A COMPARISON OF 3D POLY (ε-CAPROLACTONE) TISSUE ENGINEERING SCAFFOLDS PRODUCED WITH CONVENTIONAL AND ADDITIVE MANUFACTURING TECHNIQUES BY MEANS OF QUANTITATIVE ANALYSIS OF SR µ-CT IMAGES

Francesco Brun, Francesca Intranuovo, Sara Mohammadi, Marco Domingos, Pietro Favia, Giuliana Tromba

    Research output: Contribution to journalArticlepeer-review

    Abstract

    The technique used to produce a 3D tissue engineering (TE) scaffold is of fundamental importance in order to guarantee its proper morphological characteristics. An accurate assessment of the resulting structural properties is therefore crucial in order to evaluate the effectiveness of the produced scaffold. Synchrotron radiation (SR) computed microtomography (µ-CT) combined with further image analysis seems to be one of the most effective techniques to this aim. However, a quantitative assessment of the morphological parameters directly from the reconstructed images is a non trivial task. This study considers two different poly(ε-caprolactone) (PCL) scaffolds fabricated with a conventional technique (Solvent Casting Particulate Leaching, SCPL) and an additive manufacturing (AM) technique (BioCell Printing), respectively. With the first technique it is possible to produce scaffolds with random, non-regular, rounded pore geometry. The AM technique instead is able to produce scaffolds with square-shaped interconnected pores of regular dimension. Therefore, the final morphology of the AM scaffolds can be predicted and the resulting model can be used for the validation of the applied imaging and image analysis protocols. It is here reported a SR µ-CT image analysis approach that is able to effectively and accurately reveal the differences in the pore- and throat-size distributions as well as connectivity of both AM and SCPL scaffolds.
    Original languageEnglish
    Number of pages8
    JournalJournal of Instrumentation
    Volume8
    DOIs
    Publication statusPublished - 1 Jul 2013

    Keywords

    • Image reconstruction in medical imaging
    • Analysis and statistical methods

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