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 NameAffiliationE-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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