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Proceedings Paper

Structure based classification of μ-CT images of human trabecular bone using local Minkowski Functionals
Author(s): Roberto A. Monetti; Jan Bauer; Irina Sidorenko; Dirk Müller; Ernst Rummeny; Maiko Matsuura; Felix Eckstein; Eva-Maria Lochmueller; Philippe Zysset; Christoph Räth
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Paper Abstract

We analyse 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 within a narrow range of bone fraction values. Using the characterization of the trabecular bone network given by local Minkowski Functionals, we apply classification algorithms in order to reveal structural similarities in the sample. Clusters show some interesting specific structural features, like compact, porous, and fragmented structures. The contribution of the different skeletal sites to these clusters indicate some variability due to intrinsic structural differences of the specific skeletal site.

Paper Details

Date Published: 9 March 2011
PDF: 9 pages
Proc. SPIE 7965, Medical Imaging 2011: Biomedical Applications in Molecular, Structural, and Functional Imaging, 79650K (9 March 2011); doi: 10.1117/12.878688
Show Author Affiliations
Roberto A. Monetti, Max-Planck-Institut für extraterrestrische Physik (Germany)
Jan Bauer, Technische Univ. Muenchen (Germany)
Irina Sidorenko, Max-Planck-Institut für extraterrestrische Physik (Germany)
Dirk Müller, Technische Univ. Muenchen (Germany)
Ernst Rummeny, Technische Univ. Muenchen (Germany)
Maiko Matsuura, Ludwig-Maximilians-Univ. (Germany)
Felix Eckstein, Paracelsus Private Medical Univ. (Austria)
Eva-Maria Lochmueller, Ludwig-Maximilians-Univ. (Germany)
Philippe Zysset, Vienna Univ. of Technology (Austria)
Christoph Räth, Max-Planck-Institut für extraterrestrische Physik (Germany)

Published in SPIE Proceedings Vol. 7965:
Medical Imaging 2011: Biomedical Applications in Molecular, Structural, and Functional Imaging
John B. Weaver; Robert C. Molthen, Editor(s)

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