• DocumentCode
    3016671
  • Title

    Hierarchical segmentation of cervical and lumbar vertebrae using a customized generalized Hough transform and extensions to active appearance models

  • Author

    Howe, Benjamin ; Gururajan, Arunkumar ; Sari-Sarraf, Hamed ; Long, L. Rodney

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Texas Tech Univ., Lubbock, TX, USA
  • fYear
    2004
  • fDate
    28-30 March 2004
  • Firstpage
    182
  • Lastpage
    186
  • Abstract
    The paper describes a semi-automatic segmentation method for application to cervical and lumbar X-ray images. The method consists of a three stage, coarse to fine, segmentation process utilizing the generalised Hough transform for one stage, and active appearance models for two stages. Customizations to these algorithms are introduced, and segmentation results for 273 cervical X-ray images and 262 lumbar X-ray images are presented.
  • Keywords
    Hough transforms; bone; diagnostic radiography; edge detection; image segmentation; medical image processing; orthopaedics; X-ray images; active appearance models; cervical vertebrae; customization; edge detection; generalized Hough transform; hierarchical segmentation; lumbar vertebrae; Active appearance model; Biomedical imaging; Image analysis; Image edge detection; Image segmentation; Radiography; Robustness; Shape; Spine; X-ray imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Analysis and Interpretation, 2004. 6th IEEE Southwest Symposium on
  • Print_ISBN
    0-7803-8387-7
  • Type

    conf

  • DOI
    10.1109/IAI.2004.1300970
  • Filename
    1300970