• DocumentCode
    1739641
  • Title

    Organ segmentation by comparing of gray value portion on abdominal CT image

  • Author

    Yoo, Seung-Wha ; Cho, Jun-Sik ; Noh, Seung-Mu ; Shin, Kyung-Suk ; Park, Jong-Won

  • Author_Institution
    Dept. of Inf. Commun. Eng., Chungnam Nat. Univ., Taejon, South Korea
  • Volume
    2
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    1201
  • Abstract
    In this study, we segmented an organ from noise which has a different gray value distribution, through using a gray value portion, since each internal organ has its own gray value portion according to each gray value. We performed an effective segmentation by using the subtraction method, with a generated template from the mesh image. The method of using the template can be used to segment the organ which have the different gray value distribution because it solves the problem of the existing method it is difficult to extract noise with the same gray value range
  • Keywords
    biological organs; computerised tomography; image segmentation; medical image processing; noise; abdominal CT image; gray value distribution; gray value portion; internal organ; liver; location searching; mesh image; noise; organ segmentation; preprocessing; spleen; subtraction method; template; Abdomen; Computed tomography; Filtering algorithms; Filters; Image segmentation; Liver; Mesh generation; Pixel; Radiology; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Proceedings, 2000. WCCC-ICSP 2000. 5th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    0-7803-5747-7
  • Type

    conf

  • DOI
    10.1109/ICOSP.2000.891764
  • Filename
    891764