• DocumentCode
    2976880
  • Title

    Modeling of airway in 4D lung CT images

  • Author

    Rasheed, Z. ; Magee, Derek

  • Author_Institution
    Univ. of Leeds, Leeds, UK
  • fYear
    2012
  • fDate
    22-23 Oct. 2012
  • Firstpage
    187
  • Lastpage
    194
  • Abstract
    Lung cancer is a disease that consists of uncontrolled cell growth in tissues of the lungs. There are a number of different treatment options available for lung cancer. Radiation therapy is a process in which high energy radiation is applied to kill cancer cells and shrink tumors. A treatment plan of patient is developed before radiation therapy in which the clinician spent a lot of time on manually marking the airways on the CT scan images so that airways can be protected while doing the radiotherapy. Work in this paper is a step towards automating the airway segmentation.
  • Keywords
    cancer; computerised tomography; image segmentation; lung; medical image processing; principal component analysis; radiation therapy; tumours; 4D lung CT images; Radiation therapy; airway segmentation; cancer cells; high energy radiation; lung cancer; patient treatment; principal component analysis; tissues; tumors; uncontrolled cell growth; Atmospheric modeling; Computed tomography; Image segmentation; Lungs; Shape; Solid modeling; Training; Dynamic programming; Image Segmentation; Lung cancer; Point distribution model; Principal component analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Artificial Intelligence (ICRAI), 2012 International Conference on
  • Conference_Location
    Rawalpindi
  • Print_ISBN
    978-1-4673-4884-3
  • Type

    conf

  • DOI
    10.1109/ICRAI.2012.6413397
  • Filename
    6413397