<p>A novel system has been simulated with accompanying experimental data that is designed to provide spatial information of elemental concentrations at biologically relevant levels. Using a deuterium-deuterium (DD) neutron generator, two large high-purity germanium (HPGe) detectors operating in tandem, and the associated particle imaging (API) technique, elemental iron concentrations as low as 100 ppm have been resolved <i>in vivo</i> in the liver of a simulated reference man with an equivalent dose to the region of interest of < 5 mSv and an estimated whole body dose of 0.82 mSv. Using the Monte Carlo Neutral Particle (MCNP) transport code, achievable spatial resolutions in the projective and depth dimensions of < 1 cm and < 3 cm are achievable, respectively, for iron-containing voxels on the order of 1,000 ppm Fe – with an overall 225 ps system timing resolution, 6.25 mm² imaging plate pixels, and a Gaussian-distributed DD neutron source spot with a diameter of 2 mm. Additionally, as a departure from Monte Carlo simulations, the underlying concepts of fast neutron inelastic scatter analysis as an initial surrogate to true associated particle neutron elemental imaging (APNEI) were demonstrated using a DD neutron generator, iron-made interrogation targets, a sodium iodide detector, and physical neutron/gamma shielding, which yielded an approximate detection limit for iron of 3.45 kg which was simulated to improve to 0.44 kg upon incorporation of the associated particle collimation methodology.</p> The API technique allows concentrations of elements such as iron to be quantified due to time-tagged electronic collimation and corresponding background signal reduction. Inherent to the API process is the collection of spatial and temporal information, which allows the perceived origin of a photon signal to be identified in 3D space. This process was modeled algorithmically in MCNP and employed using relevant equipment and shielding geometries. By leveraging the capabilities of modern-day neutron generator and coincident timing technologies with high throughput signal processing discrimination, the applicability of APNEI to disease diagnostics and etiological research is promising.

Le système EURITRACK, basé sur la technique de la particule associée, vise à détecter des explosifs et des drogues dans les conteneurs maritimes avec des neutrons de 14 MeV produits par la réaction D(T,)n. La particule alpha et le neutron sont émis environ à 180° l'un de l'autre. Les réactions induites par le neutron produisent des rayonnements gamma qui sont détectés en coïncidence avec la particule alpha pour déterminer la direction et le temps de vol neutronique, et ainsi remonter à l'origine des rayonnements gamma dans le conteneur. La composition chimique est obtenue par déconvolution du spectre gamma en signatures élémentaires (C, O, N, Fe,…). Les rapports des nombres de coups du carbone, de l'oxygène et de l'azote sont convertis en proportions chimiques, afin de distinguer les matières organiques bénignes et illicites, via des facteurs calculés par simulation Monte Carlo et validés expérimentalement. Ils prennent en compte la modération neutronique et l'atténuation photonique dans les marchandises transportées. L'application à la caractérisation élémentaire des déchets radioactifs est aussi étudiée par simulation, avec des écrans et collimateurs pour limiter le bruit dû à l'émission radiologique des colis. / The EURITRACK inspection system, based on the associated particle technique, aims at detecting explosives and narcotics in cargo containers with 14 MeV neutrons produced by the D(T,)n reaction. Alpha particle and neutron are emitted almost back to back. Reactions induced by fast neutrons produce gamma rays which are detected in coincidence with the alpha particle to determine the neutron direction. Neutron time-of-flight allows to determine gamma-ray origin inside the container. Information concerning material composition is obtained by unfolding the gamma spectrum into elemental signatures using a database of elemental spectra (C, O, N, Fe…). Carbon, oxygen, and nitrogen count ratios are converted into chemical proportions to distinguish illicit and benign organic materials. Conversion factors based on Monte Carlo simulations have been calculated and validated experimentally, taking into account neutron slowing down and photon attenuation in cargo materials. Application to the elemental characterisation of radioactive wastes is also studied by numerical simulation, with shields and collimators to limit the background due to waste radiations.