Login / Signup

Effect of object position in the field of view and application of a metal artifact reduction algorithm on the detection of vertical root fractures on cone-beam computed tomography scans: An in vitro study.

Ava NikbinZahra Dalili KajanMehran TaramsariNegar Khosravifard
Published in: Imaging science in dentistry (2018)
Diagnostic accuracy was higher with central positioning than with peripheral positioning, irrespective of whether the MAR algorithm was applied. However, the effect of the MAR algorithm was more significant with central positioning than with peripheral positioning of the object in the FOV. The clinical experience and expertise of the observers may serve as a confounder in this respect.
Keyphrases
  • machine learning
  • deep learning
  • cone beam computed tomography
  • working memory
  • computed tomography
  • magnetic resonance
  • image quality
  • real time pcr
  • quantum dots