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Reimagining nuclear materials for the future of medicine
Nuclear medicine has come a long way since Henri Becquerel first observed the penetrating energy of radioactive materials in 1896. Today, technetium-99m alone is used in more than 40 million diagnostic procedures every year—from cardiovascular imaging and bone scans to cancer detection—making it the undisputed workhorse of nuclear medicine. That single statistic tells you something important: An enormous portion of modern diagnostic medicine rests on a surprisingly narrow foundation, one built around a small number of aging research reactors that were never originally designed for continuous isotope production.
A. Querol, S. Gallardo, J. Ródenas, G. Verdú
Nuclear Technology | Volume 175 | Number 1 | July 2011 | Pages 63-72
Technical Paper | Special Issue on the 16th Biennial Topical Meeting of the Radiation Protection and Shielding Division / Radiation Transport and Protection | doi.org/10.13182/NT11-A12271
Articles are hosted by Taylor and Francis Online.
Quality control of mammography units is necessary to reduce the dose imparted to women as much as possible. Accurate characterization of the primary X-ray spectra is very useful for this purpose. Obtaining primary spectra normally involves the use of unfolding methods to be applied to pulse-height distributions (PHDs) measured in detector devices. In this work, the modified truncated singular value decomposition, the damped singular value decomposition, and the Tikhonov unfolding methods have been applied to several PHDs simulated with the Monte Carlo code MCNP5. The main goal of this paper is to test the capability of these unfolding methods to reproduce different primary spectra, corresponding to several high voltages and to the different anode materials molybdenum and rhodium. With this aim, an MCNP5 model has been developed to reproduce an actual experimental measurement including the X-ray focus, a Compton spectrometer, and a silicon detector. Quality parameters, such as the half-value layer, homogeneity factor, mean energy, and transmission curve, have been evaluated to see the effect of discrepancies observed between unfolded and theoretical spectra.