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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
