Scaling index method: A novel nonlinear technique for the analysis of high-resolution MRI of human bones

Roberto A. Monetti, Holger Boehm, Dirk Mueller, David Newitt, Sharmila Majumdar, Ernst Rummeny, Thomas M. Link, Christoph Raeth

Research output: Contribution to journalConference articlepeer-review

18 Scopus citations

Abstract

The scaling index method (SIM) is a novel non-linear technique to extract structural information from arbitrary data sets. The tomographic images of a three dimensional object can be interpreted as a pixel distribution in a four dimensional space. The SIM provides a distribution of pointwise dimensions which characterizes the structural information of images. The SIM is applied to high resolution magnetic resonance images of human spinal and femoral bone specimens IN VITRO in order to derive a 3d non-linear texture measure which is compared to standard 2d morphometric parameters and bone mineral density in the prediction of biomechanical strength of trabecular bone. Our results show that structural non-linear parameters associated with the trabecular substructure of the bone can effectively predict the mechanical properties of trabecular bone in vitro. This indicates that the trabecular architecture contributes substantially to the biomechanical properties of the bone.

Original languageEnglish
Pages (from-to)1777-1786
Number of pages10
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume5032 III
DOIs
StatePublished - 2003
EventMedical Imaging 2003: Image Processing - San Diego, CA, United States
Duration: 17 Feb 200320 Feb 2003

Keywords

  • Bone Structure Analysis
  • MRI imaging
  • Non-linear Texture Measures
  • Scaling Index Method

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