东北大学学报(自然科学版) ›› 2009, Vol. 30 ›› Issue (2): 187-190.DOI: -

• 论著 • 上一篇    下一篇

一种改进的CT胸部图像肺组织分割方法

孟琭;赵大哲;贾同;赵宏;   

  1. 东北大学信息科学与工程学院;东北大学软件中心;
  • 收稿日期:2013-06-22 修回日期:2013-06-22 出版日期:2009-02-15 发布日期:2013-06-22
  • 通讯作者: Meng, L.
  • 作者简介:-
  • 基金资助:
    国家自然科学基金资助项目(60671050)

An improved lung segmentation algorithm for chest CT images

Meng, Lu (1); Zhao, Da-Zhe (2); Jia, Tong (1); Zhao, Hong (2)   

  1. (1) School of Information Science and Engineering, Northeastern University, Shenyang 110004, China; (2) Software Center, Northeastern University, Shenyang 110004, China
  • Received:2013-06-22 Revised:2013-06-22 Online:2009-02-15 Published:2013-06-22
  • Contact: Meng, L.
  • About author:-
  • Supported by:
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摘要: 为了对病变肺部图像进行准确分割,对通常的肺组织分割算法进行了分析和改进,将小波变换与数学形态学引入肺分割算法.通过小波变换对图像进行分解,再运用数学形态学对分解后的各个分量执行不同的修补方法:对低频分量作形态学闭运算,对高频分量作形态学开运算;从而在适当的尺度修正图像的基本特征而不影响细节特征,在重构之后获得理想的肺区域.利用改进后的算法,对医院的36组临床HRCT数据进行分割,并与手工分割结果和通常算法的分割结果进行了比较.结果表明,该方法分割结果准确,能有效提高肺组织分割的平均敏感性.

关键词: CT图像, 计算机辅助诊断, 肺分割, 小波变换, 数学形态学

Abstract: To segment accurately the pathologic lung images, the conventional segmentation algorithm for lung was analyzed and improved by introducing the wavelet transform and mathematical morphology into the algorithm, i.e. an image was decomposed via wavelet transform, then each and all of its components after decomposition were mended in different ways through mathematical morphology. Morphologically the closed and open operation should be done for LF and HF components, respectively, thus modifying the basic traits of an image on a proper scale without detailed traits obscured and, after image restructuring, obtaining the ideal lung region. The improved algorithm was applied to the segmentation of 36 sets of clinical HRCT data provided by hospitals, and its results were compared with those from manual segmentation and conventional algorithm. It was found that the improved algorithm can provide accurate segmentation so as to make the average sensitivity of lung segmentation higher.

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