• DocumentCode
    1768273
  • Title

    Alignment of X-ray bone images

  • Author

    Mustra, Mario ; Grgic, Mislav ; Zovko-Cihlar, Branka

  • Author_Institution
    Fac. of Electr. Eng. & Comput., Univ. of Zagreb, Zagreb, Croatia
  • fYear
    2014
  • fDate
    27-29 Oct. 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Switching to digital technology from analog brought many changes, especially in storage of digital X-ray images. In cases of multiple fractures or need for imaging of a large area it is necessary to make more than one X-ray image for the observed part of body. This is often the case with spine, legs and arms. Radiologists use dedicated workstations to view X-ray results and need to manually switch between different images to be able to complete the examination of longer bone segments. Dedicated software gives some possibility of automatic or semiautomatic image stitching which allows combining of multiple images into one. In this paper we propose a method for automatic detection of bone position in X-ray images of arms and legs and their automatic alignment with one of image´s borders.
  • Keywords
    bone; diagnostic radiography; feature extraction; fracture; image fusion; information storage; medical image processing; neurophysiology; X-ray bone image alignment; analog technology; arm X-ray imaging; automatic bone position detection; dedicated software; dedicated workstation; digital X-ray image storage; digital technology; image border; large bone area imaging; leg X-ray imaging; long bone segment examination; manual image switching; multiple bone fracture; multiple image combination; semiautomatic image stitching; spine X-ray imaging; Biomedical imaging; Bones; Image edge detection; Image registration; Image segmentation; Transforms; X-ray imaging; X-ray; alignment; bone images; registration; segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Telecommunications (BIHTEL), 2014 X International Symposium on
  • Conference_Location
    Sarajevo
  • Print_ISBN
    978-1-4799-8038-3
  • Type

    conf

  • DOI
    10.1109/BIHTEL.2014.6987650
  • Filename
    6987650