APPLICATIONS OF THE MONTE CARLO - LIBRARY LEAST-SQUARES METHOD TO THE IN VZVO XRF MEASUREMENT OF LEAD IN BONE

作者: S. H. Lee , Q. Ao , R. P. Gardner

DOI:

关键词:

摘要: The Monte Carlo - Library Least-Squares (MCLLS) approach has been used for the in vivo X-ray fluorescence (XRF) measurement of lead bone order to improve accuracy since there is a very low signal-to-background ratio this case. unique features are that it utilizes complete spectral information (including characteristic X rays and scatter response) rather than just peak information, automatically handles matrix effects any overlapping peaks, combines spectrum evaluation with quantitative analysis. Compared conventional area method, MCLLS improved XRF by reducing relative standard deviation factor from 3 20 prototype ro9Cdbased KXRF system 1.4 polarized tube beam-based LXRF system.

参考文章(9)
Ivor L. Preiss, William Washington, Skin thickness effects on in vivo LXRF Advances in x-ray analysis. ,vol. 38, pp. 607- 613 ,(1994) , 10.1007/978-1-4615-1797-9_72
Q. Ao, S.H. Lee, R.P. Gardner, Accuracy evaluation of K and L XRF lead in bone (tibia) measurement by simulation with the specific purpose Monte Carlo code NCSXRF nuclear science symposium and medical imaging conference. ,vol. 2, pp. 823- 827 ,(1995) , 10.1109/NSSMIC.1995.510396
T. He, R.P. Gardner, K. Verghese, The Monte Carlo—Library Least-Squares approach for energy-dispersive x-ray fluorescence analysis Applied Radiation and Isotopes. ,vol. 44, pp. 1381- 1388 ,(1993) , 10.1016/0969-8043(93)90089-S
Lars Ahlgren, Kurt Lidén, Sören Mattsson, Stig Tejning, X-ray fluorescence analysis of lead in human skeleton in vivo Scandinavian Journal of Work, Environment & Health. ,vol. 2, pp. 82- 86 ,(1976) , 10.5271/SJWEH.2815
R. P. Gardner, S. H. Lee, Monte Carlo Simulation of Pulse Pile Up ,(1999)
L. Wielopolski, J. F. Rosen, D. N. Slatkin, D. Vartsky, K. J. Ellis, S. H. Cohn, Feasibility of noninvasive analysis of lead in the human tibia by soft x-ray fluorescence Medical Physics. ,vol. 10, pp. 248- 251 ,(1983) , 10.1118/1.595244