Evidence map›Paper›PMID 30043197›Full record

ArticleInternational journal of computer assisted radiology and surgery2018

AR in VR: assessing surgical augmented reality visualizations in a steerable virtual reality environment.

Julian Hettig, Sandy Engelhardt, Christian Hansen, Gabriel Mistelbauer

Abstract read
PubMed Publisher
In one paragraph

Article in International journal of computer assisted radiology and surgery, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 16% 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

6 citing papers in PubMed, 36 citations in OpenAlex.

  1. Trial
  2. Article
  3. Phantom study on surgical performance in augmented reality laparoscopy.International journal of computer assisted radiology and surgery · 2023
    Article
  4. Article
  5. Review
  6. 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

4 authors at 2 institutions in 1 country.

Julian HettigFaculty of Computer Science & Research Campus STIMULATE, University of Magdeburg, Magdeburg, Germany.
Sandy EngelhardtFaculty of Computer Science & Research Campus STIMULATE, University of Magdeburg, Magdeburg, Germany. sandy.engelhardt@isg.cs.uni-magdeburg.de.ORCID http://orcid.org/0000-0001-8816-7654
Christian HansenFaculty of Computer Science & Research Campus STIMULATE, University of Magdeburg, Magdeburg, Germany.ORCID http://orcid.org/0000-0002-5734-7529
Gabriel MistelbauerFaculty of Computer Science, University of Magdeburg, Magdeburg, Germany.ORCID http://orcid.org/0000-0003-2333-5404
University Hospital Magdeburg · DEUniversity of Mannheim · DE

Funding

Bundesministerium für Bildung und Forschung (DE) 13GW0095A
6 · The paper itself

Abstract

purposeAugmented reality (AR) has emerged as a promising approach to support surgeries; however, its application in real world scenarios is still very limited. Besides sophisticated registration tasks that need to be solved, surgical AR visualizations have not been studied in a standardized and comparative manner. To foster the development of future AR applications, a steerable framework is urgently needed to rapidly evaluate new visualization techniques, explore their individual parameter spaces and define relevant application scenarios.

methodsInspired by its beneficial usage in the automotive industry, the underlying concept of virtual reality (VR) is capable of transforming complex real environments into controllable virtual ones. We present an interactive VR framework, called Augmented Visualization Box (AVB), in which visualizations for AR can be systematically investigated without explicitly performing an error-prone registration. As use case, a virtual laparoscopic scenario with anatomical surface models was created in a computer game engine. In a study with eleven surgeons, we analyzed this VR setting under different environmental factors and its applicability for a quantitative assessment of different AR overlay concepts.

resultsAccording to the surgeons, the visual impression of the VR scene is mostly influenced by 2D surface details and lighting conditions. The AR evaluation shows that, depending on the visualization used and its capability to encode depth, 37% to 91% of the experts made wrong decisions, but were convinced of their correctness. These results show that surgeons have more confidence in their decisions, although they are wrong, when supported by AR visualizations.

conclusionWith AVB, intraoperative situations are realistically simulated to quantitatively benchmark current AR overlay methods. Successful surgical task execution in an AR system can only be facilitated if visualizations are customized toward the surgical task.

Indexed as

User-Computer InterfaceVirtual RealityHumansLaparoscopyModels, AnatomicSurgery, Computer-AssistedSurgical augmented realityVirtual realityVisualization

Identifiers

PMID30043197
OpenAlexW2883440378

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.