Influence of windowing and metal artefact reduction algorithms on the volumetric dimensions of five different high-density materials: a cone-beam CT study.

Fernanda Coelho-SilvaLuciano Augusto Cano MartinsDaniela Azeredo BragaEliana ZandonadeFrancisco Haiter-NetoSergio Lins de-Azevedo-Vaz

Published in: Dento maxillo facial radiology (2020)

The TV of gutta-percha and titanium were closer to the PV. In general, the MAR algorithms of both systems were inefficient in significantly reducing the volumetric distortion of high-density materials. We encourage the use of large window width and upper window level to evaluate high-density materials.

Keyphrases

high density
machine learning
cone beam
deep learning
computed tomography
image quality
contrast enhanced
magnetic resonance