• DocumentCode
    3532503
  • Title

    Segmentation of abnormal liver using adaptive threshold in abdominal CT images

  • Author

    Seong, Won ; Kim, Jea Hee ; Kim, Eui Jeong ; Park, Jong Won

  • Author_Institution
    Dept. of Inf. & Commun. Eng., Chungnam Nat. Univ., Daejeon, South Korea
  • fYear
    2010
  • fDate
    Oct. 30 2010-Nov. 6 2010
  • Firstpage
    2372
  • Lastpage
    2375
  • Abstract
    It is easy to segment the liver with existing methods using both basic place information (the liver exists on the left of the abdominal CT image) and distribution information of regular gray values. However, the existing methods can not be used for segmenting an abnormal liver. Because the gray values of lesions do not show the original gray values of the liver, lesion parts of the abnormal liver are not regarded as the liver in the existing methods. In this study, we use the adaptive threshold in each slice and the angle line method for the segmentation of the abnormal liver in abdominal CT images.
  • Keywords
    computerised tomography; image segmentation; liver; medical image processing; abdominal CT images; abnormal liver; adaptive threshold; distribution information; image segmentation; lesions; place information; regular gray values; Cancer; Computed tomography; Image segmentation; Lesions; Liver; Pixel; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Nuclear Science Symposium Conference Record (NSS/MIC), 2010 IEEE
  • Conference_Location
    Knoxville, TN
  • ISSN
    1095-7863
  • Print_ISBN
    978-1-4244-9106-3
  • Type

    conf

  • DOI
    10.1109/NSSMIC.2010.5874211
  • Filename
    5874211