• DocumentCode
    1826077
  • Title

    The echotextural characteristics for the diagnosis of the liver cirrhosis using the sonographic images

  • Author

    Ji-Wook Jeong ; Sooyeul Lee ; Jeong Won Lee ; Done-Sik Yoo ; Seunghwan Kim

  • Author_Institution
    Electron. & Telecommun. Res. Inst., Seoul
  • fYear
    2007
  • fDate
    22-26 Aug. 2007
  • Firstpage
    1343
  • Lastpage
    1345
  • Abstract
    Various statistical parameters have been tried for the computer-aided diagnosis of the liver fibrosis. The region of interest (ROI) for the liver and spleen parenchymas have been chosen, and the hepatolienal textural contrast for each ultrasound (US) image has been examined. The selectively chosen textural parameters are linearly combined with the pre-determined coefficients to give the computer-aided diagnostic parameter for the liver fibrosis, whose final stage is named as cirrhosis. From the comparison with the clinical diagnosis it is suggested that the proposed calculation scheme using the textural parameters show the quite promising classification performance for the computer-aided diagnosis of the liver cirrhosis.
  • Keywords
    biomedical ultrasonics; image classification; image sampling; image texture; liver; medical image processing; statistical analysis; computer-aided diagnosis; echotextural characteristics; hepatolienal textural contrast; image classification; liver cirrhosis diagnosis; liver fibrosis; region-of-interest sampling; sonographic images; spleen parenchymas; statistical parameters; ultrasound image; Biopsy; Clinical diagnosis; Computer aided diagnosis; Gold; Liver diseases; Needles; Sampling methods; Ultrasonic imaging; Ultrasonography; Veins; Algorithms; Artificial Intelligence; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Liver Cirrhosis; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Ultrasonography;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
  • Conference_Location
    Lyon
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-0787-3
  • Type

    conf

  • DOI
    10.1109/IEMBS.2007.4352546
  • Filename
    4352546