Physiological Magnetic Resonance imaging (pMRI) offers the potential of diagnosing osteoarthritis at a stage where patients may benefit from intervention, and acting as an assay of disease to test the efficacy of novel early intervention treatments. pMRI data, however, requires segmentation to allow morphological and biochemical quantitative analysis. Manual segmentation is time consuming and a viable automated segmentation method in the hip remains elusive. We have produced a fast, accurate, and reproducible semi-automated method of segmentation to allow wider implementation of pMRI for use in quantitative analysis of early OA in the hip in both research and clinical settings.
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