Evidence map›Paper›PMID 36407382›Full record

ArticleAfrican health sciences2022

Investigation of the origin of scatter components transmitted through anti-scatter grids in X-ray Digital Imaging system using Monte Carlo Simulation.

Samson O Omondi, Peter K Msaki, Kazema R Ramadhan, Idrissa S Amour, Innocent J Lugendo

Abstract read
In one paragraph

Article in African health sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Editorial.African health sciences · 2022
    Article
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

5 authors.

Samson O OmondiDepartment of Radiography, College of Health Sciences, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya.
Peter K MsakiDepartment of Physics, University of Dar es Salaam, Dar es Salaam, Tanzania.
Kazema R RamadhanDepartment of Radiology and Imaging, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania.
Idrissa S AmourDepartment of Mathematics, University of Dar Es-Salaam, Dar es Salaam, Tanzania.
Innocent J LugendoDepartment of Physics, University of Dar es Salaam, Dar es Salaam, Tanzania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Projection diagnostic X-ray images are inherently affected by the masking effects of transmitted scatter. Spatially distributed transmitted scatter degrades image quality engendering need for effective scatter correction protocol. Objectives: To investigate origin of scatter components transmitted through anti-scatter grids to the detector of digital radiography system using Monte Carlo simulation. Methods: Over 107 photons were exposed through the reconstructed MC simulation phantom. Transmitted photons (primary and scatter) were scored as fluence, dose and deposited energy. Scatter components were investigated analytically over varying phantom thickness, tube kV and grid characteristics. Test disks were exposed as ROI embedded in phantom to evaluate the potential contrast improvement in image quality with the proposed technique. Results: Simulated and experimental results were comparable and in agreement with literature. SPR and SF mean values of 10.5, 0.314 and 7.96, 0.242 through grids of ratio 10:1 and 16:1 respectively was observed. Analysis of scatter components generation in object, grid's assembly, and fluorescent yields gave mean values of 0.815, 0.167 and 0.017, respectively. Image contrast was observed to increase with tube voltage and grid ratio. Conclusion: Achieving better image contrast, reduced patient dose and low scatter transmission while maintaining superior image quality, using grids with high grid ratio and selectivity is recommended.

Indexed as

Monte Carlo MethodHumansPhantoms, ImagingScattering, RadiationX-RaysAnti-scatter gridsimage quality assessmentMonte Carlo simulationscatter correction

Identifiers

PMID36407382
PMCPMC9652634

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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.