| 几种分割算法在CT肝脏兴趣区提取方面的比较 |
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| 引用本文： | 李玲,余后强. 几种分割算法在CT肝脏兴趣区提取方面的比较[J]. 医疗卫生装备, 2012, 33(1): 22-25 |
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| 作者姓名： | 李玲 余后强 |
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| 作者单位： | 1. 咸宁学院生物医学工程学院
2. 数学与统计学院,湖北咸宁,437100 |
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| 摘 要： | 目的:在计算机辅助诊断中,对已提取分割好的CT肝脏组织中的兴趣区的几种提取方法做比较。方法:利用Otsu分割算法、梯度分割算法、指数熵分割算法、均值聚类分割算法和二维直方图分割算法,对已分割的CT肝脏组织的兴趣区进行自动分割,并和医生手工分割的图像相对比。结果:通过实验及对实验数据进行分析,找出了具有良好获取兴趣区能力的分割算法。结论:通过手工分割图像分别与Otsu分割算法、梯度分割算法、指数熵分割算法、均值聚类分割算法和二维直方图分割算法做对比,总结几种分割方法的有效性,为计算机辅助诊断起到了重要的作用。
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| 关 键 词： | Otsu分割 梯度分割 指数熵分割 均值聚类分割 二维直方图分割 兴趣区提取 CT图像 |
Comparison of Several CT Segmentation Algorithms for Extraction of Liver Region of Interest |
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| LI Ling,YU Hou-qiang. Comparison of Several CT Segmentation Algorithms for Extraction of Liver Region of Interest[J]. Chinese Medical Equipment Journal, 2012, 33(1): 22-25 |
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| Authors: | LI Ling YU Hou-qiang |
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| Affiliation: | 1. Department of Biomedical Engineering, Xianning University, Xianning 437100, Hubei Province, China; 2. Department of Mathematics and Statistics, Xianning University, Xianning 437100, Hubei Province, China) |
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| Abstract: | Objective To compare several CT segmentation algorithms for extraction of liver region of interest. Methods The segmentation results by Otsu algorithm, gradient algorithm, index entropy algorithm, means clustering algorithm and 2D histogram algorithm were compared with that by manual segmentation, Results The segmentation algorithm with the best ability to obtain region of interest was found. Conclusion Manual segmentation is compared with several algorithms, including Otsu algorithm, gradient algorithm, index entropy algorithm, means clustering algorithm and 2D histogram algorithm, to sum up the effectiveness of above algorithms. |
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| Keywords: | Otsu segmentation gradient segmentation index entropy segmentation means clustering segmentation 2D histogram segmentation region of interest extraction CT image |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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