2013 Fiscal Year Final Research Report
Development of tumor tracking radiotherapy by using a new algorithm for markerless MV-X ray imaging
| Project/Area Number |
24659554
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| Research Category |
Grant-in-Aid for Challenging Exploratory Research
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| Allocation Type | Single-year Grants |
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| Research Field |
Radiation science
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| Research Institution | Hirosaki University |
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Principal Investigator |
TAKAI Yoshihiro 弘前大学, 医学(系)研究科(研究院), 教授 (50107653)
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| Co-Investigator(Kenkyū-buntansha) |
HOMMA Noriyasu 東北大学, 大学院医学系研究科, 教授 (30282023)
NARITA Yuichiro 弘前大学, 大学院医学研究科, 講師 (30311385)
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| Project Period (FY) |
2012-04-01 – 2014-03-31
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| Keywords | 高精度放射線治療 / 追尾照射法 / マーカーレス追尾法 / MVX線画像 / 位置予測アルゴリズム |
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| Research Abstract |
We developed a new algorithm to track lung tumor motion without implanted fiducial markers by using MV X-ray fluoroscopy for a real-time image-guided radiotherapy. A core innovation of the new algorithm is to extract or "de-superimpose" a moving tumor component from the MX X-ray fluoroscopic sequence. The fluoroscopic intensity is the superimposition of intensities caused by objects passed through by the X-ray. The de-superimposition problem for more than two objects is thus ill-posed, but it can be transformed into a well-posed one by temporally accumulating constraints that must be satisfied by the de-superimposed moving tumor component and the rest of the intensity components. We clarified that a low sampling rate of the MV X-ray imaging system affects badly on the imaging quality such as blurring when the tumor moves faster. To avoid such blurring, a de-blurring technique has been developed by using tumor motion prediction. 3-D tracking method were also developed using MV and kV.
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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, Article ID 340821
Pages: 8
Peer Reviewed
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