• DocumentCode
    2477056
  • Title

    Pelvic Organs Dynamic Feature Analysis for MRI Sequence Discrimination

  • Author

    Rahim, Mehdi ; Bellemare, Marc-Emmanuel ; Bulot, Rémy ; Pirró, Nicolas

  • Author_Institution
    Lab. des Sci. de l´´Inf. et des Syst., Domaine Univ. de St.-Jerome, Marseille, France
  • fYear
    2010
  • fDate
    23-26 Aug. 2010
  • Firstpage
    2496
  • Lastpage
    2499
  • Abstract
    Dynamic magnetic resonance imaging MRI acquisitions are used in the clinical assessment of the pelvic organs behaviour during an abdominal strain. The main organs (bladder, uterus-vagina, rectum) undergo deformations and intrinsic movements along a sequence. Anatomical references and measurements are generally used by clinicians to evaluate pathology grades. In this context, we have established quantitative elements, which consist of deformation and movement features, for the pelvic dynamic characterization, by using shape descriptors computed from organ contours. Moreover, the deformation and movement features relevance has been assessed towards an efficient sequence discrimination and pathology detection.
  • Keywords
    biomedical MRI; feature extraction; image sequences; medical image processing; MRI sequence discrimination; abdominal strain; anatomical references; bladder; clinical assessment; dynamic magnetic resonance imaging MRI acquisitions; pathology detection; pelvic organs behaviour; pelvic organs dynamic feature analysis; rectum; sequence discrimination; uterus-vagina; Accuracy; Bladder; Feature extraction; Magnetic resonance imaging; Pathology; Shape; Support vector machines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition (ICPR), 2010 20th International Conference on
  • Conference_Location
    Istanbul
  • ISSN
    1051-4651
  • Print_ISBN
    978-1-4244-7542-1
  • Type

    conf

  • DOI
    10.1109/ICPR.2010.611
  • Filename
    5595770