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  • Journal of Istanbul University Faculty Dentistry
  • Volume:54 Issue:1
  • Contrast-to-noise ratios of different dental restorative materials: An in-vitro cone beam computed t...

Contrast-to-noise ratios of different dental restorative materials: An in-vitro cone beam computed tomography study

Authors : Seval BAYRAK, Emine Sebnem KURSUN CAKMAK, Hakan KAMALAK
Pages : 36-41
Doi:10.26650/eor.20200079
View : 21 | Download : 13
Publication Date : 2020-01-23
Article Type : Research Paper
Abstract :Purpose In radiological views, strong beam hardening and streaking artifacts occur due to high-density structures and polyenergetic X-ray beams, and these lead to misdiagnosis. This study was performed in vitro to compare the contrast-to-noise ratio insert ignore into journalissuearticles values(CNR); of commonly used dental restorative materials by using Cone Beam Computed Tomography insert ignore into journalissuearticles values(CBCT); images with and without artifact reduction insert ignore into journalissuearticles values(AR); mode. Materials and Methods A total of 108 molar teeth were restored with nine different groups of restorative materials, with each group containing 12 teeth. Teeth were placed in a dry human mandible and scanned, one by one, via Planmeca 3D ProMax insert ignore into journalissuearticles values(Planmeca, Helsinki, Finland); with and without AR mode. Images were analyzed using ImageJ software insert ignore into journalissuearticles values(National Institutes of Health, Bethesda, MD); to calculate the CNR. Results CNR was calculated to be the highest in compomer insert ignore into journalissuearticles values(Glassiosite); images without AR mode insert ignore into journalissuearticles values(mean: 3.36); and with AR mode insert ignore into journalissuearticles values(mean: 3.61);. CNR was calculated to be the lowest in amalgam insert ignore into journalissuearticles values(Tytin); images without AR mode insert ignore into journalissuearticles values(mean: 0.21); and with AR mode insert ignore into journalissuearticles values(mean: 0.23);. A significant difference was found between materials in terms of CNR measurements insert ignore into journalissuearticles values(p ≤ 0.05);. CNR measurements were increased after the AR mode application insert ignore into journalissuearticles values(p ≤ 0.05);. Conclusion AR mode was effective in reducing artifacts arising from dental materials on CBCT images, so it is necessary to use AR mode for correct diagnoses.
Keywords : Cone Beam Computed Tomography, ontrast to noise ratio, dental materials, artifacts, image quality

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