• DocumentCode
    3206387
  • Title

    A fast method for spine localization in x-ray images

  • Author

    Chao-Hui Huang

  • Author_Institution
    Agency for Sci., Technol. & Res., Bioinf. Inst., Singapore, Singapore
  • fYear
    2013
  • fDate
    3-7 July 2013
  • Firstpage
    5091
  • Lastpage
    5094
  • Abstract
    Detection of spines in medical images are important tasks in medical applications. These tasks are relatively easy for CT/MR images because the bones are easily distinguishable from other tissues. However, they are difficult for x-ray images due to bone and soft tissue overlapping. This paper illustrates a method for detecting the medial axis of spine in x-ray images. Given an initial point on the spine in the x-ray image manually or automatically, the method iteratively searches for good feature points on the spine to locate the medial axis. As a result, the effort of determining the relevant medical information, such as Cobb´s angle, can be minimized. The proposed method is fast and efficient. In average it took less than 1 second for localizing the spine on a 3000×1000 gray scale x-ray image.
  • Keywords
    X-ray imaging; bone; image recognition; iterative methods; medical image processing; Cobb angle; X-ray images; bone-soft tissue overlap; fast spine localization method; iterative feature point search; medical images; spine detection; Biomedical imaging; Bones; Computed tomography; Shape; Torso; Vectors; X-ray imaging; and x-ray; medical image; spine; torso;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
  • Conference_Location
    Osaka
  • ISSN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/EMBC.2013.6610693
  • Filename
    6610693