@conference {1785, title = {Dual axis Dark Field Contrast Tomography for visualisation of scattering directions in a CFRP sample}, year = {2017}, pages = {79-80}, address = {Z{\"u}rich, Switzerland}, abstract = {In Carbon Fiber Reinforced Polymer (CFRP), the carbon fibers embedded into the polymer matrix cause scattering when inspected with X-rays. This scattering is captured within the dark field image when the sample is scanned with a grating based interferometer. The main disadvantage is, however, that only directional scattering information can be achieved due to the orientation of the gratings. By scanning the sample twice, with a 90 degrees rotation of the sample in between, information from two different scattering directions can be combined into one 3D reconstruction volume. In this abstract, such an approach is shown to improve the representation of scattering inside the sample.}, keywords = {Dark field tomography, Dual axis, Phase contrast, Tomography, X-rays}, url = {https://indico.psi.ch/getFile.py/access?resId=1\&materialId=2\&confId=5055}, author = {Eline Janssens and Jan De Beenhouwer and Jonathan Sanctorum and Sascha Senck and Christoph Heinzl and Jan Sijbers} } @inproceedings {1753, title = {Fast Reconstruction of CFRP X-ray Images based on a Neural Network Filtered Backprojection Approach}, booktitle = {7th Conference on Industrial Computed Tomography}, year = {2017}, address = {Leuven, Belgium}, url = {http://www.ndt.net/events/iCT2017/app/content/Extended_Abstract/63_Janssens_Rev4.pdf}, author = {Eline Janssens and Sascha Senck and Christoph Heinzl and Johann Kastner and Jan De Beenhouwer and Jan Sijbers} } @conference {1784, title = {A workflow to reconstruct grating-based X-ray phase contrast CT images: application to CFRP samples}, year = {2017}, pages = {139-140}, address = {Z{\"u}rich, Switzerland}, abstract = {Carbon fiber reinforced polymer (CFRP) is an extremely strong and lightweight plastic of which the strength depends on the distribution of its fibers. Fiber bundles can be visualized by means of phase contrast X-ray computed tomography (PCCT) based on grating-based interferometry (GBI). However, many steps are involved in the reconstruction of GBI-PCCT images. In this abstract, a workflow for the reconstruction of 3D CFRP phase contrast images based on GBI projection data is presented.}, keywords = {Carbon fiber reinforced polymer, Image processing, Phase contrast, Tomography, X-rays}, url = {https://indico.psi.ch/getFile.py/access?resId=1\&materialId=2\&confId=5055}, author = {Jonathan Sanctorum and Eline Janssens and Arnold Jan den Dekker and Sascha Senck and Christoph Heinzl and Jan De Beenhouwer and Jan Sijbers} }