| 应用规则的肺结节识别系统 |
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| 引用本文： | 张婧,李彬,田联房,陈萍.应用规则的肺结节识别系统[J].计算机工程与应用,2011,47(17):200-202. |
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| 作者姓名： | 张婧 李彬 田联房 陈萍 |
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| 作者单位： | 1.华南理工大学 自动化科学与工程学院，广州 510640 2.广州医学院 第一附属医院核医学科，广州 510120 |
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| 基金项目： | 教育部博士点基金资助项目，广东省自然科学基金资助项目，广州市番禺区科技攻关项目 |
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| 摘 要： | 为了检测胸部CT图像中的肺结节，提出一种基于应用规则的自动识别肺结节的系统。在识别系统中通过自动阈值法和轮廓跟踪法分割肺实质;采用OTSU算法分割肺实质中的感兴趣区域，对感兴趣区域的特征进行提取;选择对肺结节和血管区别度较大的特征。根据选取的这些特征设定识别肺结节的规则来确定肺结节的候选区域。实验结果表明，该系统对直径1 cm以上的结节具有较好的识别性能。
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| 关 键 词： | 医学图像 肺结节 基于规则 识别 OTSU算法 |
| 修稿时间： | |
Lung nodule recognition system using rules |
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| ZHANG Jing,LI Bin,TIAN Lianfang,CHEN Ping.Lung nodule recognition system using rules[J].Computer Engineering and Applications,2011,47(17):200-202. |
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| Authors: | ZHANG Jing LI Bin TIAN Lianfang CHEN Ping |
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| Affiliation: | 1.School of Automation Science and Engineering，South China University of Technology，Guangzhou 510640，China 2.Department of Nuclear Medicine，the First Affiliated Hospital of Guangzhou Medical College，Guangzhou 510120，China |
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| Abstract: | In order to detect lung nodules in chest CT images,an automatic recognition lung nodules system using rules is proposed.In the system, automatic threshold and contour tracking method are adopted to segment lung parenchyma at first; OTSU algorithm is used to extract Region Of Interested（ROI） subsequently,and then the features of ROI are extracted;at last some features are chosen which can distinguish between lung nodules and blood vessels.Rules are defined to determine candidate nodules based on the chosen features.Experiment results show that this system has better recognition performance with the diameter above 1 cm. |
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| Keywords: | medical image lung nodule based on rules recognition OTSU algorithm |
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