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Proceedings Paper

Application of the scaling index method to µCT images of human trabecular bone for the characterization of biomechanical strength
Author(s): Roberto A. Monetti; Jan Bauer; Dirk Müller; Ernst Rummeny; Maiko Matsuura; Felix Eckstein; Thomas Link; Christoph Räth
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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
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)
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)

Published in SPIE Proceedings Vol. 6512:
Medical Imaging 2007: Image Processing
Josien P. W. Pluim; Joseph M. Reinhardt, Editor(s)

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