Evidence map›Paper›PMID 33898969›Full record

ArticleWorld neurosurgery: X2021

Development of Innovative Neurosurgical Operation Support Method Using Mixed-Reality Computer Graphics.

Tsukasa Koike, Taichi Kin, Shota Tanaka, Yasuhiro Takeda, Hiroki Uchikawa, Taketo Shiode, Toki Saito, Hirokazu Takami, Shunsaku Takayanagi, Akitake Mukasa and 2 more

Abstract read
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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.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Tsukasa KoikeDepartment of Neurosurgery, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Taichi KinDepartment of Neurosurgery, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Shota TanakaDepartment of Neurosurgery, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Yasuhiro TakedaDepartment of Neurosurgery, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Hiroki UchikawaDepartment of Neurosurgery, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Taketo ShiodeDepartment of Neurosurgery, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Toki SaitoDepartment of Clinical Information Engineering, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Hirokazu TakamiDepartment of Neurosurgery, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Shunsaku TakayanagiDepartment of Neurosurgery, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Akitake MukasaDepartment of Neurosurgery, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan.
Hiroshi OyamaDepartment of Clinical Information Engineering, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Nobuhito SaitoDepartment of Neurosurgery, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

2D, 2-Dimensional3D, 3-Dimensional3DCG, 3-Dimensional computer graphicsAR, Augmented realityBrain shiftComputer graphicsCT, Computed tomographyFOV, Field of viewGliomaLandmarkMixed-realityMRCG, Mixed-reality computer graphicsMRI, Magnetic resonance imagingTarget registration errorTE, Echo timeThin-plate splineTR, Repetition time

Identifiers

PMID33898969
PMCPMC8059082

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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.