• DocumentCode
    3270315
  • Title

    Based on statistical analysis and 3D region growing segmentation method of liver

  • Author

    Junbin Huang ; Lingquan Meng ; Wenhong Qu ; Chenhui Wang

  • Author_Institution
    Software Coll., Northeastern Univ., Shenyang, China
  • fYear
    2011
  • fDate
    18-20 Jan. 2011
  • Firstpage
    478
  • Lastpage
    482
  • Abstract
    As the traditional image segmentation methods can not show the location targets of object clearly and accurately. The paper base on statistical analysis and 3D region growing segmentation method of the liver. First of all, the original abdominal volume data base on thresholding segmentation algorithm which is based on statistical analysis to achieve pre-treatment; Secondly, the volume data after pre-treatment base on volume rendering which base on RC algorithm to achieve three-dimensional visualization of abdominal CT images; Then, based on 3D region growing algorithm for three-dimensional abdominal images of liver segmentation. Through the design of the liver segmentation experiment from abdominal CT images to validate the effectiveness of the method of paper.
  • Keywords
    data visualisation; image segmentation; liver; medical image processing; rendering (computer graphics); statistical analysis; 3D region growing algorithm; 3D region growing segmentation method; RC algorithm; abdominal CT images; abdominal volume database; image segmentation method; liver segmentation; statistical analysis; three dimensional abdominal images; three dimensional visualization; thresholding segmentation algorithm; volume rendering; Data visualization; Image segmentation; Liver; Statistical analysis; region growing algorithm; threshold segmentation algorithm; volume data;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computer Control (ICACC), 2011 3rd International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4244-8809-4
  • Electronic_ISBN
    978-1-4244-8810-0
  • Type

    conf

  • DOI
    10.1109/ICACC.2011.6016458
  • Filename
    6016458