Improving resolution of panoramic radiographs: super-resolution concept.

Journal: Dento maxillo facial radiology
Published Date:

Abstract

OBJECTIVES: Dental imaging plays a key role in the diagnosis and treatment of dental conditions, yet limitations regarding the quality and resolution of dental radiographs sometimes hinder precise analysis. Super-resolution with deep learning refers to a set of techniques used to enhance the resolution of images beyond their original size or quality using deep neural networks instead of traditional image interpolation methods which often result in blurred or pixelated images when attempting to increase resolution. Leveraging advancements in technology, this study aims to enhance the resolution of dental panoramic radiographs, thereby enabling more accurate diagnoses and treatment planning.

Authors

  • Mahmut Emin Çelik
    Electrical Electronics Engineering Department, Faculty of Engineering, Gazi University, Ankara, Turkey.
  • Mahsa Mikaeili
    Biomedical Calibration and Research Center (BIYOKAM), Gazi University Hospital, Gazi University, Ankara, 06560, Turkey.
  • Berrin Çelik
    Department of Dentomaxillofacial Radiology, Faculty of Dentistry, Ankara Yıldırım Beyazıt University, Ankara, Turkey.