2018 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 | 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 FY2018 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. (3) Based on our previous study, a key-point based tracking method has been published in a prime journal (IF 2017: 2.7). (4) In order to improve the tracking accuracy, a hidden Markov model-based method is proposed to extract the tumor from the radiographic image sequences. The preliminarily experimental results demonstrated the effectiveness of the proposed method. (5) Several deep learning-based methods have been investigated for tumor segmentation and tracking in kV and MV images.
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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 FY2018, 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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| Causes of Carryover |
According to the research plan, a graphics processing unit (GPU)-based tracking software framework should be developed and evaluated in FY2018. For this task, a high-performance computer or workstation with GPGUP were investigated. In September 2018, Nvidia launched a new RTX graphics cards, GeForce RTX 2080 Ti, which was the considered for our development. However, after the RTX 2080 Ti launching, we found that many owners of Nvidia's RTX reported a dying issue of this product. Nvidia also confirmed that the problem is due to "limited test escapes" after the problems were reported.
Therefore, we plan to wait the company solve this hardware issue, and re-investigate a new GPGPU in the FY2019.
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