Fast Reconstruction of CFRP X-ray Images based on a Neural Network Filtered Backprojection Approach

Eline Janssens, Sascha Senck, Christoph Heinzl, Johann Kastner, Jan De Beenhouwer, Jan Sijbers

Research output: Chapter in Book/Report/Conference proceedingsConference contribution

Abstract

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 …
Translated title of the contributionFast Reconstruction of CFRP X-ray Images based on a Neural Network Filtered Backprojection Approach
Original languageGerman
Title of host publicationProceedings of the 7th Conference on Industrial Computed Tomography, Leuven, Belgium (iCT 2017)
Number of pages2
Publication statusPublished - 2017
EventConference on Industrial Computed Tomography 2017 (iCT2017) - Leuven, Belgium
Duration: 6 Feb 20179 Feb 2017
https://www.ict2017.org/

Conference

ConferenceConference on Industrial Computed Tomography 2017 (iCT2017)
CountryBelgium
CityLeuven
Period06.02.201709.02.2017
Internet address

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