Zhang Zhijie,Niu Yantao,Zhu Lihua,Sun Baohua.Application of Monte Carlo simulation in radiation dose estimation and optimization for diagnostic radiology[J].Chinese Journal of Radiological Medicine and Protection,2024,44(2):151-157 |
Application of Monte Carlo simulation in radiation dose estimation and optimization for diagnostic radiology |
Received:July 04, 2023 |
DOI:10.3760/cma.j.cn112271-20230704-00226 |
KeyWords:Monte Carlo Diagnostic radiology X-rays Dose estimation |
FundProject:国家自然科学基金(U1867210、82271988) |
Author Name | Affiliation | E-mail | Zhang Zhijie | School of Physics, Beihang University, Beijing 100191, China | | Niu Yantao | Department of Radiology, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, China | ytniu163@163.com | Zhu Lihua | School of Physics, Beihang University, Beijing 100191, China | | Sun Baohua | School of Physics, Beihang University, Beijing 100191, China | |
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Abstract:: |
The increasing frequency of radiographic diagnostic imaging and the cumulative dose to the public from radiation has raised widespread concerns. However, accurate measurement of the radiation dose received by the human body is difficult to achieve. Monte Carlo simulation, as a numerical computational method guided by probability statistics theory, has been applied to various dose assessments, imaging optimizations, and radiation protection in radiographic diagnostic imaging. We provide a comprehensive review of the principles of the Monte Carlo method, the modelling process of Monte Carlo simulation and the progress of its application to diagnostic radiological dose estimation. |
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