• DocumentCode
    3049791
  • Title

    Automatic Segmentation and Quantitative Diagnosis of Pulmonary Parenchyma in Thoracic CT

  • Author

    Guo, Shengwen ; Wu, Xiaoming

  • Author_Institution
    Dept. of Biomed. Eng., South China Univ. of Technol., Guangzhou
  • fYear
    2007
  • fDate
    6-8 July 2007
  • Firstpage
    668
  • Lastpage
    670
  • Abstract
    An adaptive threshold segmenting and contour tracing method was applied to extract the pulmonary parenchyma automatically from thoracic CT images. The density distribution of high resolution CT was used to determine the region and severity of emphysema.. Experimental results showed that the novel method can be adopted to segment the pulmonary parenchyma automatically and the accurate and effective results were presented as expected. This method can also be applied on analyzing the pathological change regions, performing quantitative analysis and helping on diagnosis of emphysema.
  • Keywords
    computerised tomography; diseases; image segmentation; lung; medical image processing; adaptive threshold segmenting method; automatic segmentation; contour tracing method; emphysema; pulmonary parenchyma; quantitative diagnosis; thoracic computed tomography; Biomedical engineering; Computed tomography; Feature extraction; Histograms; Image segmentation; Lungs; Pathology; Performance analysis; Pixel;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedical Engineering, 2007. ICBBE 2007. The 1st International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    1-4244-1120-3
  • Type

    conf

  • DOI
    10.1109/ICBBE.2007.174
  • Filename
    4272658