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

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 Center Wels

Publikation: Beitrag in Buch/Bericht/Tagungsband › Konferenzbeitrag

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 …

Titel in Übersetzung	Fast Reconstruction of CFRP X-ray Images based on a Neural Network Filtered Backprojection Approach
Originalsprache	Deutsch
Titel	Proceedings of the 7th Conference on Industrial Computed Tomography, Leuven, Belgium (iCT 2017)
Seitenumfang	2
Publikationsstatus	Veröffentlicht - 2017
Veranstaltung	Conference on Industrial Computed Tomography 2017 (iCT2017) - Leuven, Belgien Dauer: 6 Feb. 2017 → 9 Feb. 2017 https://www.ict2017.org/

Konferenz

Konferenz	Conference on Industrial Computed Tomography 2017 (iCT2017)
Land/Gebiet	Belgien
Ort	Leuven
Zeitraum	06.02.2017 → 09.02.2017
Internetadresse	https://www.ict2017.org/

Zitieren

@inproceedings{43c05a04ce5444b992199d0b2d6c51be,

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

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 …",

author = "Eline Janssens and Sascha Senck and Christoph Heinzl and Johann Kastner and {De Beenhouwer}, Jan and Jan Sijbers",

year = "2017",

language = "Deutsch",

booktitle = "Proceedings of the 7th Conference on Industrial Computed Tomography, Leuven, Belgium (iCT 2017)",

note = "Conference on Industrial Computed Tomography 2017 (iCT2017) ; Conference date: 06-02-2017 Through 09-02-2017",

url = "https://www.ict2017.org/",

}

Janssens, E, Senck, S, Heinzl, C, Kastner, J, De Beenhouwer, J & Sijbers, J 2017, Fast Reconstruction of CFRP X-ray Images based on a Neural Network Filtered Backprojection Approach. in Proceedings of the 7th Conference on Industrial Computed Tomography, Leuven, Belgium (iCT 2017). Conference on Industrial Computed Tomography 2017 (iCT2017), Leuven, Belgien, 06.02.2017.

TY - GEN

T1 - Fast Reconstruction of CFRP X-ray Images based on a Neural Network Filtered Backprojection Approach

AU - Janssens, Eline

AU - Senck, Sascha

AU - Heinzl, Christoph

AU - Kastner, Johann

AU - De Beenhouwer, Jan

AU - Sijbers, Jan

PY - 2017

Y1 - 2017

N2 - 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 …

AB - 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 …

M3 - Konferenzbeitrag

BT - Proceedings of the 7th Conference on Industrial Computed Tomography, Leuven, Belgium (iCT 2017)

T2 - Conference on Industrial Computed Tomography 2017 (iCT2017)

Y2 - 6 February 2017 through 9 February 2017

ER -

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

Abstract

Konferenz

Fingerprint

Zitieren