• DocumentCode
    1979807
  • Title

    The influence of preprocessing of CT images on airway tree segmentation using 3D region growing

  • Author

    Fabijacska, A.

  • Author_Institution
    Comput. Eng. Dept., Tech. Univ. of Lodz, Lodz
  • fYear
    2009
  • fDate
    22-24 April 2009
  • Firstpage
    85
  • Lastpage
    88
  • Abstract
    In this paper problem of airway tree segmentation from CT data sets was regarded. The idea of segmentation using 3D seeded region growing algorithm was introduced. Common problems arising during extracting airway tree from CT data using region growing method were explained. Especially problem of leakage from airway into the lung parenchyma was outlined. Common methods of CT data sets preprocessing were tested in order to check their influence on quality of image segmentation using region growing. Results were presented and discussed.
  • Keywords
    computerised tomography; diagnostic radiography; feature extraction; image segmentation; lung; medical image processing; 3D seeded region growing algorithm; CT image preprocessing; airway tree extraction; airway tree segmentation; computed tomography; image quality; lung parenchyma; Computed tomography; Data mining; Diseases; Humans; Image reconstruction; Image segmentation; Lungs; Respiratory system; Smoothing methods; X-ray imaging; 3D Region Growing; Airway Tree; CT; Computed Tomography; Segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Perspective Technologies and Methods in MEMS Design, 2009. MEMSTECH 2009. 2009 5th International Conference on
  • Conference_Location
    Zakarpattya
  • Print_ISBN
    978-966-2191-06-6
  • Type

    conf

  • Filename
    5069716