Image-Based Three-Dimensional Analysis to Characterize the Texture of Porous Scaffolds
Author(s) -
Diana Massai,
Francesco Pennella,
Piergiorgio Gentile,
Diego Gallo,
Gianluca Ciardelli,
Cristina Bignardi,
Alberto Audenino,
Umberto Morbiducci
Publication year - 2014
Publication title -
biomed research international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.772
H-Index - 126
eISSN - 2314-6141
pISSN - 2314-6133
DOI - 10.1155/2014/161437
Subject(s) - scaffold , lacunarity , porosity , materials science , texture (cosmology) , characterization (materials science) , gelatin , microstructure , biomedical engineering , computer science , composite material , nanotechnology , chemistry , artificial intelligence , image (mathematics) , mathematics , medicine , mathematical analysis , biochemistry , fractal dimension , fractal
The aim of the present study is to characterize the microstructure of composite scaffolds for bone tissue regeneration containing different ratios of chitosan/gelatin blend and bioactive glasses. Starting from realistic 3D models of the scaffolds reconstructed from micro-CT images, the level of heterogeneity of scaffold architecture is evaluated performing a lacunarity analysis. The results demonstrate that the presence of the bioactive glass component affects not only macroscopic features such as porosity, but mainly scaffold microarchitecture giving rise to structural heterogeneity, which could have an impact on the local cell-scaffold interaction and scaffold performances. The adopted approach allows to investigate the scale-dependent pore distribution within the scaffold and the related structural heterogeneity features, providing a comprehensive characterization of the scaffold texture.
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