Evidence map›Paper›PMID 40354618›Full record

ArticleDento maxillo facial radiology2025

Analysis of noise characteristics in intraoral X-ray sensors using the Noise-Power Spectrum and non-parametric metrics from diagnostic imaging.

Philip Roebers, Ralf Schulze

Abstract read
In one paragraph

Article in Dento maxillo facial radiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Philip RoebersDepartment of Oral Surgery and Stomatology, Division of Oral Diagnostic Sciences, University of Bern, CH-3010, Bern, Switzerland.ORCID 0009-0008-8331-6014
Ralf SchulzeDepartment of Oral Surgery and Stomatology, Division of Oral Diagnostic Sciences, University of Bern, CH-3010, Bern, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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 non-parametric 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, 2 showed distinct NPS peaks, and 1 exhibited no relationship between exposure time and noise levels. These results are discussed on terms of specific sensor structures, artefacts and/or unaccessible post-processing algorithms.

Indexed as

Radiography, DentalRadiography, Dental, DigitalAlgorithmsArtifactsHumansRadiation DosageSignal-To-Noise Ratiodental radiographydiagnostic imagingimage noiseintraoral X-ray sensorsNoise-Power Spectrum

Identifiers

PMID40354618
PMCPMC12394941

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.