Evidence map›Paper›PMID 42704539›Full record

ArticlePhysical and engineering sciences in medicine2026

Development of the noise theoretical formula for analyzing noise components on CT images.

Keisuke Fujii, Kuniharu Imai

Abstract read
PubMed Publisher
In one paragraph

Article in Physical and engineering sciences in medicine, 2026. 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.

Keisuke FujiiNagoya University Graduate School of Medicine, 1-1-20 Daiko-Minami, Higashi-ku, Nagoya, 461-8673, Aichi, Japan. fujii@met.nagoya-u.ac.jp.
Kuniharu ImaiNagoya University Graduate School of Medicine, 1-1-20 Daiko-Minami, Higashi-ku, Nagoya, 461-8673, Aichi, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We established a theoretical framework to analyze the individual noise components on computed tomography (CT) images and evaluated the relationship between CT doses and each component. The model was developed based on CT numbers and the relative noise standard deviation (SD) measured directly on the CT images, enabling noise decomposition solely from image-domain characteristics without relying on raw projection data. CT images of a quality control phantom were obtained at various CT doses using two CT scanners. We measured mean CT numbers and the relative noise SD at each rod position on the CT images and estimated each noise component using the proposed framework. The relative noise SD was expressed as a function of the transmitted dose corresponding to the number of photons through the phantom, where the respective terms in the formula represent the contributions of structural, quantum, and electronic noise components. Results showed that the proportion of quantum noise exceeded 70% at CT doses routinely used in clinical settings, remaining the dominant component. However, at lower doses (CTDI

Indexed as

CT imageElectronic noiseImage noiseQuantum noiseStructural noise

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.