计算机工程与应用 ›› 2010, Vol. 46 ›› Issue (32): 202-204.DOI: 10.3778/j.issn.1002-8331.2010.32.056

• 工程与应用 • 上一篇    下一篇

保边滤波和改进FCM的疑似肺结节分割方法

香世杰1,李 彬1,田联房1,王立非2,陈 萍3   

  1. 1.华南理工大学 自动化科学与工程学院,广州 510640
    2.广州中医药大学祈福医院 影像中心,广州 511495
    3.广州医学院第一附属医院 核医学科,广州 510120
  • 收稿日期:2010-01-28 修回日期:2010-05-11 出版日期:2010-11-11 发布日期:2010-11-11
  • 通讯作者: 香世杰

Suspected lung nodule segmentation method of edge-preserving smoothing and improved FCM

XIANG Shi-jie1,LI Bin1,TIAN Lian-fang1,WANG Li-fei2,CHEN Ping3   

  1. 1.College of Automation Science and Engineering,South China University of Technology,Guangzhou 510640,China
    2.Image Center of Clifford Hospital,Guangzhou University of Traditional Chinese Medicine,Guangzhou 511495,China
    3.Department of Nuclear Medicine,The First Affiliated Hospital of Guangzhou Medical College,Guangzhou 510120,China
  • Received:2010-01-28 Revised:2010-05-11 Online:2010-11-11 Published:2010-11-11
  • Contact: XIANG Shi-jie

摘要: 提出一种基于保边滤波和改进FCM算法的疑似肺结节自动分割方法。首先,分离出边缘光滑的肺实质并通过非线性各向异性扩散滤波增强肺区疑似病灶,然后运用改进的模糊C-均值聚类算法分割出不同大小的疑似肺结节。实验结果证明,该方法能够自动、准确地完成疑似肺结节分割,比用传统的FCM算法取得更佳效果,并具有良好的鲁棒性和效率。

Abstract: A new automatic segmentation method of suspected lung nodules of edge-preserving smoothing and improved FCM algorithm is proposed.Firstly,the pulmonary parenchyma with smooth edge is separated from the original CT scans and the suspected lesions in the lung area are used by nonlinear anisotropic diffusion filtering for enhancement.Secondly,an improved Fuzzy C-Means(FCM) clustering algorithm is applied to the segmentation of the suspected lung nodules in different sizes.Experiment results indicate that the presented segmentation method of suspected lung nodules can be completed correctly and automatically,which achieves better performance than the conventional FCM algorithm and is much robust and efficient.

中图分类号: