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• W2072039167 abstract "We introduce an image structure analysis technique suitable in cases where anisotropy plays an important role. The so-called Locally Adapted Scaling Vector Method (LSVM) comprises two steps. First, a procedure to estimate the local main orientation at every point of the image is applied. These orientations are then incorporated in a structure characterization procedure. We apply this methodology to High Resolution Magnetic Resonance Images (HRMRI) of human proximal femoral specimens IN VITRO. We extract a 3<i>D</i> local texture measure to establish correlations with the biomechanical properties of bone specimens quantified via the bone maximum compressive strength. The purpose is to compare our results with the prediction of bone strength using similar isotropic texture measures, bone mineral density, and standard 2<i>D</i> morphometric parameters. Our findings suggest that anisotropic texture measures are superior in cases where directional properties are relevant." @default.
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• W2072039167 date "2005-04-29" @default.
• W2072039167 modified "2023-09-24" @default.
• W2072039167 title "Structural analysis of human proximal femur for the prediction of biomechanical strength in vitro: the locally adapted scaling vector method" @default.
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• W2072039167 doi "https://doi.org/10.1117/12.594470" @default.
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