Evidence map›Paper›PMID 33489483›Full record

ReviewIEEE journal of translational engineering in health and medicine2021

Registration Techniques for Clinical Applications of Three-Dimensional Augmented Reality Devices.

Christopher M Andrews, Alexander B Henry, Ignacio M Soriano, Michael K Southworth, Jonathan R Silva

Open access · goldAbstract readReview
In one paragraph

Review in IEEE journal of translational engineering in health and medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.7field-weighted citation impact, top 8% 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

21 citing papers in PubMed, 67 citations in OpenAlex.

  1. Trial
  2. A real-time metric for quantifying registration stability in mixed reality neurosurgical navigation.International journal of computer assisted radiology and surgery · 2026
    Article
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  14. Phantom study of augmented reality framework to assist epicardial punctures.Journal of medical imaging (Bellingham, Wash.) · 2024
    Article
  15. Article
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  18. An Augmented Reality System with Advanced User Interfaces for Image-Guided Intervention Applications.Proceedings of SPIE--the International Society for Optical Engineering · 2023
    Article
  19. Article
  20. 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

5 authors at 2 institutions in 2 countries.

Christopher M AndrewsDepartment of Biomedical EngineeringWashington University in St Louis, McKelvey School of EngineeringSt LouisMO63130USA.
Alexander B HenrySentiAR, Inc.St. LouisMO63108USA.
Ignacio M SorianoSentiAR, Inc.St. LouisMO63108USA.
Michael K SouthworthSentiAR, Inc.St. LouisMO63108USA.
Jonathan R SilvaDepartment of Biomedical EngineeringWashington University in St Louis, McKelvey School of EngineeringSt LouisMO63130USA.
Sentient Science (United States) · USSaint Louis University · ES

Funding

WU INSTITUTE OF CLINICAL AND TRANSLATIONAL SCIENCESUL1TR002345 · NCATS · WASHINGTON UNIVERSITY · PI William G. Powderly · 2017 to 2026
$97.8M
PRINCIPLES IN CARDIVASCULAR RESEARCH TRAINING PROGRAMT32HL007081 · NHLBI · WASHINGTON UNIVERSITY · PI Abhinav Diwan, Karen Ellen Joynt Maddox · 1985 to 2026
$10.6M
Using Augmented Reality To Make Cardiac Ablation Procedures Simpler and SaferR44HL140896 · NHLBI · SENTIAR, INC. · PI SILVA, JENNIFER N, SILVA, JONATHAN R · 2018 to 2019
$2.2M
NCATS NIH HHS UL1 TR002345NHLBI NIH HHS R44 HL140896NHLBI NIH HHS T32 HL007081
6 · The paper itself

Abstract

Many clinical procedures would benefit from direct and intuitive real-time visualization of anatomy, surgical plans, or other information crucial to the procedure. Three-dimensional augmented reality (3D-AR) is an emerging technology that has the potential to assist physicians with spatial reasoning during clinical interventions. The most intriguing applications of 3D-AR involve visualizations of anatomy or surgical plans that appear directly on the patient. However, commercially available 3D-AR devices have spatial localization errors that are too large for many clinical procedures. For this reason, a variety of approaches for improving 3D-AR registration accuracy have been explored. The focus of this review is on the methods, accuracy, and clinical applications of registering 3D-AR devices with the clinical environment. The works cited represent a variety of approaches for registering holograms to patients, including manual registration, computer vision-based registration, and registrations that incorporate external tracking systems. Evaluations of user accuracy when performing clinically relevant tasks suggest that accuracies of approximately 2 mm are feasible. 3D-AR device limitations due to the vergence-accommodation conflict or other factors attributable to the headset hardware add on the order of 1.5 mm of error compared to conventional guidance. Continued improvements to 3D-AR hardware will decrease these sources of error.

Indexed as

Augmented RealitySurgery, Computer-AssistedHumansImaging, Three-DimensionalAugmented reality (AR)HoloLensimage registrationmedical imagingsurgery

Identifiers

PMID33489483
PMCPMC7819530
OpenAlexW3111616598

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.