• DocumentCode
    2491691
  • Title

    An automated method for hemorrhage detection in traumatic pelvic injuries

  • Author

    Davuluri, Pavani ; Wu, Jie ; Ward, Kevin R. ; Cockrell, Charles H. ; Najarian, Kayvan ; Hobson, Rosalyn S.

  • Author_Institution
    Electr. & Comput. Eng. Dept., Virginia Commonwealth Univ., Richmond, VA, USA
  • fYear
    2011
  • fDate
    Aug. 30 2011-Sept. 3 2011
  • Firstpage
    5108
  • Lastpage
    5111
  • Abstract
    Hemorrhage is the main cause of deaths that occurs within first 24 hours after a traumatic pelvic injury. Therefore, it is very important to determine hemorrhage quickly. Hemorrhages are detected using a CT scan. However, it is very time consuming for physicians to look for hemorrhage in all CT slices. Therefore, an automated system is needed. This paper proposes an automated hemorrhage detection technique by incorporating anatomical information of pelvic region. The results showed method performs comparably to manual methods. A statistical test is conducted to see if the volume of hemorrhage detected using this technique is significantly different from the volume assessed manually.
  • Keywords
    computerised tomography; injuries; statistical analysis; CT scan; automated hemorrhage detection technique; pelvic region; statistical test; traumatic pelvic injuries; Arteries; Biomedical imaging; Bones; Computed tomography; Educational institutions; Hemorrhaging; Image segmentation; Algorithms; Fractures, Bone; Hemorrhage; Humans; Pattern Recognition, Automated; Pelvic Bones; Radiographic Image Interpretation, Computer-Assisted; Reproducibility of Results; Sensitivity and Specificity; Tomography, X-Ray Computed;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
  • Conference_Location
    Boston, MA
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-4121-1
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2011.6091265
  • Filename
    6091265