Evidence map›Paper›PMID 32323206›Full record

ArticleInternational journal of computer assisted radiology and surgery2020

MARIN: an open-source mobile augmented reality interactive neuronavigation system.

Étienne Léger, Jonatan Reyes, Simon Drouin, Tiberiu Popa, Jeffery A Hall, D Louis Collins, Marta Kersten-Oertel

Abstract read
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In one paragraph

Article in International journal of computer assisted radiology and surgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Article
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  5. Review
  6. A Tool-free Neuronavigation Method based on Single-view Hand Tracking.Computer methods in biomechanics and biomedical engineering. Imaging & visualization · 2023
    Article
  7. Article
  8. Article
  9. Review
  10. Augmented reality technology in image-guided therapy: State-of-the-art review.Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine · 2021
    Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. An Augmented Reality-Assisted Visualization System for Potential Applications in Prostate Biopsy.Proceedings of SPIE--the International Society for Optical Engineering
    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.

Étienne LégerDepartment of Computer Science and Software Engineering, Concordia University, 1455 Boul. de Maisonneuve O., Montreal, QC H3G 1M8, Canada. etienne.leger@mail.concordia.ca.
Jonatan ReyesDepartment of Computer Science and Software Engineering, Concordia University, 1455 Boul. de Maisonneuve O., Montreal, QC H3G 1M8, Canada.
Simon DrouinDepartment of Software Engineering and Information Technology, École des Technologies Supérieures, 1100 Notre-Dame St. W., Montreal, QC H3G 1K3, Canada.
Tiberiu PopaDepartment of Computer Science and Software Engineering, Concordia University, 1455 Boul. de Maisonneuve O., Montreal, QC H3G 1M8, Canada.
Jeffery A HallDepartment of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, 3801 University St., Montreal, QC H3A 2B4, Canada.
D Louis CollinsMcConnell Brain Imaging Center at the Montreal Neurological Institute, McGill University, 3801 University St., Montreal, QC H3A 2B4, Canada.
Marta Kersten-OertelDepartment of Computer Science and Software Engineering, Concordia University, 1455 Boul. de Maisonneuve O., Montreal, QC H3G 1M8, Canada.

Funding

Fonds de Recherche du Québec - Nature et Technologies FE0223Natural Sciences and Engineering Research Council of Canada n01573
6 · The paper itself

Abstract

purposeNeuronavigation systems making use of augmented reality (AR) have been the focus of much research in the last couple of decades. In recent years, there has been considerable interest in using mobile devices for AR in the operating room (OR). We propose a complete system that performs real-time AR video augmentation on a mobile device in the context of image-guided neurosurgery.

methodsMARIN (mobile augmented reality interactive neuronavigation system) improves upon the state of the art in terms of performance, allowing real-time augmentation, and interactivity by allowing users to interact with the displayed data. The system was tested in a user study with 17 subjects for qualitative and quantitative evaluation in the context of target localization and brought into the OR for preliminary feasibility tests, where qualitative feedback from surgeons was obtained.

resultsThe results of the user study showed that MARIN performs significantly better in terms of both time ([Formula: see text]) and accuracy ([Formula: see text]) for the task of target localization in comparison with a traditional image-guided neurosurgery (IGNS) navigation system. Further, MARIN AR visualization was found to be more intuitive and allowed users to estimate target depth more easily.

conclusionMARIN improves upon previously proposed mobile AR neuronavigation systems with its real-time performance, higher accuracy, full integration in the normal workflow and greater interactivity and customizability of the displayed information. The improvement in efficiency and usability over previous systems will facilitate bringing AR into the OR.

Indexed as

Augmented RealityHumansNeuronavigationNeurosurgical ProceduresOperating RoomsSurgery, Computer-AssistedWorkflowAugmented realityImage-guided interventionInteractiveMobileNeuronavigation

Identifiers

What OpenQuestion holds

Textmetadata
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.