Evidence map›Paper›PMID 30464844›Full record

ArticleHealthcare technology letters2018

Augmented reality-based feedback for technician-in-the-loop C-arm repositioning.

Mathias Unberath, Javad Fotouhi, Jonas Hajek, Andreas Maier, Greg Osgood, Russell Taylor, Mehran Armand, Nassir Navab

Abstract read
PubMed Full text at PMC Publisher
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 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
–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

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Cannula-mounted Robots for Semi-autonomous Vertebroplasty: A Comparison of Piezo-based and Screw-based Inchworm Drive Designs.... International Symposium on Medical Robotics. International Symposium on Medical Robotics · 2025
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Mixed Reality Interfaces for Achieving Desired Views with Robotic X-ray Systems.Computer methods in biomechanics and biomedical engineering. Imaging & visualization · 2023
    Article
  11. Article
  12. Review
  13. Article
  14. Augmented and Mixed Reality: Technologies for Enhancing the Future of IR.Journal of vascular and interventional radiology : JVIR · 2020
    Review
  15. Automatic intraoperative optical coherence tomography positioning.International journal of computer assisted radiology and surgery · 2020
    Article
  16. Enabling machine learning in X-ray-based procedures via realistic simulation of image formation.International journal of computer assisted radiology and surgery · 2019
    Article
  17. Co-localized augmented human and X-ray observers in collaborative surgical ecosystem.International journal of computer assisted radiology and surgery · 2019
    Article
  18. Interactive Flying Frustums (IFFs): spatially aware surgical data visualization.International journal of computer assisted radiology and surgery · 2019
    Article
  19. Article
  20. Toward Perception-based Anticipation of Cortical Breach During K-wire Fixation of the Pelvis.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

8 authors.

Mathias UnberathComputer Aided Medical Procedures, Johns Hopkins University, Baltimore, MD, USA.ORCID 0000-0002-0055-9950
Javad FotouhiComputer Aided Medical Procedures, Johns Hopkins University, Baltimore, MD, USA.
Jonas HajekComputer Aided Medical Procedures, Johns Hopkins University, Baltimore, MD, USA.
Andreas MaierPattern Recognition Lab, Friedrich-Alexander-University Erlangen-Nuremberg, Erlangen, Germany.
Greg OsgoodOrthopaedic Trauma, Johns Hopkins University, Baltimore, MD, USA.
Russell TaylorLaboratory for Computational Sensing and Robotics, Johns Hopkins University, Baltimore, MD, USA.
Mehran ArmandOrthopaedic Trauma, Johns Hopkins University, Baltimore, MD, USA.
Nassir NavabComputer Aided Medical Procedures, Johns Hopkins University, Baltimore, MD, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Interventional C-arm imaging is crucial to percutaneous orthopedic procedures as it enables the surgeon to monitor the progress of surgery on the anatomy level. Minimally invasive interventions require repeated acquisition of X-ray images from different anatomical views to verify tool placement. Achieving and reproducing these views often comes at the cost of increased surgical time and radiation. We propose a marker-free 'technician-in-the-loop' Augmented Reality (AR) solution for C-arm repositioning. The X-ray technician operating the C-arm interventionally is equipped with a head-mounted display system capable of recording desired C-arm poses in 3D via an integrated infrared sensor. For C-arm repositioning to a target view, the recorded pose is restored as a virtual object and visualized in an AR environment, serving as a perceptual reference for the technician. Our proof-of-principle findings from a simulated trauma surgery indicate that the proposed system can decrease the 2.76 X-ray images required for re-aligning the scanner with an intra-operatively recorded C-arm view down to zero, suggesting substantial reductions of radiation dose. The proposed AR solution is a first step towards facilitating communication between the surgeon and the surgical staff, improving the quality of surgical image acquisition, and enabling context-aware guidance for surgery rooms of the future.

Indexed as

augmented realityaugmented reality-based feedbackbiomedical equipmentC-arm interventionallyC-arm repositioningcomputerised tomographyintegrated infrared sensorinterventional C-arm imagingintra-operatively recorded C-armmarker-free technician-in-the-loop augmented reality solutionmedical image processingminimally invasive interventionsorthopaedicsorthopaedic trauma surgerypercutaneous orthopaedic proceduresradiation dosesurgerysurgical image acquisitiontechnician-in-the-loop designwearable computersX-ray imagesX-ray technician

Identifiers

PMID30464844
PMCPMC6222181

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.