• DocumentCode
    2127360
  • Title

    The quantitative analysis of liver ultrasound images by depth correction

  • Author

    Shih-Yen Hsu ; Wei-Chang Du ; Nan-Han Lu ; Yung-Hui Huang ; Tai-Been Chen

  • Author_Institution
    Dept. of Inf. Eng., I-Shou Univ., Kaohsiung, Taiwan
  • fYear
    2013
  • fDate
    25-26 Feb. 2013
  • Firstpage
    528
  • Lastpage
    530
  • Abstract
    The attenuation in ultrasound is one of primary factor reducing quality of image. The heterogeneity intensity of ultrasound images was made by scatter and attenuation. In this study, the quantitative analysis of liver ultrasound images was performed by three extracted features with and without depth corrections. A tissue phantom and 136 empirical images were involved to evaluate the reliability and performance with three extracted features. The average intensity of ROI with depth correction had better reliability and performance with AUC 0.689 and specificity, sensitivity, and accuracy are 67%, 60%, and 62% with respectively.
  • Keywords
    biological tissues; biomedical ultrasonics; feature extraction; liver; medical image processing; phantoms; ultrasonic absorption; ultrasonic scattering; AUC 0.689; ROI average intensity; attenuation; depth correction; empirical images; feature extraction; heterogeneity intensity; image quality; liver ultrasound images; quantitative analysis; scattering; tissue phantom; Attenuation; Entropy; Feature extraction; Liver; Phantoms; Statistical analysis; Ultrasonic imaging; AUC; heterogeneity intensity; liver ultrasound;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Next-Generation Electronics (ISNE), 2013 IEEE International Symposium on
  • Conference_Location
    Kaohsiung
  • Print_ISBN
    978-1-4673-3036-7
  • Type

    conf

  • DOI
    10.1109/ISNE.2013.6512415
  • Filename
    6512415