Paper
14 April 2012 Application of anisotropic structure measures for the classification of μ-CT images of human trabecular bone
Roberto A. Monetti, Jan Bauer, Irina Sidorenko, Thomas Baum, Ernst Rummeny, Maiko Matsuura, Felix Eckstein, Eva-Maria Lochmueller, Philippe Zysset, Christoph Räth
Author Affiliations +
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.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Roberto A. Monetti, Jan Bauer, Irina Sidorenko, Thomas Baum, Ernst Rummeny, Maiko Matsuura, Felix Eckstein, Eva-Maria Lochmueller, Philippe Zysset, and 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); https://doi.org/10.1117/12.911988
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KEYWORDS
Bone

Distance measurement

Chemical elements

Spine

Minerals

Anisotropy

Image classification

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