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.
Reconstruction corrections in advanced neutron tomography algorithms
Massari R
2005
Abstract
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
