• DocumentCode
    3051174
  • Title

    A New Method for Detection of Pulmonary Nodules

  • Author

    Gao Yuanyuan ; Lv Qingwen ; Feng Qianjin ; Chen Wufan

  • Author_Institution
    Dept. of Biomed. Eng., Southern Med. Univ., Guangzhou
  • fYear
    2007
  • fDate
    6-8 July 2007
  • Firstpage
    980
  • Lastpage
    983
  • Abstract
    In order to find the pulmonary nodules at the early stage of lung cancer or in duty check, we must detect the pulmonary nodules quickly and exhaustively, especially the small nodules which are often omitted by doctors. A new TMH (template-matching with Hessian matrix) method is proposed in this paper. First lung lobes are gained. Fhen FM (template-matching method) is used to detect the pulmonary nodules. Fhen the Hessian matrix is imported into the method. With this new method, we can decrease the true positive rate markedly. FMH method has been proved to be quick, complete and has low true positive rate.
  • Keywords
    cancer; computerised tomography; lung; medical image processing; Hessian matrix; high-resolution CT; lung cancer; lung lobes; pulmonary nodule detection; template matching method; Arithmetic; Biomedical engineering; Biomedical imaging; Cancer detection; Computed tomography; Detection algorithms; Image segmentation; Lesions; Lungs; 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.2007.254
  • Filename
    4272738