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