Evidence map›Paper›PMID 30608985›Full record

ArticlePloS one2019

Implementation and assessment of the black body bias correction in quantitative neutron imaging.

Chiara Carminati, Pierre Boillat, Florian Schmid, Peter Vontobel, Jan Hovind, Manuel Morgano, Marc Raventos, Muriel Siegwart, David Mannes, Christian Gruenzweig and 4 more

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

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  8. One-pot neutron imaging of liquid-gas system: a parametric method study.Journal of radioanalytical and nuclear chemistry · 2025
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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

14 authors.

Chiara CarminatiLaboratory for Neutron Scattering and Imaging, Paul Scherrer Institut, Villigen, Switzerland.ORCID 0000-0002-1155-5752
Pierre BoillatLaboratory for Neutron Scattering and Imaging, Paul Scherrer Institut, Villigen, Switzerland.
Florian SchmidLaboratory for Neutron Scattering and Imaging, Paul Scherrer Institut, Villigen, Switzerland.
Peter VontobelLaboratory for Neutron Scattering and Imaging, Paul Scherrer Institut, Villigen, Switzerland.ORCID 0000-0002-0584-8954
Jan HovindLaboratory for Neutron Scattering and Imaging, Paul Scherrer Institut, Villigen, Switzerland.
Manuel MorganoLaboratory for Neutron Scattering and Imaging, Paul Scherrer Institut, Villigen, Switzerland.
Marc RaventosLaboratory for Neutron Scattering and Imaging, Paul Scherrer Institut, Villigen, Switzerland.
Muriel SiegwartLaboratory for Neutron Scattering and Imaging, Paul Scherrer Institut, Villigen, Switzerland.
David MannesLaboratory for Neutron Scattering and Imaging, Paul Scherrer Institut, Villigen, Switzerland.
Christian GruenzweigLaboratory for Neutron Scattering and Imaging, Paul Scherrer Institut, Villigen, Switzerland.
Pavel TrtikLaboratory for Neutron Scattering and Imaging, Paul Scherrer Institut, Villigen, Switzerland.
Eberhard LehmannLaboratory for Neutron Scattering and Imaging, Paul Scherrer Institut, Villigen, Switzerland.
Markus StroblLaboratory for Neutron Scattering and Imaging, Paul Scherrer Institut, Villigen, Switzerland.
Anders KaestnerLaboratory for Neutron Scattering and Imaging, Paul Scherrer Institut, Villigen, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We describe in this paper the experimental procedure, the data treatment and the quantification of the black body correction: an experimental approach to compensate for scattering and systematic biases in quantitative neutron imaging based on experimental data. The correction algorithm is based on two steps; estimation of the scattering component and correction using an enhanced normalization formula. The method incorporates correction terms into the image normalization procedure, which usually only includes open beam and dark current images (open beam correction). Our aim is to show its efficiency and reproducibility: we detail the data treatment procedures and quantitatively investigate the effect of the correction. Its implementation is included within the open source CT reconstruction software MuhRec. The performance of the proposed algorithm is demonstrated using simulated and experimental CT datasets acquired at the ICON and NEUTRA beamlines at the Paul Scherrer Institut.

Indexed as

NeutronsAlgorithmsBiasComputer SimulationCopperDatabases, FactualImage Processing, Computer-AssistedLeadNeutron DiffractionPhantoms, ImagingSoftwareTomography, X-Ray ComputedWaterCopperLeadWater

Identifiers

PMID30608985
PMCPMC6319815

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.