
Proceedings Paper
Application of the scaling index method to µCT images of human trabecular bone for the characterization of biomechanical strengthFormat | Member Price | Non-Member Price |
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Paper Abstract
Osteoporosis is a metabolic bone disorder characterized by the loss of bone mineral density (BMD) and the
deterioration of the bone micro-architecture. Rarefied bone structures are more susceptible to fractures which
are the worst complications of osteoporosis. Here, we apply a structure characterization method, namely the
Scaling Index Method, to micro-computed tomographic (&mgr;-CT) images of the distal radius and extract 3D nonlinear
structure measures to assess the biomechanical properties of trabecular bone. Biomechanical properties
were quantified by the maximum compressive strength (MCS) obtained in a biomechanical test and bone mineral
density (BMD) was calculated using dual X-ray absorptiometry (DXA). &mgr;-CT images allow for the application of
two different modalities of the SIM which differ in the dimensional embedding of the image. Both representations
lead to similar correlation coefficients with MCS which are significantly better than the ones obtained using
standard 3D morphometric parameters and comparable to the result given by BMD. The analysis of &mgr;-CT
images based on the SIM allows for a sharp distinction of the different structural elements which compose the
trabecular bone network.
Paper Details
Date Published: 3 March 2007
PDF: 10 pages
Proc. SPIE 6512, Medical Imaging 2007: Image Processing, 65124H (3 March 2007); doi: 10.1117/12.709195
Published in SPIE Proceedings Vol. 6512:
Medical Imaging 2007: Image Processing
Josien P. W. Pluim; Joseph M. Reinhardt, Editor(s)
PDF: 10 pages
Proc. SPIE 6512, Medical Imaging 2007: Image Processing, 65124H (3 March 2007); doi: 10.1117/12.709195
Show Author Affiliations
Roberto A. Monetti, Max-Planck-Institut fuer extraterrestrische Physik (Germany)
Jan Bauer, Technische Univ. Muenchen (Germany)
Max-Planck-Institut fuer extraterrestrische Physik (Germany)
Dirk Müller, Technische Univ. Muenchen (Germany)
Ernst Rummeny, Technische Univ. Muenchen (Germany)
Jan Bauer, Technische Univ. Muenchen (Germany)
Max-Planck-Institut fuer extraterrestrische Physik (Germany)
Dirk Müller, Technische Univ. Muenchen (Germany)
Ernst Rummeny, Technische Univ. Muenchen (Germany)
Maiko Matsuura, Ludwig-Maximilians-Univ., Munich (Germany)
Felix Eckstein, Paracelsus Private Medical Univ. (Austria)
Thomas Link, Univ. of California/San Francisco (United States)
Christoph Räth, Max-Planck-Institut fuer extraterrestrische Physik (Germany)
Felix Eckstein, Paracelsus Private Medical Univ. (Austria)
Thomas Link, Univ. of California/San Francisco (United States)
Christoph Räth, Max-Planck-Institut fuer extraterrestrische Physik (Germany)
Published in SPIE Proceedings Vol. 6512:
Medical Imaging 2007: Image Processing
Josien P. W. Pluim; Joseph M. Reinhardt, Editor(s)
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