• DocumentCode
    3142918
  • Title

    Partial shape matching of spine X-ray shapes using dynamic programming

  • Author

    Xu, Xiaoqian ; Lee, D.J. ; Antani, Sameer ; Long, L. Rodney

  • Author_Institution
    Dept. of ECEn, Brigham Young Univ., Provo, UT, USA
  • fYear
    2004
  • fDate
    24-25 June 2004
  • Firstpage
    97
  • Lastpage
    102
  • Abstract
    The osteophyte shows only on some particular locations on the vertebra. This indicates that other locations on the vertebra shape contain that are not of interest hinder the spine X-ray image retrieval relevance precision, which motivates our research in partial shape matching (PSM). This paper presents PSM methods for matching shapes with variable number of points and with different data point distributions. Dynamic programming (DP) is proposed for matching partial shapes by allowing merging of the data points in the process of PSM. DP is implemented based on two shape representation methods: line segments and multiple open triangles. The performance evaluation, which is based on human relevance judgements of these two shape representations in PSM is also presented.
  • Keywords
    content-based retrieval; diagnostic radiography; dynamic programming; image matching; image retrieval; medical image processing; dynamic programming; human relevance judgements; image retrieval; line segments; multiple open triangles; partial shape matching; performance evaluation; shape representation; spine X-ray shapes; Biomedical communication; Biomedical imaging; Costs; Dynamic programming; Feature extraction; Image retrieval; Merging; Pathology; Shape; X-ray imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer-Based Medical Systems, 2004. CBMS 2004. Proceedings. 17th IEEE Symposium on
  • ISSN
    1063-7125
  • Print_ISBN
    0-7695-2104-5
  • Type

    conf

  • DOI
    10.1109/CBMS.2004.1311698
  • Filename
    1311698