Evidence map›Paper›PMID 30800321›Full record

ArticleHealthcare technology letters2018

Virtual interaction and visualisation of 3D medical imaging data with VTK and Unity.

Gavin Wheeler, Shujie Deng, Nicolas Toussaint, Kuberan Pushparajah, Julia A Schnabel, John M Simpson, Alberto Gomez

Open access · goldAbstract read
In one paragraph

Article in Healthcare technology letters, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
19.9field-weighted citation impact, top 1% of its field
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

18 citing papers in PubMed, 2 syntheses or guidelines pooled it, 63 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  7. Review
  8. Article
  9. COVIDiagnostics (Basel, Switzerland) · 2022
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  16. Review
  17. Retrieving 3D medical data along fitted curved slices and their display.BMC medical informatics and decision making · 2020
    Article
  18. 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

7 authors at 1 institution in 1 country.

Gavin WheelerSchool of Imaging Sciences & Biomedical Engineering, King's College London, London, UK.
Shujie DengSchool of Imaging Sciences & Biomedical Engineering, King's College London, London, UK.
Nicolas ToussaintSchool of Imaging Sciences & Biomedical Engineering, King's College London, London, UK.
Kuberan PushparajahSchool of Imaging Sciences & Biomedical Engineering, King's College London, London, UK.
Julia A SchnabelSchool of Imaging Sciences & Biomedical Engineering, King's College London, London, UK.
John M SimpsonSchool of Imaging Sciences & Biomedical Engineering, King's College London, London, UK.
Alberto GomezSchool of Imaging Sciences & Biomedical Engineering, King's College London, London, UK.ORCID 0000-0002-7897-7589
King's College London · GB

Funding

Department of Health II-LA-0716-20001Wellcome Trust
6 · The paper itself

Abstract

The authors present a method to interconnect the Visualisation Toolkit (VTK) and Unity. This integration enables them to exploit the visualisation capabilities of VTK with Unity's widespread support of virtual, augmented, and mixed reality displays, and interaction and manipulation devices, for the development of medical image applications for virtual environments. The proposed method utilises OpenGL context sharing between Unity and VTK to render VTK objects into the Unity scene via a Unity native plugin. The proposed method is demonstrated in a simple Unity application that performs VTK volume rendering to display thoracic computed tomography and cardiac magnetic resonance images. Quantitative measurements of the achieved frame rates show that this approach provides over 90 fps using standard hardware, which is suitable for current augmented reality/virtual reality display devices.

Indexed as

3D medical imaging dataaugmented realityaugmented reality displayscardiac magnetic resonance imagescomputerised tomographycurrent augmented reality/virtual reality display devicesdata visualisationinteraction devicesmanipulation devicesmedical image applicationsmedical image processingmixed reality displaysOpenGL contextrendering (computer graphics)simple Unity applicationthoracic computed tomographytime 3.0 dUnity native pluginUnity sceneUnity widespread supportvirtual environmentsvirtual reality displaysvisualisation capabilitiesvisualisation toolkitVTK objectsVTK volume rendering

Identifiers

PMID30800321
PMCPMC6372083
OpenAlexW2888755845

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.