Publication
Title
Fast reconstruction of CFRP X-ray images based on a neural network filtered backprojection approach
Author
Abstract
X-ray inspection of Carbon Fiber Reinforced Polymer (CFRP) is time consuming since many projections at different positions around the object are required to obtain reconstructions of the interior fiber composition of reasonable quality with classical reconstruction methods. In this work, we propose to reconstruct the interior of the CFRP samples with the Neural Network Filtered Backprojection (NN-FBP) method. This method combines several FBP reconstructions with different filters and is therefore able to reconstruct images in a fast way based on fewer projections with a similar image quality. Results show that the NN-FBP allows to drastically reduce the number of required projection images while still maintaining high quality image reconstructions.
Language
English
Source (journal)
Online e-journal of nondestructive testing. - -
Source (book)
7th Conference on Industrial Computed Tomography (ICT 2017), Leuven, Belgium
Publication
2017
ISSN
1435-4934
Volume/pages
(2017) , 2 p.
Full text (open access)
UAntwerpen
Faculty/Department
Research group
Project info
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Record
Identifier
Creation 04.10.2017
Last edited 22.08.2023
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