Journal of South China University of Technology (Natural Science Edition) ›› 2008, Vol. 36 ›› Issue (1): 72-75.

• Electronics, Communication & Automation Technology • Previous Articles     Next Articles

Automatic Segmentation of Pulmonary Parenchyma in Thoracic CT and Computer-Aided Diagnosis

Guo Sheng-wen1  Chen Jian1  Zeng Qing-si2   

  1. 1. Department of Biomedical Engineering, South China University of Technology, Guangzhou 510640, Guangdong, China; 2. Department of Radiology, the First Affiliated Hospital of Guangzhou Medical College, Guangzhou 510120, Guangdong, China
  • Received:2007-03-14 Revised:2007-06-27 Online:2008-01-25 Published:2008-01-25
  • Contact: 郭圣文(1971-),男,博士,讲师,主要从事医学图像处理与计算机辅助诊断方面的研究. E-mail:shwguo@scut.edu.cn.
  • About author:郭圣文(1971-),男,博士,讲师,主要从事医学图像处理与计算机辅助诊断方面的研究.

Abstract:

In order to implement the quantitative analysis and aided diagnosis of emphysema, an aaaputive thresholdsegmenting and contour-tracing method was proposed to automatically extract the information of pulmonary parenchyma from high-resolution CT images, and the region and severity of emphysema were then determined according to the quantitative analysis criterion based on density distribution. Experimental results show that the proposed method can segment the pulmonary parenchyma automatically with accurate and effective results, and can statistically analyze the pathological change regions, thus implementing the quantitative analysis and exact diagnosis of emphysema.

Key words: high resolution CT, medical image, lung region, segmentation, aided diagnosis