A comparison of perceived diagnostic image quality in direct digital panoramic images between standard and advanced external GOP image processing

Authors

  • Björn Svenson Department of Dental Research, Postgraduate Dental Education Center, Örebro, Sweden; School of Health and Medical Sciences, Örebro University, Örebro, Sweden
  • Magnus Båth Department of Medical Physics and Biomedical Engineering, Sahlgrenska University Hospital, Gothenburg, Sweden; Department of Radiation Physics, Institute of Clinical Sciences at Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
  • Reet Karlsson Department of Radiology, Skaraborg Hospital Skövde, Skövde, Sweden
  • Bo Persson Department of Radiology, Skaraborg Hospital Skövde, Skövde, Sweden

DOI:

https://doi.org/10.1080/00016357.2019.1618912

Keywords:

Adaptive processing, radiography: panoramic, radiography: image enhancement, digital dental radiography, direct

Abstract

Objective: The objective of the present study was to study the effect of adaptive image processing (GOP processing) on the visibility of anatomical structures in direct digital panoramic images.

Material and methods: The study comprised panoramic images of 50 consecutive adult individuals aged 18–60 years. Nine dentists working with dental radiology compared the structural image quality of all standard-processed and GOP-processed panoramic images for six anatomical structures, using a six-point scale for visual grading characteristics analysis.

Results: For all anatomic structures a statistically significant difference in favour of the GOP was found.

Conclusions: The present study shows that it is possible to improve perceived diagnostic image quality of direct digital panoramic radiography using GOP technology compared to the manufacturers’ standard processing. Manufacturers’ image-processing programs can be further developed, as there is a possibility of improving the perceived diagnostic content of an image with external processing.

Downloads

Download data is not yet available.

Downloads

Published

2019-11-17