In Vitro Quantitative Evaluation of Postprocessing Filter for Metal Artifact Reduction in Cone Beam Computed Tomography Images of Titanium and Zirconium Dioxide Implants.

André Luiz Ferreira CostaKarolina A C FardimJennifer M MantoaniAna Lucia Franco RicardoMaria Aparecida N JardiniKaan OrhanSérgio Lúcio Pereira de Castro Lopes

Published in: BioMed research international (2022)

The highest SD values were seen in zirconium dioxide implants, mainly in the region of anterior teeth. The BAR filter was found to be the most effective as its SD value decreased significantly, indicating that the image quality was improved.

Keyphrases

image quality
cone beam computed tomography
computed tomography
dual energy
soft tissue
deep learning
convolutional neural network
optical coherence tomography
magnetic resonance imaging
magnetic resonance
machine learning