PyMCGPU-IR Monte Carlo code test for occupational dosimetry

被引:0
|
作者
Balcaza, Victor Garcia [1 ,2 ]
Bosman, David Fernandez [1 ]
Badal, Andreu [3 ]
Von Barnekow, Ariel [1 ,2 ]
O'Connor, Una [4 ]
Camp, Anna [1 ,2 ]
Lopez, Joan Aranda [2 ]
Ginjaume, Merce [1 ,2 ]
Duch, Maria Amor [1 ,2 ]
机构
[1] Univ Politecn Catalunya UPC, Inst Tecn Energet, Barcelona, Spain
[2] Univ Politecn Cataluna, Res Ctr Biomed Engn, Barcelona, Spain
[3] US FDA, Div Imaging Diagnost & Software Reliabil, OSEL, CDRH, Silver Spring, MD USA
[4] St James Hosp, Med Phys & Bioengn Dept, Dublin, Ireland
关键词
D O I
10.1093/rpd/ncad072
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
PyMCGPU-IR is an innovative occupational dose monitoring tool for interventional radiology procedures. It reads the radiation data from the Radiation Dose Structured Report of the procedure and combines this information with the position of the monitored worker recorded using a 3D camera system. This information is used as an input file for the fast Monte Carlo radiation transport code MCGPU-IR in order to assess the organ doses, H-p(10) and H-p(0.07), as well as the effective dose. In this study, H-p(10) measurements of the first operator during an endovascular aortic aneurysm repair procedure and a coronary angiography using a ceiling suspended shield are compared to PyMCGPU-IR calculations. Differences in the two reported examples are found to be within 15%, which is considered as being very satisfactory. The study highlights the promising advantages of PyMCGPU-IR, although there are still several improvements that need to be implemented before its final clinical use.
引用
收藏
页码:730 / 735
页数:6
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