Chen B, Zhuo W
Institute of Radiation Medicine, Fudan University, 2094 Xietu Road, Shanghai 200032, PR China.
Radiat Prot Dosimetry. 2012 Nov;152(1-3):114-8. doi: 10.1093/rpd/ncs203. Epub 2012 Aug 19.
The discrimination of different radiation signals is important for quantitative measurements of naturally occurring radionulides by using the technique of imaging plates (IPs). In this study, four discrimination algorithms previously proposed for discriminating and counting the incident alpha signals were experimentally compared from the view points of linearity response, the discrimination capability of alpha signals from beta signals and the detection uncertainty. The results showed that all the methods had a good linearity response and could discriminate alpha signals from beta signals. In general, a larger region of interest (ROI) has a higher detection efficiency, but the discrimination capability of alpha signals from beta signals is worse. By taking into account both the detection efficiency and the uncertainty of detection, the algorithm using an ROI of 5 × 100 μm × 100 μm was considered to be the most appropriate method for quantitative measurements of alpha radiation.
对于利用成像板（IP）技术对天然放射性核素进行定量测量而言，区分不同的辐射信号十分重要。在本研究中，从线性响应、α信号与β信号的区分能力以及检测不确定度的角度，对先前提出的四种用于区分和计数入射α信号的判别算法进行了实验比较。结果表明，所有方法均具有良好的线性响应，并且能够区分α信号与β信号。一般来说，较大的感兴趣区域（ROI）具有较高的检测效率，但α信号与β信号的区分能力较差。综合考虑检测效率和检测不确定度，使用5×100μm×100μm的ROI的算法被认为是α辐射定量测量的最合适方法。
