• DocumentCode
    1771762
  • Title

    Automated extraction of anatomic landmarks on vertebrae based on anatomic knowledge and geometrical constraints

  • Author

    YAO, Jianhua ; Burns, Joseph E. ; Getty, Sasha ; Stieger, James ; Summers, Ronald M.

  • fYear
    2014
  • fDate
    April 29 2014-May 2 2014
  • Firstpage
    397
  • Lastpage
    400
  • Abstract
    The determination of anatomic landmarks is an essential step in modeling, shape analysis, segmentation, and registration of the spine, as well as in spine interventions. In this paper, we propose a method to automatically partition each vertebra into anatomic substructures and extract the relevant anatomic landmarks. Anatomic knowledge is integrated in geometrical modeling for the landmark localization. Each vertebra is automatically partitioned into four substructures, and 43 anatomical landmarks are identified. The locations were validated with manual annotation from medical experts. The results showed that the automatic landmarks agreed with manually labeled reference standard landmarks (1.9±1.3mm).
  • Keywords
    bone; computerised tomography; feature extraction; image registration; image segmentation; medical image processing; neurophysiology; orthopaedics; anatomic knowledge; anatomic landmarks; anatomic substructures; automated extraction; geometrical constraints; geometrical modeling; landmark localization; manual annotation; manually labeled reference standard landmarks; shape analysis; spine interventions; spine registration; spine segmentation; vertebrae; Analytical models; Computational modeling; Irrigation; Manuals; Medical diagnostic imaging; Surface morphology; anatomic landmark; computer aided detection; vertebrae;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging (ISBI), 2014 IEEE 11th International Symposium on
  • Conference_Location
    Beijing
  • Type

    conf

  • DOI
    10.1109/ISBI.2014.6867892
  • Filename
    6867892