• DocumentCode
    2491758
  • Title

    Automatic estimation of pelvic organ anatomical references

  • Author

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

  • Author_Institution
    LSIS Lab., Aix-Marseille Univ., Marseille, France
  • fYear
    2011
  • fDate
    Aug. 30 2011-Sept. 3 2011
  • Firstpage
    5124
  • Lastpage
    5127
  • Abstract
    Pelvic floor diseases cover pathologies of which physiopathology is not well understood. 2D sagittal MRI sequences used in the clinical assessment allow to visualize the dynamic behavior of the main organs involved (bladder, uterus-vagina and rectum). Clinicians use anatomical landmarks and measurements related to the pelvic organs in their pathology assessment. Usually, those tasks are performed manually which results in being both tedious and subject to operator dependency. A methodology is proposed to attempt a quantitative and objective characterization of the organ behaviors under abdominal strain condition. This approach automatically assesses the organ movements, through the estimation of characteristic angles (anorectal angle, uterovaginal angle, bladder inclination), and the tracking of anatomically significant points (anorectal angle vertex, uterovaginal angle vertex, bladder neck). From a multi-subject analysis, pathological organs have been distinguished from healthy ones, which shows the relevance of the computed features. In addition, a stability analysis has shown the soundness of the approach.
  • Keywords
    angular measurement; anthropometry; biological organs; biomedical MRI; bone; 2D sagittal MRI sequences; anatomical landmarks; anatomical measurements; anorectal angle vertex; bladder inclination; bladder neck; characteristic angles; organ dynamic behavior; organ movements; pathology assessment; pelvic floor diseases; pelvic organ anatomical reference automatic estimation; rectum; uterovaginal angle vertex; uterus; Approximation methods; Bladder; Magnetic resonance imaging; Neck; Pathology; Shape; Strain; Algorithms; Female; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Magnetic Resonance Imaging; Pattern Recognition, Automated; Pelvic Floor; Pelvic Floor Disorders; Reproducibility of Results; Sensitivity and Specificity; Viscera;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
  • Conference_Location
    Boston, MA
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-4121-1
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2011.6091269
  • Filename
    6091269