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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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 ∈ [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.

Original languageEnglish
Title of host publicationMedical Imaging 2012
Subtitle of host publicationBiomedical Applications in Molecular, Structural, and Functional Imaging
DOIs
StatePublished - 2012
EventMedical Imaging 2012: Biomedical Applications in Molecular, Structural, and Functional Imaging - San Diego, CA, United States
Duration: 5 Feb 20127 Feb 2012

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume8317
ISSN (Print)1605-7422

Conference

ConferenceMedical Imaging 2012: Biomedical Applications in Molecular, Structural, and Functional Imaging
Country/TerritoryUnited States
CitySan Diego, CA
Period5/02/127/02/12

Keywords

  • Bone structure analysis
  • Clustering
  • Scaling indices
  • μ-CT imaging

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