ArticleInternational journal of computer assisted radiology and surgery2022
Augmented reality navigation for minimally invasive craniosynostosis surgery: a phantom study.
Article in International journal of computer assisted radiology and surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Microsoft HoloLens 2 in Medical and Healthcare Context: State of the Art and Future Prospects.Sensors (Basel, Switzerland) · 2022Pooled it
- Augmented Reality Navigation in Perpendicular Plate of Ethmoid Bone Resection: A Teaching Practice.Aesthetic plastic surgery · 2026Article
- Usability Study of Augmented Reality Visualization Modalities on Localization Accuracy in the Head and Neck: Randomized Crossover Trial.JMIR serious games · 2026Article
- Introducing Holographic Surgical Navigation in Pediatric Wilms' Tumor Patients: A Feasibility Study During Total Nephrectomy.Bioengineering (Basel, Switzerland) · 2025Article
- Assessing oral surgery residents' competencies and training needs in tomography interfaces through a usability framework.BMC medical education · 2025Article
- Augmented Reality Integration in Surgery for Craniosynostoses: Advancing Precision in the Management of Craniofacial Deformities.Journal of clinical medicine · 2025Review
- Depth-based registration of 3D preoperative models to intraoperative patient anatomy using the HoloLens 2.International journal of computer assisted radiology and surgery · 2025Article
- Artificial Intelligence Applications in Pediatric Craniofacial Surgery.Diagnostics (Basel, Switzerland) · 2025Review
- Microsoft HoloLens 2 vs. tablet-based augmented reality and 3D printing for fronto-orbital reconstruction of craniosynostosis: a case study.3D printing in medicine · 2025Article
- Enhancing surgical navigation: a robust hand-eye calibration method for the Microsoft HoloLens 2.International journal of computer assisted radiology and surgery · 2025Article
- Augmented Reality in Neurosurgery.Advances in experimental medicine and biology · 2024Review
- A virtual surgical prototype system based on gesture recognition for virtual surgical training in maxillofacial surgery.International journal of computer assisted radiology and surgery · 2023Article
- The Role of Augmented Reality in the Advancement of Minimally Invasive Surgery Procedures: A Scoping Review.Bioengineering (Basel, Switzerland) · 2023Article
- Visualization, navigation, augmentation. The ever-changing perspective of the neurosurgeon.Brain & spine · 2022Review
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Authors and funding
6 authors.
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No grant is acknowledged in the PubMed record.
Abstract
purposeIn minimally invasive spring-assisted craniectomy, surgeons plan the surgery by manually locating the cranial sutures. However, this approach is prone to error. Augmented reality (AR) could be used to visualize the cranial sutures and assist in the surgery planning. The purpose of our work is to develop an AR-based system to visualize cranial sutures, and to assess the accuracy and usability of using AR-based navigation for surgical guidance in minimally invasive spring-assisted craniectomy.
methodsAn AR system was developed that consists of an electromagnetic tracking system linked with a Microsoft HoloLens. The system was used to conduct a study with two skull phantoms. For each phantom, five sutures were annotated and visualized on the skull surface. Twelve participants assessed the system. For each participant, model alignment using six anatomical landmarks was performed, followed by the participant delineation of the visualized sutures. At the end, the participants filled a system usability scale (SUS) questionnaire. For evaluation, an independent optical tracking system was used and the delineated sutures were digitized and compared to the CT-annotated sutures.
resultsFor a total of 120 delineated sutures, the distance of the annotated sutures to the planning reference was [Formula: see text] mm. The average delineation time per suture was [Formula: see text] s. For the system usability questionnaire, an average SUS score of 73 was obtained.
conclusionThe developed AR-system has good accuracy (average 2.4 mm distance) and could be used in the OR. The system can assist in the pre-planning of minimally invasive craniosynostosis surgeries to locate cranial sutures accurately instead of the traditional approach of manual palpation. Although the conducted phantom study was designed to closely reflect the clinical setup in the OR, further clinical validation of the developed system is needed and will be addressed in a future work.
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