Development of precise real-time adaptive tumor following beam control for next generation of 4-dimensional image guided radiation therapy
| Project/Area Number |
25293258
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Partial Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Radiation science
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| Research Institution | Tohoku University |
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Principal Investigator |
Homma Noriyasu 東北大学, 医学(系)研究科(研究院), 教授 (30282023)
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| Co-Investigator(Kenkyū-buntansha) |
TAKAI Yoshihiro 弘前大学, 大学院医学研究科, 教授 (50107653)
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| Co-Investigator(Renkei-kenkyūsha) |
YOSHIZAWA Makoto 東北大学, サイバーサイエンスセンター, 教授 (60166931)
NARITA Yuichiro 弘前大学, 大学院医学研究科, 講師 (30311385)
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| Project Period (FY) |
2013-04-01 – 2016-03-31
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| Project Status |
Completed (Fiscal Year 2015)
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| Budget Amount *help |
¥11,700,000 (Direct Cost: ¥9,000,000、Indirect Cost: ¥2,700,000)
Fiscal Year 2015: ¥3,770,000 (Direct Cost: ¥2,900,000、Indirect Cost: ¥870,000)
Fiscal Year 2014: ¥2,990,000 (Direct Cost: ¥2,300,000、Indirect Cost: ¥690,000)
Fiscal Year 2013: ¥4,940,000 (Direct Cost: ¥3,800,000、Indirect Cost: ¥1,140,000)
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| Keywords | 画像誘導放射線治療 / 腫瘍追尾照射 / 放射線治療 / 画像計測 / 制御工学 |
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| Outline of Final Research Achievements |
In radiation therapy, intra-fractional tumor motion significantly limits the efficiency of radiation delivery and brings potential risk for organs around the tumor. Conformable tumor following beam control is an ideal solution for such intra-fractional motion problem. In this study, two key techniques of real-time markerless tumor tracking and motion prediction have been developed for such accurate beam control that can be implemented on radiotherapy instruments widely used in clinic. Experimental results demonstrate that the proposed techniques outperform the conventional methods and more importantly, they can achieve clinically useful performance.
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Report
(4 results)
Research Products
(35 results)
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[Journal Article] Markerless Lung Tumor Motion Tracking by Dynamic Decomposition of X-ray Image Intensity2013
Author(s)
N. Homma, Y. Takai, H. Endo, K. Ichiji, Y. Narita, X. Zhang, M. Sakai, M. Osanai, M. Abe, N. Sugita, M. Yoshizawa
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Journal Title
Journal of Medical Engineering
Volume: Vol.2013
Pages: 340821-340821
DOI
Related Report
Peer Reviewed
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