Evidence map›Paper›PMID 30423978›Full record

ArticleSensors (Basel, Switzerland)2018

Three-Dimensional Holographic Electromagnetic Imaging for Accessing Brain Stroke.

Lulu Wang

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2018. 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

1 author.

Lulu WangDepartment of Biomedical Engineering, School of Instrument Science and Opto-Electronics Engineering, Hefei University of Technology, Hefei 230009, China. luluwang2015@hfut.edu.cn.ORCID 0000-0001-7466-9522

Funding

Fundamental Research Funds for the Central Universities JZ2018HGTB0236Ministry of Education of the People's Republic of China 2160311028National Natural Science Foundation of China 61701159Natural Science Foundation of Anhui Province 101413246, JZ2017AKZR0129
6 · The paper itself

Abstract

The authors recently developed a two-dimensional (2D) holographic electromagnetic induction imaging (HEI) for biomedical imaging applications. However, this method was unable to detect small inclusions accurately. For example, only one of two inclusions can be detected in the reconstructed image if the two inclusions were located at the same XY plane but in different Z-directions. This paper provides a theoretical framework of three-dimensional (3D) HEI to accurately and effectively detect inclusions embedded in a biological object. A numerical system, including a realistic head phantom, a 16-element excitation sensor array, a 16-element receiving sensor array, and image processing model has been developed to evaluate the effectiveness of the proposed method for detecting small stroke. The achieved 3D HEI images have been compared with 2D HEI images. Simulation results show that the 3D HEI method can accurately and effectively identify small inclusions even when two inclusions are located at the same XY plane but in different Z-directions. This preliminary study shows that the proposed method has the potential to develop a useful imaging tool for the diagnosis of neurological diseases and injuries in the future.

Indexed as

AlgorithmsBrainDiagnostic ImagingElectromagnetic RadiationHolographyHumansImage Processing, Computer-AssistedImaging, Three-DimensionalPhantoms, ImagingStrokebrain strokedielectric propertieselectromagnetic induction imagingmagnetic induction tomographysensor array

Identifiers

PMID30423978
PMCPMC6263754

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.