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How image-processing parameters can influence the assessment of dental materials using micro-CT

Imaging Science in Dentistry 2020³â 50±Ç 2È£ p.161 ~ 168
Torres Fernanda Ferrari Esteves, Jacobs Reinhilde, EzEldeen Mostafa, de Faria-Vasconcelos Karla, Guerreiro-Tanomaru Juliane Maria, dos Santos Bernardo Camargo, Tanomaru-Filho Mario,
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 ( Torres Fernanda Ferrari Esteves ) - Sao Paulo State University School of Dentistry Department of Restorative Dentistry
 ( Jacobs Reinhilde ) - University Hospitals Leuven Faculty of Medicine Department of Imaging and Pathology
 ( EzEldeen Mostafa ) - University Hospitals Leuven Faculty of Medicine Department of Imaging and Pathology
 ( de Faria-Vasconcelos Karla ) - University Hospitals Leuven Faculty of Medicine Department of Imaging and Pathology
 ( Guerreiro-Tanomaru Juliane Maria ) - Sao Paulo State University School of Dentistry Department of Restorative Dentistry
 ( dos Santos Bernardo Camargo ) - Federal University of Rio de Janeiro Department of Nuclear Energy
 ( Tanomaru-Filho Mario ) - Sao Paulo State University School of Dentistry Department of Restorative Dentistry

Abstract


Purpose: The aim of this study was to evaluate the influence of voxel size and different post-processing algorithms on the analysis of dental materials using micro-computed tomography (micro-CT).

Materials and Methods: Root-end cavities were prepared in extracted maxillary premolars, filled with mineral trioxide aggregate (MTA), Biodentine, and Intermediate Restorative Material (IRM), and scanned using micro-CT. The volume and porosity of materials were evaluated and compared using voxel sizes of 5, 10, and 20 ¥ìm, as well as different software tools (post-processing algorithms). The CTAn or MeVisLab/Materialise 3-matic software package was used to perform volume and morphological analyses, and the CTAn or MeVisLab/Amira software was used to evaluate porosity. Data were analyzed using 1-way ANOVA and the Tukey test (P<0.05).

Results: Using MeVisLab/Materialise 3-matic, a consistent tendency was observed for volume to increase at larger voxel sizes. CTAn showed higher volumes for MTA and IRM at 20 ¥ìm. Using CTAn, porosity values decreased as voxel size increased, with statistically significant differences for all materials. MeVisLab/Amira showed a difference for MTA and IRM at 5 ¥ìm, and for Biodentine at 20 ¥ìm. Significant differences in volume and porosity were observed in all software packages for Biodentine across all voxel sizes.

Conclusion: Some differences in volume and porosity were found according to voxel size, image-processing software, and the radiopacity of the material. Consistent protocols are needed for research evaluating dental materials.

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Dental Materials; Image Processing, Computer-Assisted; Imaging, Three-Dimensional; X-ray Microtomography

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