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The Development of a Parameterized Scatter Removal Algorithm for NMIS Imaging...

by Brandon R Grogan, John T Mihalczo
Publication Type
Conference Paper
Publication Date
Conference Name
INMM 51st Annual Meeting
Conference Location
Baltimore, Maryland, United States of America
Conference Sponsor
INMM
Conference Date
-

Neutron radiography is a powerful investigative technique for analyzing the interior structure of an object. If the true attenuation of neutrons at each position in the object can be measured, the cross-sections can be computed using the exponential attenuation formula. However, scattered neutrons will contribute to the measured neutron flux and reduce the measured attenuation. The Nuclear Materials Identification System (NMIS) uses a time-tagged and electronically collimated DT neutron source to reduce this effect; however, some of the scattering component remains. This work used Monte Carlo simulations to calculate the scattering component for a variety of scenarios. The scattering for each scenario was fit using a Gaussian distribution to derive a point scatter function. These point scatter functions were used to develop a parameterized scatter removal algorithm that can calculate and remove the scattering component for a wide range of scenarios based on operator inputs. The process used to calculate the scatter functions and develop the scatter removal algorithm is discussed in detail. Examples of simulated and experimental measurements are used to test and validate the algorithm.