ArticleIEEE transactions on medical imaging2021
Development and Pre-Clinical Analysis of Spatiotemporal-Aware Augmented Reality in Orthopedic Interventions.
Article in IEEE transactions on medical imaging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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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.
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.
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Who cites it
7 citing papers in PubMed.
- Comparative study of ultrasound shape completion and CBCT-based AR workflows for spinal needle interventions.International journal of computer assisted radiology and surgery · 2026Article
- 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 · 2025Article
- STTAR: Surgical Tool Tracking Using Off-the-Shelf Augmented Reality Head-Mounted Displays.IEEE transactions on visualization and computer graphics · 2024Article
- Mixed Reality Interfaces for Achieving Desired Views with Robotic X-ray Systems.Computer methods in biomechanics and biomedical engineering. Imaging & visualization · 2023Article
- Medical Augmented Reality: Definition, Principle Components, Domain Modeling, and Design-Development-Validation Process.Journal of imaging · 2022Article
- A scoping review of deep learning in cancer nursing combined with augmented reality: The era of intelligent nursing is coming.Asia-Pacific journal of oncology nursing · 2022Article
- HAPPY: Hip Arthroscopy Portal Placement Using Augmented Reality.Journal of imaging · 2022Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
Suboptimal interaction with patient data and challenges in mastering 3D anatomy based on ill-posed 2D interventional images are essential concerns in image-guided therapies. Augmented reality (AR) has been introduced in the operating rooms in the last decade; however, in image-guided interventions, it has often only been considered as a visualization device improving traditional workflows. As a consequence, the technology is gaining minimum maturity that it requires to redefine new procedures, user interfaces, and interactions. The main contribution of this paper is to reveal how exemplary workflows are redefined by taking full advantage of head-mounted displays when entirely co-registered with the imaging system at all times. The awareness of the system from the geometric and physical characteristics of X-ray imaging allows the exploration of different human-machine interfaces. Our system achieved an error of 4.76 ± 2.91mm for placing K-wire in a fracture management procedure, and yielded errors of 1.57 ± 1.16° and 1.46 ± 1.00° in the abduction and anteversion angles, respectively, for total hip arthroplasty (THA). We compared the results with the outcomes from baseline standard operative and non-immersive AR procedures, which had yielded errors of [4.61mm, 4.76°, 4.77°] and [5.13mm, 1.78°, 1.43°], respectively, for wire placement, and abduction and anteversion during THA. We hope that our holistic approach towards improving the interface of surgery not only augments the surgeon's capabilities but also augments the surgical team's experience in carrying out an effective intervention with reduced complications and provide novel approaches of documenting procedures for training purposes.
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