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Computed Tomography Based Biomechanics

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Front. Mater. | doi: 10.3389/fmats.2017.00039

Combining coherent hard X-ray tomographies with phase retrieval to generate three-dimensional models of forming bone

  • 1Max Planck Institute of Colloids and Interfaces (MPG), Germany
  • 2Institut National des Sciences Appliquées de Lyon (INSA), France
  • 3European Synchrotron Radiation Facility, France
  • 4Julius Wolff Institute, Charité Universitätsmedizin Berlin, Germany
  • 5Department for Restorative and Preventive Dentistry, Charité Universitätsmedizin Berlin, Germany

Holotomography, a phase sensitive synchrotron-based μCT modality, is a quantitative 3D imaging method. By exploiting partial spatial X-ray coherence, bones can be imaged volumetrically with high resolution coupled with impressive density sensitivity. This tomographic method reveals the main characteristics of the important tissue compartments in forming bones, including the rapidly-changing soft tissue and the partially or fully mineralized bone regions, while revealing subtle density differences in 3D. Here we show typical results observed within the growing femur bone midshafts of healthy mice that are 1, 3, 7, 10 and 14 days old (postpartum). Our results make use of partially-coherent synchrotron radiation employing inline Fresnel-propagation in multiple tomographic datasets obtained in the imaging beamline ID19 of the ESRF. The exquisite detail creates maps of the juxtaposed soft, partially mineralized and highly mineralized bone revealing the environment in which bone cells create and shape the matrix. This high resolution 3D data is a step towards creating realistic computational models that may be used to study the dynamic processes involved in bone tissue formation and adaptation. Such data will enhance our understanding of the important biomechanical interactions directing maturation and shaping of the bone micro- and macro-geometries.

Keywords: Mouse, Femur, Bone formation, midshaft, 3D data, Holotomography

Received: 30 Aug 2017; Accepted: 02 Nov 2017.

Edited by:

Gianluca Tozzi, University of Portsmouth, United Kingdom

Reviewed by:

Antonio DiCarlo, CECAM–IT–SIMUL Node, Italy
Enrico Dall'Ara, University of Sheffield, United Kingdom  

Copyright: © 2017 Bortel, Langer, Rack, Forien, Duda, Fratzl and Zaslansky. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence:
Dr. Emely L. Bortel, Max Planck Institute of Colloids and Interfaces (MPG), Potsdam, Germany, emely.bortel@mpikg.mpg.de
Dr. Paul Zaslansky, Charité Universitätsmedizin Berlin, Department for Restorative and Preventive Dentistry, Berlin, Germany, Paul.Zaslansky@charite.de