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μCT based assessment of mechanical deformation of designed PTMC scaffolds

Research output: Contribution to journalArticleScientificpeer-review

Details

Original languageEnglish
Pages (from-to)99-108
Number of pages10
JournalClinical Hemorheology and Microcirculation
Volume60
Issue number1
DOIs
Publication statusPublished - 2 Jul 2015
Publication typeA1 Journal article-refereed

Abstract

BACKGROUND: Advances in rapid-prototyping and 3D printing technologies have enhanced the possibilities in preparing designed architectures for tissue engineering applications.Amajor advantage in custom designing is the ability to create structures with desired mechanical properties. While the behaviour of a designed scaffold can be simulated using bulk material properties, it is important to verify the behaviour of a printed scaffold at the microstructure level. OBJECTIVE: In this study we present an effective method in validating the mechanical behaviour of designed scaffolds using a CT with an in-situ mechanical deformation device. METHODS: The scaffolds were prepared from biodegradable poly(trimethylene carbonate) (PTMC) by stereolithography and images obtained using a high-resolution CT with 12.25 m isometric voxels. The data was processed (filtering, segmentation) and analysed (surface generation, registration) to extract relevant deformation features. RESULTS: The computed local deformation fields, calculated at sub-pore resolutions, displayed expected linear behaviour within the scaffold along the compressions axis. On planes perpendicular to this axis, the deformations varied by 150-200 m. CONCLUSIONS: μ CT based imaging with in-situ deformation provides a vital tool in validating the design parameters of printed scaffolds. Deformation fields obtained from micro-tomographic image volumes can serve to corroborate the simulated ideal design with the realized product.

Keywords

  • 3D-printing, in-situ deformation, MicroCT, poly(trimethylene carbonate), PTMC, scaffold design

Publication forum classification

Field of science, Statistics Finland