TY - JOUR
T1 - Using the Monte Carlo - Library Least-Squares (MCLLS) approach for the in vivo XRF measurement of lead in bone
AU - Guo, Weijun
AU - Gardner, Robin P.
AU - Todd, Andrew C.
N1 - Funding Information:
The work described was supported by grant number 2R01ES06671 from the National Institute of Environmental Health Sciences, National Institutes of Health, US Public Health Service. Its contents are solely the responsibility of the authors and do not necessarily represent the official views of the NIEHS, NIH.
PY - 2004/1/11
Y1 - 2004/1/11
N2 - The Monte Carlo - Library Least-Squares (MCLLS) method has been developed by the Center for Engineering Applications of Radioisotopes for various XRF applications of multi-elemental composition analysis and implemented with the CEARXRF code. In the present work, it is successfully applied to the in vivo XRF measurement of lead in bone and benchmarked by the measurement of a plaster of Paris phantom of known lead concentration. It is implicitly assumed that if the approach works for this sample that closely approximates the real problem of interest, it will also work for the real in vivo case when the proper description of the real case is used. Traditional techniques for XRF analysis are reviewed briefly and the full advantages of the MCLLS method are discussed. Simulation results are presented that are in good agreement with experimental results. The applicability of the MCLLS method to the lead in bone measurement is supported by the good fitting results obtained with simulated Monte Carlo elemental library spectra and close agreement between simulated and experimental spectra from a calcium-rich matrix-based calibration standard in a test geometrical configuration.
AB - The Monte Carlo - Library Least-Squares (MCLLS) method has been developed by the Center for Engineering Applications of Radioisotopes for various XRF applications of multi-elemental composition analysis and implemented with the CEARXRF code. In the present work, it is successfully applied to the in vivo XRF measurement of lead in bone and benchmarked by the measurement of a plaster of Paris phantom of known lead concentration. It is implicitly assumed that if the approach works for this sample that closely approximates the real problem of interest, it will also work for the real in vivo case when the proper description of the real case is used. Traditional techniques for XRF analysis are reviewed briefly and the full advantages of the MCLLS method are discussed. Simulation results are presented that are in good agreement with experimental results. The applicability of the MCLLS method to the lead in bone measurement is supported by the good fitting results obtained with simulated Monte Carlo elemental library spectra and close agreement between simulated and experimental spectra from a calcium-rich matrix-based calibration standard in a test geometrical configuration.
KW - CEARXRF
KW - In vivo lead in bone measurement
KW - Least-squares fitting
KW - MCLLS
KW - XRF
UR - http://www.scopus.com/inward/record.url?scp=0348107097&partnerID=8YFLogxK
U2 - 10.1016/j.nima.2003.09.030
DO - 10.1016/j.nima.2003.09.030
M3 - Article
AN - SCOPUS:0348107097
SN - 0168-9002
VL - 516
SP - 586
EP - 593
JO - Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
JF - Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
IS - 2-3
ER -