Evidence map›Paper›PMID 37021885›Full record

ArticleIEEE transactions on visualization and computer graphics2024

STTAR: Surgical Tool Tracking Using Off-the-Shelf Augmented Reality Head-Mounted Displays.

Alejandro Martin-Gomez, Haowei Li, Tianyu Song, Sheng Yang, Guangzhi Wang, Hui Ding, Nassir Navab, Zhe Zhao, Mehran Armand

Open access · hybridAbstract read
In one paragraph

Article in IEEE transactions on visualization and computer graphics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
20.6field-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

22 citing papers in PubMed, 67 citations in OpenAlex.

  1. Trial
  2. Article
  3. Toward a Surgical Clip-Based Registration Approach for Aligning Pathology Data to Tumor Bed Using Mixed Reality.Proceedings of SPIE--the International Society for Optical Engineering · 2026
    Article
  4. Article
  5. Comprehensive mixed reality surgical navigation system for liver surgery.Journal of medical imaging (Bellingham, Wash.) · 2025
    Article
  6. Review
  7. Article
  8. Evaluation of augmented reality guidance for glenoid pin placement in total shoulder arthroplasty.International journal of computer assisted radiology and surgery · 2025
    Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Feasibility Study of Using Augmented Mirrors for Alignment Task during Orthopaedic Procedures in Mixed Reality.... IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct). IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct) · 2023
    Article
  18. Article
  19. Mixed Reality Interfaces for Achieving Desired Views with Robotic X-ray Systems.Computer methods in biomechanics and biomedical engineering. Imaging & visualization · 2023
    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

9 authors at 3 institutions in 3 countries.

Alejandro Martin-Gomez
Haowei Li
Tianyu Song
Sheng Yang
Guangzhi Wang
Hui Ding
Nassir Navab
Zhe Zhao
Mehran Armand
Tsinghua University · CNJohns Hopkins University · USBeijing Tsinghua Chang Gung Hospital · CN

Funding

Image-Guided Workstation and Tools for the Treatment of Bone DefectsR01EB016703 · NIBIB · UNIVERSITY OF ARKANSAS AT FAYETTEVILLE · PI ARMAND, MEHRAN · 2013 to 2022
$3.4M
Robotic System for Spinal Decompression and Interbody FusionR01AR080315 · NIAMS · UNIVERSITY OF ARKANSAS AT FAYETTEVILLE · PI ARMAND, MEHRAN, JAIN, AMIT · 2022 to 2025
$1.7M
Robot-Assisted Femoroplasty with Intraoperative Biomechanical FeedbackR01EB023939 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI ARMAND, MEHRAN · 2017 to 2020
$1.6M
NIAMS NIH HHS R01 AR080315NIBIB NIH HHS R01 EB016703NIBIB NIH HHS R01 EB023939
6 · The paper itself

Abstract

The use of Augmented Reality (AR) for navigation purposes has shown beneficial in assisting physicians during the performance of surgical procedures. These applications commonly require knowing the pose of surgical tools and patients to provide visual information that surgeons can use during the performance of the task. Existing medical-grade tracking systems use infrared cameras placed inside the Operating Room (OR) to identify retro-reflective markers attached to objects of interest and compute their pose. Some commercially available AR Head-Mounted Displays (HMDs) use similar cameras for self-localization, hand tracking, and estimating the objects' depth. This work presents a framework that uses the built-in cameras of AR HMDs to enable accurate tracking of retro-reflective markers without the need to integrate any additional electronics into the HMD. The proposed framework can simultaneously track multiple tools without having previous knowledge of their geometry and only requires establishing a local network between the headset and a workstation. Our results show that the tracking and detection of the markers can be achieved with an accuracy of 0.09±0.06 mm on lateral translation, 0.42 ±0.32 mm on longitudinal translation and 0.80 ±0.39

Indexed as

Augmented RealityComputer GraphicsSurgery, Computer-AssistedEquipment DesignHeadHumansImaging, Three-DimensionalSmart GlassesSurgical InstrumentsUser-Computer Interface

Identifiers

PMID37021885
PMCPMC10959446
OpenAlexW4317497215

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.