Reconstruction corrections in advanced neutron tomography algorithms

Volume reconstruction methods operate by splitting the three-dimensional (3-D) reconstruction space into two-dimensional (2-D) data slices. Any of several algorithms (like FBP) available can be used to reconstruct 2-D cross-sectional images, which can then be stacked to provide a 3-D representation of internal volume of the object. The reconstruction process takes advantage from the improvement of raw data quality: the data pre-processing (that involves digital filtering) ensures that the reconstruction from low-contrast images can be performed with good details, allowing a better signal-to-noise ratio. This work describes the software treatment on data coming from the tomography system installed at the TRIGA reactor of in the ENEA´s Casaccia Research Centre, Rome, Italy.