Structure based classification of μ-CT images of human trabecular bone using local Minkowski Functionals

Roberto A. Monetti, Jan Bauer, Irina Sidorenko, Dirk Müller, Ernst Rummeny, Maiko Matsuura, Felix Eckstein, Eva Maria Lochmueller, Philippe Zysset, Christoph Räth

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

2 Scopus citations

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.

Original languageEnglish
Title of host publicationMedical Imaging 2011
Subtitle of host publicationBiomedical Applications in Molecular, Structural, and Functional Imaging
DOIs
StatePublished - 2011
EventMedical Imaging 2011: Biomedical Applications in Molecular, Structural, and Functional Imaging - Lake Buena Vista, FL, United States
Duration: 13 Feb 201116 Feb 2011

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume7965
ISSN (Print)1605-7422

Conference

ConferenceMedical Imaging 2011: Biomedical Applications in Molecular, Structural, and Functional Imaging
Country/TerritoryUnited States
CityLake Buena Vista, FL
Period13/02/1116/02/11

Keywords

  • Bone structure analysis
  • Clustering
  • Minkowski functionals
  • μ-CT imaging

Fingerprint

Dive into the research topics of 'Structure based classification of μ-CT images of human trabecular bone using local Minkowski Functionals'. Together they form a unique fingerprint.

Cite this