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肺结节计算机辅助检测与定位系统


  摘 要:为了实现肺结节的智能识别,开发了肺结节计算机辅助检测与定位系统(SCADP)。该系统包括肺实质分割、候选肺结节分割、肺结节特征选择与提取、肺结节分类、图像配准与融合、结节三维重建与定位和勾画病灶等功能模块。其中,采用活动轮廓模型的分割方法实现候选肺结节分割,采用基于规则与专家系统的决策方法实现肺结节分类;采用自由变形法实现图像配准。基于小波变换的融合方法,以区域标准差与区域能量相结合的融合规则实现多模图像的融合;基于改进的ShearWarp算法快速实现体绘制。实验证明,该肺结节计算机辅助检测与定位系统满足肺结节计算机辅助诊断要求。

  关键词:肺结节; 计算机辅助检测; 分类; 可视化; 系统功能模块

  中图分类号:TP391.4文献标志码:A

  文章编号:1001-3695(2010)06-2184-05

  doi:10.3969/j.issn.1001-3695.2010.06.054

  System of computeraided detection and positioning for lung nodules

  LI Bin1, OU Shanxing1, TIAN Lianfang2, QI Yan1, LIU Siwei2, ZHANG Jing2

  (1. Dept. of Radiology & Pediatrics, Guangzhou General Hospital of Guangzhou Command, Guangzhou 510010, China; 2. School of Automation Science & Engineering, South China University of Technology, Guangzhou 510640, China)

  Abstract:This paper established a system of computeraided detection and positioning for lung nodules(SCADP). The SCADP system included function modules of segmentation of pulmonary parenchyma and candidate pulmonary nodules, selection and extraction of features, classification of lung nodules, image registration and fusion, 3D positioning of nodules, etc. It segmented the system candidate pulmonary nodules by GVF snake model, classified lung nodules based on rules and expert systems, realized the image registration by FFD, realized the multimodal image fusion by the fusion method based on wavelet transform with fusion rule of combining the local standard deviation and energy, and reconstructed 3D images by direct volume rendering based on improved ShearWarp method. Experiments demonstrate that the SCADP providing a good means for computeraided diagnosis of lung nodules and cancer.

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