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Author
Imajo, Satoshi Division of Radiology, Medical Support Department, Okayama University Hospital
Tanabe, Yoshinori Faculty of Medicine, Graduate School of Health Sciences, Okayama University ORCID Kaken ID researchmap
Nakamura, Nobue Division of Radiology, Medical Support Department, Okayama University Hospital
Honda, Mitsugi Division of Radiology, Medical Support Department, Okayama University Hospital
Kuroda, Masahiro Faculty of Medicine, Graduate School of Health Sciences, Okayama University ORCID Kaken ID publons researchmap
Abstract
Background A panoramic X-ray image is generally considered optimal when the occlusal plane is slightly arched, presenting with a gentle curve. However, the ideal angle of the occlusal plane has not been determined. This study provides a simple evaluation index for panoramic X-ray image quality, built using various image and cluster analyzes, which can be used as a training tool for radiological technologists and as a reference for image quality improvement.
Results A reference panoramic X-ray image was acquired using a phantom with the Frankfurt plane positioned horizontally, centered in the middle, and frontal plane centered on the canine teeth. Other images with positioning errors were acquired with anteroposterior shifts, vertical rotations of the Frankfurt plane, and horizontal left/right rotations. The reference and positioning-error images were evaluated with the cross-correlation coefficients for the occlusal plane profile, left/right angle difference, peak signal-to-noise ratio (PSNR), and deformation vector fields (DVF). The results of the image analyzes were scored for positioning-error images using K-means clustering analysis. Next, we analyzed the correlations between the total score, cross-correlation analysis of the occlusal plane curves, left/right angle difference, PSNR, and DVF. In the scoring, the positioning-error images with the highest quality were the ones with posterior shifts of 1 mm. In the analysis of the correlations between each pair of results, the strongest correlations (r = 0.7–0.9) were between all combinations of PSNR, DVF, and total score.
Conclusions The scoring of positioning-error images using K-means clustering analysis is a valid evaluation indicator of correct patient positioning for technologists in training.
Keywords
Quality improvement
Signal-to-noise ratio
Panoramic X-ray images
Cluster analysis
Occlusal plane
Note
The version of record of this article, first published in Egyptian Journal of Radiology and Nuclear Medicine, is available online at Publisher’s website: http://dx.doi.org/10.1186/s43055-023-01176-w
Published Date
2024-01-02
Publication Title
Egyptian Journal of Radiology and Nuclear Medicine
Volume
volume55
Issue
issue1
Publisher
Springer
Start Page
4
ISSN
2090-4762
Content Type
Journal Article
language
English
OAI-PMH Set
岡山大学
Copyright Holders
© The Author(s) 2023.
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publisher
DOI
Web of Science KeyUT
Related Url
isVersionOf https://doi.org/10.1186/s43055-023-01176-w
License
http://creativecommons.org/licenses/by/4.0/
Citation
Imajo, S., Tanabe, Y., Nakamura, N. et al. Evaluating the index of panoramic X-ray image quality using K-means clustering method. Egypt J Radiol Nucl Med 55, 4 (2024). https://doi.org/10.1186/s43055-023-01176-w