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Abstract #3119

Automatic Segmentation of MR Images for Long-Bone Cross-Sectional Image Analysis

Shing Chun Benny Lam1, Hamidreza Salilgheh Rad1, Jeremy Magland1, Felix W. Wehrli1

1Radiology, University of Pennsylvania, Philadelphia, PA, United States

A software program has been developed to automatically segment cortical bone region from cross-sectional MR image of long bones such as the tibial shaft and extract geometric and parametric information from the segmented region. Our results show that the parameters obtained from the automatic segmentation software are in good agreement with those obtained from manual segmentation. With these parameters, the mechanical properties of the cortical bone can be quantified and analyzed over subject groups at different stages.