东北大学学报:自然科学版 ›› 2018, Vol. 39 ›› Issue (11): 1545-1551.DOI: 10.12068/j.issn.1005-3026.2018.11.006

• 信息与控制 • 上一篇    下一篇

基于分形维数特征的肺结节形状建模

赵海, 李雄峰, 朱宏博, 王彬   

  1. (东北大学 计算机科学与工程学院,辽宁 沈阳110169)
  • 收稿日期:2017-07-09 修回日期:2017-07-09 出版日期:2018-11-15 发布日期:2018-11-09
  • 通讯作者: 赵海
  • 作者简介:赵海(1959-),男,辽宁沈阳人,东北大学教授,博士生导师.冯明杰(1971-), 男, 河南禹州人, 东北大学副教授; 王恩刚(1962-), 男, 辽宁沈阳人, 东北大学教授,博士生导师.
  • 基金资助:
    辽宁省科技厅软课题(2015401039); 辽宁省教育厅重点实验室基金资助项目(LZ2014015).

Shape Modeling of Pulmonary Nodules Based on Fractal Dimension Characteristic

ZHAO Hai, LI Xiong-feng, ZHU Hong-bo, WANG Bin   

  1. School of Computer Science & Engineering, Northeastern University, Shenyang 110169, China.
  • Received:2017-07-09 Revised:2017-07-09 Online:2018-11-15 Published:2018-11-09
  • Contact: LI Xiong-feng
  • About author:-
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摘要: 针对肺结节形状建模的问题,提出了一种基于复杂网络的分形维数特征的肺结节形状建模的新方法.首先利用形状轮廓上的采样点之间的欧式距离进行网络化建模,然后利用局部二进制模式值对网络进行动态演化,并利用分形维数对复杂网络的复杂性进行分析.相较于传统形状建模方法,本文方法不仅考虑了形状的局部纹理特征,提高了形状发生非刚性形变的抗干扰能力,还不需要对样本形状进行对齐,提高了建模的效率.使用LIDC-IDRI数据库和沈阳盛京医院的CT资料,经仿真实验,结果表明本文方法能够建立表现良好的肺结节形状模型.

关键词: 局部二进制模式, 盒覆盖算法, 复杂网络, 分形维数, 形状模型

Abstract: Aiming at the modeling of pulmonary nodule shape, a new method to model the shape of pulmonary nodules based on the fractal dimension characteristic of complex networks was proposed. Firstly, the Euclidean distance between the sampling points on the shape contour is modeled by network, then the network is dynamically evolved with LBP(local binary patterns) values, and the complexity of the complex network is analyzed by using the fractal dimension. Compared with the traditional shape modeling method, the proposed method not only considers the local texture feature shape and improves the anti-interference ability to resist non-rigid shape deformation, but also improves the efficiency of modeling with no need of sample shape alignment. Based on the LIDC-IDRI database and the CT data of Shengjing hospital of Shenyang, simulation experiments show that this method performs well on shape model of pulmonary nodules.

Key words: LBP(local binary patterns), box covering algorithm, complex network, fractal dimension, shape model

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