ID | 66498 |
フルテキストURL | |
著者 |
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
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抄録 | 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. |
キーワード | Quality improvement
Signal-to-noise ratio
Panoramic X-ray images
Cluster analysis
Occlusal plane
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備考 | 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
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発行日 | 2024-01-02
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出版物タイトル |
Egyptian Journal of Radiology and Nuclear Medicine
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巻 | 55巻
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号 | 1号
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出版者 | Springer
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開始ページ | 4
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ISSN | 2090-4762
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資料タイプ |
学術雑誌論文
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言語 |
英語
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OAI-PMH Set |
岡山大学
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著作権者 | © The Author(s) 2023.
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論文のバージョン | publisher
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DOI | |
Web of Science KeyUT | |
関連URL | isVersionOf https://doi.org/10.1186/s43055-023-01176-w
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ライセンス | http://creativecommons.org/licenses/by/4.0/
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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
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