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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.