Fiber Orientation Estimation from X-ray Dark Field Images of Fiber Reinforced Polymers using Constrained Spherical Deconvolution: Data

DOI10.5281/zenodo.8089557Zenodo8089557MaRDI QIDQ6709595

Dataset published at Zenodo repository.

Ben Huyge, Jan Sijbers, Jonathan Sanctorum, Jan de Beenhouwer, Ben Jeurissen

Publication date: 28 June 2023

Copyright license: Creative Commons Attribution 4.0 International

Description

The data was simulated in GATEv8.0. The macros and other files for the simulation can be found in the folders: Sim_50_40, Sim80_60 and Sim90_70. Here,the different files to perform the simulation are given, as well as the output data, found in the folders Flats and Projs (flatfields and projections) in the form of a csv-file. The csv-file contains 5000 rows (one for each image), and each row contains a flattened 450x450 image. The files for visualization of the fiber directions are given in the folder MRtrix. Thisfolder contains the reconstructed scatter magnitudes and their respective directions in a mat-file.On this set of directions the constrained spherical deconvolution is applied using the sf_dirs.mif, sf_mask.mif, sf_response.mif and data.mif files. This returns the orientation density function in each voxel as output (odf_csd_14.mif). An alternative approach is performing a Funk-Radon transform on the coefficients of the scatter function (data_coeffs_10.mif) to obtain odf_frt_10.mif. Using a peak finding algorithm the fiber orientations are extracted from these odf-files and written to peaks_x.mif files, with or withouta threshold (10% of largest amplitude).

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