通过使用蒙特卡罗代码CEARXRF进行模拟，优化用于骨铅的体内X射线荧光分析方法。

Optimization of in vivo X-ray fluorescence analysis methods for bone lead by simulation with the Monte Carlo code CEARXRF.

作者信息

Ao Q, Lee S H, Gardner R P

机构信息

Department of Nuclear Engineering, North Carolina State University, Raleigh 27695-7909, USA.

出版信息

Appl Radiat Isot. 1997 Oct-Dec;48(10-12):1413-23. doi: 10.1016/s0969-8043(97)00137-1.

DOI:10.1016/s0969-8043(97)00137-1

PMID:9463867

Abstract

In the design of X-ray fluorescence (XRF) systems for in vivo measurements of lead in human bone, the most important considerations are the minimum detectable concentration (MDC), and accuracy and precision. Possible design optimizations can be investigated much more easily and economically by Monte Carlo simulation than by experiment. The specific purpose Monte Carlo code CEARXRF has been used in the present study for: (1) improving the MDC of a hypothesized in vivo 109Cd source-based KXRF system and a 109Cd source or X-ray tube source-based LXRF system by investigating the effects of source polarization and source-bone-detector geometry modification on reducing the scattering background, and (2) investigating the effects of sample variables, such as overlying skin thickness on the MDC and the lead XRF intensity precision. In addition, the feasibility of the Monte Carlo-Library Least-Squares (MCLLS) approach has been investigated in a preliminary fashion for 109Cd-based KXRF spectroscopy analysis.

摘要

在用于人体骨骼中铅的体内测量的X射线荧光（XRF）系统设计中，最重要的考虑因素是最低检测浓度（MDC）以及准确性和精密度。与实验相比，通过蒙特卡罗模拟可以更轻松、更经济地研究可能的设计优化。本研究中使用了特定用途的蒙特卡罗代码CEARXRF，用于：（1）通过研究源极化和源-骨-探测器几何形状修改对降低散射背景的影响，提高基于体内109Cd源的KXRF系统以及基于109Cd源或X射线管源的LXRF系统的MDC；（2）研究样品变量，如覆盖皮肤厚度对MDC和铅XRF强度精密度的影响。此外，还初步研究了蒙特卡罗-库最小二乘法（MCLLS）用于基于109Cd的KXRF光谱分析的可行性。