Optimization of digital volume correlation computation in SR-microCT images of trabecular bone and bone-biomaterial systems.

Journal article


Peña Fernández, M, Barber, AH, Blunn, GW and Tozzi, G (2018). Optimization of digital volume correlation computation in SR-microCT images of trabecular bone and bone-biomaterial systems. Journal of Microscopy.
AuthorsPeña Fernández, M, Barber, AH, Blunn, GW and Tozzi, G
Abstract

A micromechanical characterization of biomaterials for bone tissue engineering is essential to understand the quality of the newly regenerated bone, enabling the improvement of tissue regeneration strategies. A combination of microcomputed tomography in conjunction with in situ mechanical testing and digital volume correlation (DVC) has become a powerful technique to investigate the internal deformation of bone structure at a range of dimensional scales. However, in order to obtain accurate three-dimensional strain measurement at tissue level, high-resolution images must be acquired, and displacement/strain measurement uncertainties evaluated. The aim of this study was to optimize imaging parameters, image postprocessing and DVC settings to enhance computation based on 'zero-strain' repeated high-resolution synchrotron microCT scans of trabecular bone and bone-biomaterial systems. Low exposures to SR X-ray radiation were required to minimize irradiation-induced tissue damage, resulting in the need of advanced three-dimensional filters on the reconstructed images to reduce DVC-measured strain errors. Furthermore, the computation of strain values only in the hard phase (i.e. bone, biomaterial) allowed the exclusion of large artefacts localized in the bone marrow. This study demonstrated the suitability of a local DVC approach based on synchrotron microCT images to investigate the micromechanics of trabecular bone and bone-biomaterial composites at tissue level with a standard deviation of the errors in the region of 100 microstrain after a thorough optimization of DVC computation.

Keywordsbone; bone-biomaterial; digital volume correlation; displacement/strain uncertainties; microCT; synchrotron; 0204 Condensed Matter Physics; 0912 Materials Engineering; 0601 Biochemistry And Cell Biology; Microscopy
Year2018
JournalJournal of Microscopy
ISSN1365-2818
Digital Object Identifier (DOI)doi:10.1111/jmi.12745
Publication dates
Print26 Jul 2018
Publication process dates
Deposited16 Aug 2018
Accepted11 Jul 2018
Accepted author manuscript
License
CC BY 4.0
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