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Porosity imaged by a vector projection algorithm correlates with fractal dimension measured on 3D models obtained by microCT
Author(s) -
CHAPPARD DANIEL,
STANCU IZABELACRISTINA
Publication year - 2015
Publication title -
journal of microscopy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.569
H-Index - 111
eISSN - 1365-2818
pISSN - 0022-2720
DOI - 10.1111/jmi.12212
Subject(s) - fractal dimension , porosity , materials science , vector projection , pixel , fractal , projection (relational algebra) , dimension (graph theory) , tomography , composite material , geometry , mathematics , computer science , artificial intelligence , algorithm , optics , physics , mathematical analysis , pure mathematics
Summary Porosity is an important factor to consider in a large variety of materials. Porosity can be visualized in bone or 3D synthetic biomaterials by microcomputed tomography (microCT). Blocks of porous poly(2‐hydroxyethyl methacrylate) were prepared with polystyrene beads of different diameter (500, 850, 1160 and 1560 μm) and analysed by microCT. On each 2D binarized microCT section, pixels of the pores which belong to the same image column received the same pseudo‐colour according to a look up table. The same colour was applied on the same column of a frontal plane image which was constructed line by line from all images of the microCT stack. The fractal dimension D f of the frontal plane image was measured as well as the descriptors of the 3D models (porosity, 3D fractal dimension D 3D , thickness, density and separation of material walls. Porosity, thickness D f and D 3D increased with the size of the porogen beads. A linear correlation was observed between D f and D 3D . This method provides quantitative and qualitative analysis of porosity on a single frontal plane image of a porous object.