| Project/Area Number |
26462262
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Orthopaedic surgery
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| Research Institution | Nagoya University |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
横田 秀夫 国立研究開発法人理化学研究所, 光量子工学研究領域, チームリーダー (00261206)
俵 丈展 国立研究開発法人理化学研究所, 光量子工学研究領域, 客員研究員 (20415227)
平田 仁 名古屋大学, 予防早期医療創成センター, 教授 (80173243)
岩月 克之 名古屋大学, 医学部附属病院, 講師 (90635567)
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| Research Collaborator |
MURAKAMI Yukimi 名古屋大学, 医学系研究科, 特任助教 (70775022)
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| Project Period (FY) |
2014-04-01 – 2017-03-31
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| Project Status |
Completed (Fiscal Year 2016)
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| Budget Amount *help |
¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000)
Fiscal Year 2016: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2015: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2014: ¥3,120,000 (Direct Cost: ¥2,400,000、Indirect Cost: ¥720,000)
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| Keywords | 肘関節鏡 / 強化現実 / 拡張現実 / ナビゲーション / シミュレーション / Augmented Reality |
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| Outline of Final Research Achievements |
We superimposed the CG onto the elbow arthroscopy video images for both the full-size 3D model and the monkey. The arthroscopic view was initially quite different from the superimposed CG due to lens distortion. However, we corrected the CG position and shape to match the arthroscopic view using lens distortion parameters estimated from the calibration pattern. Ultimately, the AR position and shape errors were limited to 2.3 mm at a 1cm scope object distance.
The technological integration of AR into arthroscopy succeeded as a feasibility study and demonstrated acceptable accuracy. With further iteration and refinement, the capability of AR-enhanced arthroscopic visualization has the potential to be a transformative technology. This technique will contribute to reducing the possibility of serious complications associated with elbow arthroscopy.
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