2019 Fiscal Year Annual Research 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 | Radiation therapy / 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 FY2019 are summarized as follows. (1) Several thorax phantom-based experiments have been conducted at Tohoku university hospital and sets of kilo-voltage (kV) images data and megavoltage (MV) image data have been acquired for evaluation of tumor tracking system; (2) Extensive experiments have been conducted to evaluate the previous proposed tracking methods and compared with existing tracking methods; (3) A papers, which focused on extracting the tumor from X-ray images for accurate tracking, has been published in IEEJ transactions on electronics, information and system (電気学会論文誌C); (4) A Japanese patent (特許第6524497) and a United States patent (No. US10,504,225 B2) have been registered. (5) Several preliminary studies that utilize the deep learning techniques to extract the tumor from X-ray images have been conducted, and the experimental results demonstrated a promising perspective of the deep learning for radiation therapy.
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