Structural analysis of human proximal femur for the prediction of biomechanical strength in vitro: the locally adapted scaling vector method

Roberto A. Monetti; Holger Boehm; Dirk Mueller; Ernst Rummeny; Thomas Link; Christoph Raeth

doi:10.1117/12.594470

29 April 2005 Structural analysis of human proximal femur for the prediction of biomechanical strength in vitro: the locally adapted scaling vector method

Roberto A. Monetti, Holger Boehm, Dirk Mueller, Ernst Rummeny, Thomas Link, Christoph Raeth

Author Affiliations +

Proceedings Volume 5747, Medical Imaging 2005: Image Processing; (2005) https://doi.org/10.1117/12.594470
Event: Medical Imaging, 2005, San Diego, California, United States

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 3D 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 2D morphometric parameters. Our findings suggest that anisotropic texture measures are superior in cases where directional properties are relevant.

Citation Download Citation

Roberto A. Monetti, Holger Boehm, Dirk Mueller, Ernst Rummeny, Thomas Link, and Christoph Raeth "Structural analysis of human proximal femur for the prediction of biomechanical strength in vitro: the locally adapted scaling vector method", Proc. SPIE 5747, Medical Imaging 2005: Image Processing, (29 April 2005); https://doi.org/10.1117/12.594470

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