Application of Monte Carlo simulation in radiation dose estimation and optimization for diagnostic radiology
10.3760/cma.j.cn112271-20230704-00226
- VernacularTitle:蒙特卡罗模拟在放射诊断辐射剂量估算和优化中的应用
- Author:
Zhijie ZHANG
1
;
Yantao NIU
;
Lihua ZHU
;
Baohua SUN
Author Information
1. 北京航空航天大学物理学院，北京 100191
- Keywords:
Monte Carlo;
Diagnostic radiology;
X-rays;
Dose estimation
- From:
Chinese Journal of Radiological Medicine and Protection
2024;44(2):151-157
- CountryChina
- Language:Chinese
-
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.
