Iterative reconstruction and deep learning algorithms for enabling low-dose computed tomography in midfacial trauma.

Journal: Oral surgery, oral medicine, oral pathology and oral radiology
Published Date: Dec 8, 2020

Abstract

OBJECTIVES: The objective of this study was to quantitatively assess the image quality of Advanced Modeled Iterative Reconstruction (ADMIRE) and the PixelShine (PS) deep learning algorithm for the optimization of low-dose computed tomography protocols in midfacial trauma.

Authors

  • Romke Rozema
    Department of Oral and Maxillofacial Surgery, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands. Electronic address: R.rozema01@umcg.nl.
  • Herbert T Kruitbosch
    Center for Information Technology, University of Groningen, Groningen, The Netherlands.
  • Baucke van Minnen
    Department of Oral and Maxillofacial Surgery, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
  • Bart Dorgelo
    Department of Radiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands; Department of Radiology, Martini Hospital, Groningen, The Netherlands.
  • Joep Kraeima
  • Peter M A van Ooijen
    University Medical Center Groningen, Center for Medical Imaging - North East Netherlands, University of Groningen, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands.

Keywords

External Resources

Popular Topics
Recent Journals