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. © 2005 IEEE.
All Science Journal Classification (ASJC) codes
- Nuclear and High Energy Physics
- Nuclear Energy and Engineering
- Electrical and Electronic Engineering
Rosa, R., Chirco, P., & Massari, R. (2005). Reconstruction corrections in advanced neutron tomography algorithms. IEEE Transactions on Nuclear Science, 52(1 II), 400 - 403. https://doi.org/10.1109/TNS.2005.843641