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Three-dimensional analysis of cortical bone structure using X-ray micro-computed tomography

Author

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  • Jones, A.C.
  • Sheppard, A.P.
  • Sok, R.M.
  • Arns, C.H.
  • Limaye, A.
  • Averdunk, H.
  • Brandwood, A.
  • Sakellariou, A.
  • Senden, T.J.
  • Milthorpe, B.K.
  • Knackstedt, M.A.

Abstract

We demonstrate the capability of X-ray micro-computed tomography to image the micro-structure of human cortical bone. At 5μm voxel size we observe the complex morphology of the Haversian network in three dimensions. The local thickness of Haversian canals is measured using a maximal sphere algorithm and found to have a bimodal signature and a mean radius of 19.2μm. The intra-cortical porosity due to Haversian canals is measured as 3.0%. Both results are in agreement with traditional histomorphometric measurements. We show that at higher resolutions one can resolve the spatial distribution of lacunae in cortical bone.

Suggested Citation

  • Jones, A.C. & Sheppard, A.P. & Sok, R.M. & Arns, C.H. & Limaye, A. & Averdunk, H. & Brandwood, A. & Sakellariou, A. & Senden, T.J. & Milthorpe, B.K. & Knackstedt, M.A., 2004. "Three-dimensional analysis of cortical bone structure using X-ray micro-computed tomography," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 339(1), pages 125-130.
    • Handle: RePEc:eee:phsmap:v:339:y:2004:i:1:p:125-130
    DOI: 10.1016/j.physa.2004.03.046
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    1. Sakellariou, A. & Sawkins, T.J. & Senden, T.J. & Limaye, A., 2004. "X-ray tomography for mesoscale physics applications," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 339(1), pages 152-158.
    2. Sheppard, Adrian P. & Sok, Robert M. & Averdunk, Holger, 2004. "Techniques for image enhancement and segmentation of tomographic images of porous materials," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 339(1), pages 145-151.
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    1. Sakellariou, A. & Sawkins, T.J. & Senden, T.J. & Limaye, A., 2004. "X-ray tomography for mesoscale physics applications," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 339(1), pages 152-158.

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