Design and application of automated spot measurement and analysis method for scanning proton radiation therapy system(PDF)
《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]
- Issue:
- 2022年第10期
- Page:
- 1217-1224
- Research Field:
- 医学放射物理
- Publishing date:
Info
- Title:
- Design and application of automated spot measurement and analysis method for scanning proton radiation therapy system
- Author(s):
- LIU Zhipeng1; SHAN Chao1; PAN Lingjing1; WANG Yuxiang1; WANG Yuanyuan1; LU HsiaoMing1; 2
- 1. Hefei Ion Medical Center, the First Affiliated Hospital of University of Science and Technology of China, Hefei 230088, China 2. Ion Medical Research Institute, University of Science and Technology of China, Hefei 230088, China
- Keywords:
- Keywords: proton radiation therapy pencil beam scanning clinical commissioning spot analysis Lynx-PT
- PACS:
- R318;TP317.4
- DOI:
- DOI:10.3969/j.issn.1005-202X.2022.10.007
- Abstract:
- Abstract: Objective To design a method for automated proton spot measurement and analysis based on video scintillation detector Lynx-PT and pencil beam scanning (PBS) proton radiation therapy system, which can offer a reliable and efficient solution for PBS proton radiation therapy system commissioning, beam modeling, and routine quality assurance measurements. Methods Configuration items of PBS proton radiation therapy system and Lynx-PT were set up based on the spot acquisition requirements, and a data preprocessing workflow and a spot analysis workflow were designed and embedded in the self-developed software (SpotCheck) to realize the automation of spot acquisition, data preprocessing and spot analysis. Results The spot sizes calculated by SpotCheck were consistent with the results from a commercial software package (myQA, IBA, Belgium) and manufacturers on-site acceptance data. By SpotCheck, all the video data quality events were successfully recognized, and the measurement duration was significantly reduced from 4 days to 0.5 day. Conclusion The proposed method can provide accurate spot sizes, rapid spot acquisition and highly automated data processing, greatly improving the quality and efficiency of clinical commissioning and beam modeling.
Last Update: 2022-10-27