In vivo measurements background estimation of low energy trough the anthropometric parameters correlation and with the potassium body content

The occupational monitoring of individuals with potential risk of incorporation of radionuclides such as Am-241, U-238, U-235 and Ra-226 by inhalation in workplaces where particulates in suspension can be present, is frequently performed by in vivo measurements of the lungs. The activity calculation involves a comparison of the acquired spectrum with a reference spectrum. The accuracy of the background prediction is critical when the expected activities are close to the minimum detection limit. This is the case of occupational monitoring where most of the activities observed are bellow or very close the detection limit. The use of a inappropriate reference spectrum can lead to false-positive or false-negative results. The variability of potassium content among individuals in one of the major factors in the fluctuation of the count rate in the low energy region of the spectrum. This contribution is associated with the Compton effect due to the interaction of 1461 keV photons emitted by K-40. In order to verify the correlation between the background count rate in the various regions of interest of the low energy spectra with the potassium mass in the body it was designed an experimental procedure consisting of measuring a thoracic phantom containing known amounts of potassium. The strong correlation observed motivated the continuity of this work which consisted in the analysis of real low energy in vivo spectra with the aim of verifying the correlation between anthropometric parameters (sex, age, weight and height) and the count rates in the region of K-40 with the count rates in the low energy regions of interest. The results obtained show a significant correlation between the selected parameters with the count rate of the background. This allows a more reliable estimation of activity of low energy radionuclides in individuals monitored through in vivo measurements. The occupational monitoring. (author)