• DocumentCode
    2094879
  • Title

    Organ boundary determination algorithm for detecting internal bleeding

  • Author

    Ito, Kei ; Sugano, S. ; Iwata, Hiroshi

  • Author_Institution
    Dept. of Creative Sci. & Eng., Waseda Univ., Tokyo, Japan
  • fYear
    2012
  • fDate
    Aug. 28 2012-Sept. 1 2012
  • Firstpage
    3183
  • Lastpage
    3186
  • Abstract
    The purpose of this paper is to propose an organ boundary determination method for detecting internal bleeding. Focused assessment with sonography for trauma (FAST) is important for patients who are sent into shock by internal bleeding. However, the FAST has a low sensitivity, approximately 42.7 %. This study aims, therefore, to construct an automatic internal bleeding detection robotic system on the basis of ultrasound (US) image processing to improve the sensitivity. We developed method for determining algorithms of organ boundaries by low-brightness set analysis, and we detected internal bleeding by the proposed method. Experimental results based on clinical US images of internal bleeding between Liver and Kidney showed that proposed algorithms had a sensitivity of 77.8% and specificity of 95.7%.
  • Keywords
    biomedical ultrasonics; injuries; kidney; liver; medical image processing; medical robotics; Kidney; automatic internal bleeding detection robotic system; clinical US imaging; focused assessment; liver; low-brightness set analysis; organ boundary determination algorithm; sonography; trauma; ultrasound image processing; Biomedical imaging; Brightness; Hemorrhaging; Kidney; Liver; Probes; Sensitivity; Algorithms; Hemorrhage; Humans; Kidney; Liver;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-4119-8
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/EMBC.2012.6346641
  • Filename
    6346641