2016 Fiscal Year Final Research Report
Patient setup system using a virtual X-ray image
Project/Area Number |
15K19212
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Research Category |
Grant-in-Aid for Young Scientists (B)
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Allocation Type | Multi-year Fund |
Research Field |
Medical Physics and Radiological Technology
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Research Institution | Japanese Foundation for Cancer Research |
Principal Investigator |
Hashimoto Masatoshi 公益財団法人がん研究会, 有明病院 放射線治療部, 医学物理士 (40375845)
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Co-Investigator(Renkei-kenkyūsha) |
HAGA Akihiro 東京大学, 医学部附属病院, 助教 (30448021)
NAWA Kanabu 東京大学, 医学部附属病院, 助教 (00456914)
NAKANO Masahiro がん研究会, 放射線治療部, 医学物理士 (50780384)
TAKAHASHI Ryo がん研究会, 放射線治療部, 診療放射線技師 (10716757)
MATSUBAYASHI Fumiyasu がん研究会, 放射線治療部, 診療放射線技師 (60716760)
ITO Yasushi がん研究会, 放射線治療部, 診療放射線技師 (90627564)
KOZUKA Takuyo がん研究会, 放射線治療部, 副部長 (30300932)
OGUCHI Masahiko がん研究会, 放射線治療部, 部長 (50169257)
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Project Period (FY) |
2015-04-01 – 2017-03-31
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Keywords | 放射線治療 / 外部照射 / 患者セットアップ / 距離画像センサ |
Outline of Final Research Achievements |
This study aimed to build a system to generate virtual X-ray images of patient position at the time of radiotherapy based on skinned mesh animation from depth images and skeleton data acquired by a range imaging sensor. We constructed a system to generate a virtual X-ray image which can be directly compared with digitally reconstructed radiograph (DRR) in real time using a range imaging sensor and treatment planning computed tomography images. In order to improve the accuracy of the virtual X-ray image, it is necessary to improve the reproducibility of the skeleton data and the detection accuracy of the depth image. This system enables highly accurate and non-invasive patient setup, and will lead to safer and more accurate radiotherapy.
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Free Research Field |
医学物理学
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