Analysis of noise characteristics in intraoral X-Ray sensors using the Noise-Power spectrum and nonparametric metrics from diagnostic imaging.

Digital X-ray sensors have significantly changed dental radiography, enabling faster image acquisition and reducing radiation doses for patients. Despite the advancements in technology, noise in X-ray imaging remains a challenge. In this study, noise was examined using the Noise Power Spectrum (NPS) and a nonparametric method. Blank images were taken under different exposure times and voltage settings. The analyses show that noise decreases with longer exposure times. Among the examined sensors, two showed distinct NPS peaks, and one exhibited no relationship between exposure time and noise levels. These results are discussed on terms of specific sensor structures, artifacts and/or unaccessible post-processing algorithms.

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Publication Details

Journal
Open Access CRIS of the University of Bern
Published
2025-05-26
DOI
https://doi.org/10.48620/88252
Primary Topic
Dental Radiography and Imaging
Type
article
Field-Weighted Citation Impact
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article

Analysis of noise characteristics in intraoral X-Ray sensors using the Noise-Power spectrum and nonparametric metrics from diagnostic imaging.

Open Access CRIS of the University of Bern
Dental Radiography and Imaging
article

Analysis of noise characteristics in intraoral X-Ray sensors using the Noise-Power spectrum and nonparametric metrics from diagnostic imaging.

article en

Abstract

Digital X-ray sensors have significantly changed dental radiography, enabling faster image acquisition and reducing radiation doses for patients. Despite the advancements in technology, noise in X-ray imaging remains a challenge. In this study, noise was examined using the Noise Power Spectrum (NPS) and a nonparametric method. Blank images were taken under different exposure times and voltage settings. The analyses show that noise decreases with longer exposure times. Among the examined sensors, two showed distinct NPS peaks, and one exhibited no relationship between exposure time and noise levels. These results are discussed on terms of specific sensor structures, artifacts and/or unaccessible post-processing algorithms.

Open Access CRIS of the University of Bern
Stomatology Hospital (CN)
Openalex Percentile: Top 43%
Dental Radiography and Imaging
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