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Biomimetic Boundary-Based Scaffold Design for Tissue Engineering Applications

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Computer-Aided Tissue Engineering

Part of the book series: Methods in Molecular Biology ((MIMB,volume 2147))

Abstract

The design of optimized scaffolds for tissue engineering and regenerative medicine is a key topic of current research, as the complex macro- and micro-architectures required for scaffold applications depend not only on the mechanical properties but also on the physical and molecular queues of the surrounding tissue within the defect site. Thus, the prediction of optimal features for tissue engineering scaffolds is very important, for both its physical and biological properties.

The relationship between high scaffold porosity and high mechanical properties is contradictory, as it becomes even more complex due to the scaffold degradation process. Biomimetic design has been considered as a viable method to design optimum scaffolds for tissue engineering applications. In this research work, the scaffold designs are based on biomimetic boundary-based bone micro-CT data. Based on the biomimetic boundaries and with the aid of topological optimization schemes, the boundary data and given porosity is used to obtain the initial scaffold designs. In summary, the proposed scaffold design scheme uses the principles of both the boundaries and porosity of the micro-CT data with the aid of numerical optimization and simulation tools.

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Acknowledgments

The authors also wish to thank Prof. Anath Fischer from the Technion University in Haifa for supplying the micro-CT data.

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Correspondence to Henrique A. Almeida or Paulo J. Bártolo .

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Almeida, H.A., Bártolo, P.J. (2021). Biomimetic Boundary-Based Scaffold Design for Tissue Engineering Applications. In: Rainer, A., Moroni, L. (eds) Computer-Aided Tissue Engineering. Methods in Molecular Biology, vol 2147. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-0611-7_1

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  • DOI: https://doi.org/10.1007/978-1-0716-0611-7_1

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  • Publisher Name: Humana, New York, NY

  • Print ISBN: 978-1-0716-0610-0

  • Online ISBN: 978-1-0716-0611-7

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