ArticleWorld neurosurgery: X2021
Development of Innovative Neurosurgical Operation Support Method Using Mixed-Reality Computer Graphics.
Article in World neurosurgery: X, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Simulation tools in neuro-oncological surgery: a scoping review of perioperative and training applications.Journal of neuro-oncology · 2025Article
- Computed tomography and structured light imaging guided orthopedic navigation puncture system: effective reduction of intraoperative image drift and mismatch.Frontiers in surgery · 2024Article
- Article
- Intra-operative applications of augmented reality in glioma surgery: a systematic review.Frontiers in surgery · 2023Review
- Application value of mixed reality in hepatectomy for hepatocellular carcinoma.World journal of gastrointestinal surgery · 2022Article
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Authors and funding
12 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundIn neurosurgery, it is important to inspect the spatial correspondence between the preoperative medical image (virtual space), and the intraoperative findings (real space) to improve the safety of the surgery. Navigation systems and related modalities have been reported as methods for matching this correspondence. However, because of the influence of the brain shift accompanying craniotomy, registration accuracy is reduced. In the present study, to overcome these issues, we developed a spatially accurate registration method of medical fusion 3-dimensional computer graphics and the intraoperative brain surface photograph, and its registration accuracy was measured.
methodsThe subjects included 16 patients with glioma. Nonrigid registration using the landmarks and thin-plate spline methods was performed for the fusion 3-dimensional computer graphics and the intraoperative brain surface photograph, termed mixed-reality computer graphics. Regarding the registration accuracy measurement, the target registration error was measured by two neurosurgeons, with 10 points for each case at the midpoint of the landmarks.
resultsThe number of target registration error measurement points was 160 in the 16 cases. The target registration error was 0.72 ± 0.04 mm. Aligning the intraoperative brain surface photograph and the fusion 3-dimensional computer graphics required ∼10 minutes on average. The average number of landmarks used for alignment was 24.6.
conclusionsMixed-reality computer graphics enabled highly precise spatial alignment between the real space and virtual space. Mixed-reality computer graphics have the potential to improve the safety of the surgery by allowing complementary observation of brain surface photographs and fusion 3-dimensional computer graphics.
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