• DocumentCode
    3648555
  • Title

    MRI-based semi-automatic pelvimetry measurement for pelvic organ prolapse diagnosis

  • Author

    S. Onal;S. Lai-Yuen;S. Hart;P. Bao;A. Weitzenfeld

  • Author_Institution
    Univ. of South Florida, Tampa, FL, USA
  • fYear
    2012
  • fDate
    7/1/2012 12:00:00 AM
  • Firstpage
    804
  • Lastpage
    808
  • Abstract
    Magnetic resonance imaging (MRI) pelvimetry measurements are useful in the diagnosis of pelvic organ prolapse given the inaccuracy of clinical examination. However, MRI measurements are currently performed manually and can be inconsistent, time-consuming and inaccurate. In this paper, we present a scheme for semi-automatic measurements on MR images based on multi scale wavelet analysis. The experiments on the MR images show that the presented scheme can detect the points of reference on the pelvic bone structure to determine the lines needed for the assessment of pelvic organ prolapse. This may lead towards more accurate and faster pelvic organ prolapse diagnosis on dynamic MR studies, and possible screening procedures for predicting predisposition to pelvic organ prolapse by radiologic evaluation of pelvimetry measurements.
  • Keywords
    "Image edge detection","Magnetic resonance imaging","Approximation methods","Surgery","Joints","Wavelet analysis","Image segmentation"
  • Publisher
    ieee
  • Conference_Titel
    Information Science, Signal Processing and their Applications (ISSPA), 2012 11th International Conference on
  • Print_ISBN
    978-1-4673-0381-1
  • Type

    conf

  • DOI
    10.1109/ISSPA.2012.6310663
  • Filename
    6310663