• DocumentCode
    3463420
  • Title

    An image processing system for the automatic extraction of craniofacial landmarks

  • Author

    Cardillo, J. ; Sid-Ahmed, M.A.

  • Author_Institution
    Dept. of Electr. Eng., Windsor Univ., Ont., Canada
  • fYear
    1991
  • fDate
    2-9 Nov. 1991
  • Firstpage
    2124
  • Abstract
    A novel algorithm has been developed to locate craniofacial landmarks on skull X-rays. The locations of these landmarks are used by orthodontists for cephalometric evaluations. The proposed image processing method uses mathematical morphology to generate a target recognition error function whose surface is minimized to estimate the probable location of a landmark. An automatic training procedure accompanies the proposed algorithm. The training provides the means by which the algorithm may automatically learn to deal with subtle differences in a landmark´s appearance. A novel decomposition technique that provides some size invariance and a method for minimizing the search window sizes are also presented. A system was trained to locate 20 landmarks. Tests on 40 X-rays showed an 88% recognition rate and a mean location error of 1.1 mm.<>
  • Keywords
    bone; diagnostic radiography; medical image processing; algorithm; automatic extraction; automatic training procedure; cephalometric evaluations; craniofacial landmarks; decomposition technique; image processing system; location error; mathematical morphology; orthodontists; search window size minimization; size invariance; skull X-rays; surface minimization; target recognition error function; Graphics; Image processing; Morphological operations; Robustness; Shape; Skull; Surface morphology; Surface topography; Target recognition; X-rays;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Nuclear Science Symposium and Medical Imaging Conference, 1991., Conference Record of the 1991 IEEE
  • Conference_Location
    Santa Fe, NM, USA
  • Print_ISBN
    0-7803-0513-2
  • Type

    conf

  • DOI
    10.1109/NSSMIC.1991.259291
  • Filename
    259291