Evidence map›Paper›PMID 39598886›Full record

ArticleSensors (Basel, Switzerland)2024

Metallic Artifacts' Reduction in Microtomography Using the Bone- and Soft-Tissue Decomposition Method.

Jan Juszczyk, Jakub Pałachniak, Ewa Piętka

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. 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

3 authors.

Jan JuszczykFaculty of Biomedical Engineering, Silesian University of Technology, 41-800 Zabrze, Poland.ORCID 0000-0003-1645-144X
Jakub PałachniakFaculty of Biomedical Engineering, Silesian University of Technology, 41-800 Zabrze, Poland.ORCID 0009-0009-4038-2238
Ewa PiętkaFaculty of Biomedical Engineering, Silesian University of Technology, 41-800 Zabrze, Poland.ORCID 0000-0002-9676-8510

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Artifacts in computed tomography and X-ray microtomography are image distortions caused by various factors. Some can be reduced before or during the examination, while others are removed algorithmically after image acquisition. The latter group includes metallic artifacts caused by metal objects in the sample. This paper proposes a new method for eliminating metallic artifacts, applying a bone- and soft-tissue decomposition (BSTD) algorithm to microtomography raw data before the reconstruction process. We show that the decomposition algorithm can effectively remove metallic artifacts in microCT images, which increases the image contrast and allows for better visualization of regions near the metallic elements. For quantity analysis, we computed SSIM and PSNR factors, and we observed values increasing from 0.97 to 0.99 and from 40 dB to 43 dB, respectively.

Indexed as

computed tomographydecompositionmetallic artifactsmicrotomography

Identifiers

PMID39598886
PMCPMC11598100

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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.