Improving image quality of the middle ear with ultra-high-resolution CT coupled with deep-learning image reconstruction algorithm

Joël Greffier; Philippe Soyer; Djamel Dabli

doi:10.1016/j.diii.2024.02.006

Improving image quality of the middle ear with ultra-high-resolution CT coupled with deep-learning image reconstruction algorithm

Diagn Interv Imaging. 2024 Feb 22:S2211-5684(24)00041-X. doi: 10.1016/j.diii.2024.02.006. Online ahead of print.

Authors

Joël Greffier¹, Philippe Soyer², Djamel Dabli³

Affiliations

¹ Department of Medical Imaging, IMAGINE UR UM 103, Montpellier University, Nîmes University Hospital, Nîmes 30029, France. Electronic address: joel.greffier@chu-nimes.fr.
² Faculté de Médecine, Université Paris Cité, Paris 75006, France; Department of Radiology, Hopital Cochin, AP-HP, Paris 75014, France.
³ Department of Medical Imaging, IMAGINE UR UM 103, Montpellier University, Nîmes University Hospital, Nîmes 30029, France.

PMID: 38395667
DOI: 10.1016/j.diii.2024.02.006

No abstract available

Keywords: Deep-learning image reconstruction algorithms; Middle ear CT; Multidetector computed tomography; Task-based image quality assessment; Ultra-high-resolution CT.

Publication types

Editorial