Development of a Personalized Bio-feedback System to Stabilize Respiration-induced Motion for Improving Predictive Beam Control of Tumor-following Radiation Therapy
| Project/Area Number |
18K15619
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| Research Category |
Grant-in-Aid for Early-Career Scientists
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| Allocation Type | Multi-year Fund |
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| Review Section |
Basic Section 52040:Radiological sciences-related
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| Research Institution | Tohoku University |
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Principal Investigator |
ICHIJI Kei 東北大学, 医学系研究科, 講師 (90743443)
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| Project Period (FY) |
2018-04-01 – 2022-03-31
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| Project Status |
Completed (Fiscal Year 2021)
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| Budget Amount *help |
¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000)
Fiscal Year 2021: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2020: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2019: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2018: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
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| Keywords | 放射線治療 / 肺がん / 呼吸性移動 / 呼吸誘導 / 視聴覚フィードバックシステム / 制御特性 / 息止め / 視聴覚フィードバック / 呼吸性移動対策 / 動体追尾照射 / バイオフィードバック / 呼吸動態予測 |
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| Outline of Final Research Achievements |
Breathing guidance systems that can lead breathing motion to the desired state have clinically been used for accurately irradiating tumors moving with respiratory motion. However, the current breathing guiding systems often fail to lead the breathing motion to the desired/predictable states, and the irradiation accuracy and efficiency are not assured well in such cases. This study developed a new breathing guiding system by introducing an external controller that is designed to improve the control characteristics of the breathing guidance for increasing the predictability, or reproducibility, of the breathing motion state. According to the experimental evaluation results, the new system can reduce the deviation of the actual breathing motion from the desired/predictable breathing state. Thus, the system has the potential to achieve more effective breathing guidance.
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| Academic Significance and Societal Importance of the Research Achievements |
呼吸誘導システムでは，目標となる呼吸状態と実際の呼吸状態を人へと提示し，提示された情報をもとに人が呼吸を調整する．本研究では，この「実際の状態を確認しながら目標値へと調整するシステム」を制御システムとして捉えなおし，その性質を制御工学の知見を用いて解析し，その特性を改善する工夫を導入した．このような制御工学的観点に基づく呼吸誘導システムの改善は，従来の呼吸誘導システムにはなかった新規なアプローチである．本研究を通じて拓かれた制御工学的な呼吸誘導の特性改善手法には，放射線治療の効果・効率を向上させることが期待される．
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Report
(5 results)
Research Products
(27 results)
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[Journal Article] Hidden Markov Model-based Extraction of Target Objects in X-ray Image Sequence for Lung Radiation Therapy2020
Author(s)
新藤 雅大, 市地 慶, 本間 経康, 張 曉勇, 奥田 隼梧, 杉田 典大, 八巻 俊輔, 髙井 良尋, 吉澤 誠
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Journal Title
IEEJ Transactions on Electronics, Information and Systems
Volume: 140
Issue: 1
Pages: 49-60
DOI
NAID
ISSN
0385-4221, 1348-8155
Year and Date
2020-01-01
Related Report
Peer Reviewed
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