ArticleMaterials (Basel, Switzerland)2019
Parametric Modeling of Biomimetic Cortical Bone Microstructure for Additive Manufacturing.
Article in Materials (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- 3D printed polycaprolactone/β-tricalcium phosphate/carbon nanotube composite - Physical properties and biocompatibility.Heliyon · 2024Article
- Aligned Ice Templated Biomaterial Strategies for the Musculoskeletal System.Advanced healthcare materials · 2023Review
- Bioengineering Composite Aerogel-Based Scaffolds That Influence Porous Microstructure, Mechanical Properties and In Vivo Regeneration for Bone Tissue Application.Materials (Basel, Switzerland) · 2023Review
- Predictive Modeling of Soft Stretchable Nanocomposites Using Recurrent Neural Networks.Polymers · 2022Article
- Correlation of Bone Material Model Using Voxel Mesh and Parametric Optimization.Materials (Basel, Switzerland) · 2022Article
- An original method of simulating the articular cartilage in the context ofExperimental and therapeutic medicine · 2022Article
- New Horizons for Hydroxyapatite Supported by DXA Assessment-A Preliminary Study.Materials (Basel, Switzerland) · 2022Article
- A Review on Development of Bio-Inspired Implants Using 3D Printing.Biomimetics (Basel, Switzerland) · 2021Review
- Characterization of Soft Tooling Photopolymers and Processes for Micromixing Devices with Variable Cross-Section.Micromachines · 2020Article
- Biologically Inspired Collagen/Apatite Composite Biomaterials for Potential Use in Bone Tissue Regeneration-A Review.Materials (Basel, Switzerland) · 2020Review
- 3D printing of Haversian bone-mimicking scaffolds for multicellular delivery in bone regeneration.Science advances · 2020Article
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Authors and funding
5 authors.
Funding
Abstract
In this work we present a novel algorithm for generating in-silico biomimetic models of a cortical bone microstructure towards manufacturing biomimetic bone via additive manufacturing. The software provides a tool for physicians or biomedical engineers to develop models of cortical bone that include the inherent complexity of the microstructure. The correspondence of the produced virtual prototypes with natural bone tissue was assessed experimentally employing Digital Light Processing (DLP) of a thermoset polymer resin to recreate healthy and osteoporotic bone tissue microstructure. The proposed tool was successfully implemented to develop cortical bone structure based on osteon density, cement line thickness, and the Haversian and Volkmann channels to produce a user-designated bone porosity that matches within values reported from literature for these types of tissues. Characterization of the specimens using a Scanning Electron Microscopy with Focused Ion Beam (SEM/FIB) and Computer Tomography (CT) revealed that the manufacturability of intricated virtual prototype is possible for scaled-up versions of the tissue. Modeling based on the density, inclination and size range of the osteon and Haversian and Volkmann´s canals granted the development of a dynamic in-silico porosity (13.37⁻21.49%) that matches with models of healthy and osteoporotic bone. Correspondence of the designed porosity with the manufactured assessment (5.79⁻16.16%) shows that the introduced methodology is a step towards the development of more refined and lifelike porous structures such as cortical bone. Further research is required for validation of the proposed methodology model of the real bone tissue and as a patient-specific customization tool of synthetic bone.
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