Abstract Interventional radiologists/cardiologists are repeatedly exposed to low radiation doses which makes them the group of the highest occupational exposure and put them at high risk of stochastic effects. Routine monitoring of staff is usually performed by means of passive dosimeters. However, current personal dosimeters are subject to large uncertainties, especially in non-homogeneous fields, like those found in interventional cardiology (IC). Within the PODIUM (Personal Online DosImetry Using computational Methods) research project, a user-friendly tool was developed based on MCNP code to calculate doses to the staff in IC. The application uses both the data of motion tracking system to generate the position of the operator and the data from the Radiation Dose Structure Report (RDSR) from the imaging device to generate time-dependent parameters of the radiation source. The results of the first clinical validation of the system show a difference of about 50% between simulated H p ( 10 ) with MCNP and measured H p ( 10 ) with electronic personal dosimeter worn above the lead apron.

中文翻译：

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在介入放射学中使用计算方法实现在线个人剂量测定的第一步：操作员的位置跟踪和模拟输入生成

摘要 介入放射科医生/心脏病专家反复暴露于低辐射剂量下，这使他们成为职业暴露最高的群体，并使他们处于随机效应的高风险中。工作人员的日常监测通常通过被动剂量计进行。然而，当前的个人剂量计存在很大的不确定性，尤其是在非均匀场中，例如在介入心脏病学 (IC) 中发现的那些。在 PODIUM（使用计算方法的个人在线剂量测量）研究项目中，基于 MCNP 代码开发了一个用户友好的工具来计算 IC 工作人员的剂量。该应用程序使用运动跟踪系统的数据来生成操作员的位置，并使用来自成像设备的辐射剂量结构报告 (RDSR) 的数据来生成辐射源的时间相关参数。该系统的第一次临床验证结果显示，使用 MCNP 模拟的 H p (10) 与使用戴在铅围裙上方的电子个人剂量计测量的 H p (10) 之间存在约 50% 的差异。