治療計画計算解剖モデルに基づく粒子線治療支援システムの開発
Publicly Offered Research
| Project Area | Computational anatomy for computer-aided diagnosis and therapy :Frontiers of medical image sciences |
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| Project/Area Number |
24103707
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| Research Category |
Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)
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| Allocation Type | Single-year Grants |
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| Review Section |
Science and Engineering
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| Research Institution | Kyushu University |
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Principal Investigator |
有村 秀孝 九州大学, 医学(系)研究科(研究院), 准教授 (20287353)
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| Project Period (FY) |
2012-04-01 – 2014-03-31
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| Project Status |
Completed (Fiscal Year 2013)
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| Budget Amount *help |
¥7,800,000 (Direct Cost: ¥6,000,000、Indirect Cost: ¥1,800,000)
Fiscal Year 2013: ¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000)
Fiscal Year 2012: ¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000)
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| Keywords | image analysis / computational anatomy / particle therapy / treatment planning / machine learning / 粒子線治療 / 患者セットアップエラー / 電子密度ビーム方向像 / パワースペクトル |
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| Research Abstract |
The principal investigator developed four image analysis approaches including computational anatomy models for treatment planning in computer-assisted particle therapy. The inadequate outcome of particle therapy could be caused by several uncertainties such as inter-observer variation of target (i.e., cancerous lesion) delineations, inter-fractional position and shape variations of the targets, and patient setup errors, and so on. Furthermore, sharp dose distributions could greatly deteriorate due to the setup errors and/or organ motions depending on particle beam direction. To mitigate these issues, we have developed mainly four image analysis approaches, i.e., (1) an automated extraction of tumors using a machine learning classifier with knowledge of radiation oncologists, (2) a framework for construction of statistical clinical target volume models with inter-observer delineation and inter-fractional variations in radiation treatment planning, (3) a quantitative evaluation approach of the robustness of beam directions against patient setup errors in the particle therapy, and (4) a similar case based treatment planning system. These technologies can be organized for construction of computer-assisted particle therapy systems, which can support radiation therapy practitioners.
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| Current Status of Research Progress |
Reason
25年度が最終年度であるため、記入しない。
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| Strategy for Future Research Activity |
25年度が最終年度であるため、記入しない。
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Report
(2 results)
Research Products
(20 results)
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[Journal Article] 放射線治療におけるelectronic portal imaging deviceを用いた4次元線量分布推定法の開発2013
Author(s)
溝口明日実, 有村秀孝, 塩山善之, 廣瀬貴章, 穴井重男, 本田浩, 梅津芳幸, 平田秀紀, 大喜 雅文, 中村和正, 豊福 不可依
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Journal Title
電子情報通信学会和文論文誌D
Volume: Vol.J96-D
Pages: 813-823
Related Report
Peer Reviewed
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[Presentation] Computer-aided Delineation of Tumour Regions for Lung Cancer in Multimodality Images by Localized Level Set Method2013
Author(s)
Ze Jin, Hidetaka Arimura, Yoshiyuki Shioyama, Jumpei Kuwazuru, Taiki Magome, Katsumasa Nakamura, Hidetake Yabuuchi, Hiroshi Honda, Fukai Toyofuku, Hideki Hirata, Masayuki Sasaki
Organizer
International Conference on the Use of Computers in Radiation Therapy ICCR2013
Place of Presentation
Melbourne, Australia
Related Report
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[Book] Springer2013
Author(s)
Arimura H, Magome T, et al.
Total Pages
30
Publisher
Computational Intelligent Image Analysis for Assisting Radiation Oncologists’ Decision Making in Radiation Treatment Planning
Related Report
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