2017 Fiscal Year Research-status Report
Development of High-Accuracy Tumor Tracking Systems for Next-Generation Radi ation Therapy Technology
| Project/Area Number |
17K17582
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| Research Institution | Sendai National College of Technology |
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Principal Investigator |
張 暁勇 仙台高等専門学校, 総合工学科, 助教 (90722752)
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| Project Period (FY) |
2017-04-01 – 2020-03-31
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| Keywords | IGRT / Radiographic imaging / Tumor tracking / Hidden Markov model |
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| Outline of Annual Research Achievements |
The purpose of this research is to develop a markerless tracking system for image-guided radiation therapy. The tracking system is capable of tracking the respiration-induced tumor motion automatically in real-time during radiation delivery, and will be able to provide conformable tumor motion information and to allow the treatment device to deliver high-dose conformable radiation to the moving target accurately.
According to the research plan, the research achievements in the FY2017 are summarized as follows. (1) Several primitive thorax phantoms with mobile tumor have been made using a 3-D printer. (2) Using a 3-D phantom stage, the phantom experiment has been conducted at Tohoku university hospital and several kilo-voltage (kV) images data and megavoltage image data have been acquired (3) A graphical user interface (GUI) for analyzing the tumor motion has been developed using MATLAB. The tumor motion and its boundary can be drawn manually by multiple clinicians. (4) In order to improve the tracking accuracy, a hidden Markov model is proposed to extract the tumor from the radiographic image sequences. The preliminarily experimental results demonstrated the effectiveness of the proposed method.
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| Current Status of Research Progress |
Current Status of Research Progress
2: Research has progressed on the whole more than it was originally planned.
Reason
In the FY2017, the research has been conducted and progressed smoothly according to the research plan. A paper about tracking the deformable tumor motion in kV and MV images will be submitted to a prime international journal (Medical Physics). Several related researches on the tumor tracking in kV and MV images have also been presented in domestic and international conference.
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| Strategy for Future Research Activity |
According to the research plan, the main research in FY2018 will be focused on the following three tasks. (1) Continually developing the real-time tracking system based on a high-accuracy and high-speed tracking algorithm. (2) Phantom experiments will be continually conducted for analyzing visual quality of the tumor under the different irradiation situation. (3) Improve the tracking performance of the current tracking system.
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[Presentation] 深層学習による乳房X線画像上の腫瘤鑑別2017
Author(s)
鈴木真太郎, 張曉勇, 佐々木拓也, 本間経康, 市地慶, 魚住洋佑, 高根侑美, 柳垣聡, 川住祐介, 石橋忠司, 吉澤誠
Organizer
第11回コンピューテーショナル・インテリジェンス研究会
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