14 April 2012 Application of anisotropic structure measures for the classification of μ-CT images of human trabecular bone
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Abstract
We analyze μ-CT tomographic images of human trabecular bone in vitro. We consider a sample consisting of 201 bone specimens harvested from six different skeletal sites with bone fraction in the range BV/TV ε [0.04, 0.075]. Using the local characterization of the bone trabecular network given by isotropic and anisotropic scaling indices, we apply classification algorithms in order to reveal structural similarities in the sample. The classification procedures based on isotropic and anisotropic scaling indices lead to different clustering solutions. This comparison helps revealing interesting site specific structural features connected to the intrinsic anisotropy of the trabecular network.
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Roberto A. Monetti, Roberto A. Monetti, Jan Bauer, Jan Bauer, Irina Sidorenko, Irina Sidorenko, Thomas Baum, Thomas Baum, Ernst Rummeny, Ernst Rummeny, Maiko Matsuura, Maiko Matsuura, Felix Eckstein, Felix Eckstein, Eva-Maria Lochmueller, Eva-Maria Lochmueller, Philippe Zysset, Philippe Zysset, Christoph Räth, Christoph Räth, } "Application of anisotropic structure measures for the classification of μ-CT images of human trabecular bone", Proc. SPIE 8317, Medical Imaging 2012: Biomedical Applications in Molecular, Structural, and Functional Imaging, 831716 (14 April 2012); doi: 10.1117/12.911988; https://doi.org/10.1117/12.911988
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