of CT images of brain tissue |
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| SUN Zhong-yuan,ZHANG Ji-wu,CHANG Gui-ran College of Information Science and Engineering,Northeastern University,Shenyang,China. An optimized seed filling algorithm based on morphology and its application to automatic segmentation of CT images of brain tissue[J]. Journal of China Clinic Medical Imaging, 2002, 13(6): 384-387,432 |
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| Authors: | SUN Zhong-yuan ZHANG Ji-wu CHANG Gui-ran College of Information Science Engineering Northeastern University Shenyang China |
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| Affiliation: | SUN Zhong-yuan,ZHANG Ji-wu,CHANG Gui-ran College of Information Science and Engineering,Northeastern University,Shenyang110004,China |
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| Abstract: | Automatic segmentation of medical images has become an urgent need and a trend of development .This paper proposes an optimized seed filling algorithm by applying morphology erosion and dilation to the basic algorithm.The method is applied to automatic segmentation of CT images of brain tissue.The selected seeds are optimized by using morphology ero-sion to remove noises.A segmented image is made more smooth and clearer by using morphology dilation to fill blank points.Experimental results have proved the validity of the proposed method. |
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| Keywords: | image processing computer-assisted tomography X-ray computed |
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