Real-time dose estimation for IR
| Project/Area Number |
18K07646
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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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| Review Section |
Basic Section 52040:Radiological sciences-related
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| Research Institution | Teikyo University |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
芳賀 昭弘 徳島大学, 大学院医歯薬学研究部(医学域), 教授 (30448021)
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| Project Period (FY) |
2018-04-01 – 2021-03-31
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| Project Status |
Completed (Fiscal Year 2020)
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| Budget Amount *help |
¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2020: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2019: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2018: ¥2,470,000 (Direct Cost: ¥1,900,000、Indirect Cost: ¥570,000)
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| Keywords | Mixed Reality / モンテカルロシミュレーション / 線量計算 / リアルタイム / Virtual Reality / IVR / リアルタイムモンテカルロシミュレーション / 放射線被ばく / モンテカルロ線量計算 / 複合現実 / 仮想現実 / モンテカルロ / VR |
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| Outline of Final Research Achievements |
The purpose of this study is real-time dose estimation of exposure in interventional radiology (IVR). IVR is widely used for surgery on arteries, but the exposure dose of the surgeon and patients tend to be high, probably because humans cannot perceive radiation even though the dose is overwhelmingly more elevated. Therefore, we developed a prototype of a mixed reality dose visualization system for IVR that projects the patient's real-time exposure dose and air dose estimated using real-time Monte Carlo simulation technology through a head-mounted display in the operator's field of view.
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| Academic Significance and Societal Importance of the Research Achievements |
IVRにおける被ばく線量は，術者の手技によって大きく異なる．しかしながら，放射線は元来人間に知覚できない故に，勘と経験に頼る面が大きく，結果として被ばく量が増大するという結果になっている．リアルタイムに線量を把握しながら，手技を進めることができるような装置を作ることができれば，IVRの被ばくを著しく低減することが可能になるだろう．
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Report
(4 results)
Research Products
(52 results)
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[Presentation] Classification of Optical Coherence Tomography Images Using Deep Neural Networks2020
Author(s)
J Kotoku*, T Tsuji, Y Hirose, K Fujimori, T Hirose, A Oyama, Y Saikawa, T Mimura, K Shiraishi, T Kobayashi, A Mizota
Organizer
AAPM2020
Related Report
Int'l Joint Research
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