Han Jun,Liu Hongyuan,Yang Jing,Cao Ting,Hu Bin,Zhu Bin,Li Qin.Validation of a rapid method for synchrony tracking precision detection for the CyberKnife system[J].Chinese Journal of Radiological Medicine and Protection,2018,38(1):17-20
Validation of a rapid method for synchrony tracking precision detection for the CyberKnife system
Received:September 18, 2017  
DOI:10.3760/cma.j.issn.0254-5098.2018.01.004
KeyWords:CyberKnife  Synchrony tracking  Auto quality assurance  End to end
FundProject:国家重点研发计划数字化诊疗装备研发专项(2016YFC0106701)
Author NameAffiliationE-mail
Han Jun Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China  
Liu Hongyuan Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China  
Yang Jing Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China  
Cao Ting Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China  
Hu Bin Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China  
Zhu Bin Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China  
Li Qin Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China 675181445@qq.com 
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Abstract::
      Objective To establish a rapid synchrony tracking precision detection method for the CyberKnife system by comparing the data between experimental measurements and end to end (E2E) result. Methods The auto quality assurance (AQA) phantom was placed on the synchrony motion plat and irradiated by two orthogonal beams. The concentricity of the beam projection center on the film and the wolfram center were analyzed through AQA software to detect tracking precision. The planning implement time of experimental measurements and E2E was then compared. Results No significant difference was found between the measurement and E2E data (P>0.05). The time for setting up and modeling in two approaches was identical and the average time for planning implement was 144 and 723 s, respectively. Conclusions The method in our analysis could reduce the procedure time and supplement the AQA and synchrony E2E test, which might be conducted in the morning quality assurance (QA) or weekly QA for CyberKnife system.
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