Hyperspectral X-ray CT dataset of a single, iodine-stained lizard head sample

General Data description:

This is a hyperspectral (energy-resolved) X-ray CT projection dataset of a lizard head sample, stained with an iodine contrast agent. It was acquired in a custom-built, laboratory micro-CT scanner with an energy-sensitive HEXITEC detector in the Henry Moseley X-ray Imaging Facility at The University of Manchester.

The following data contains all the files necessary for reconstruction, after a hyperspectral scan was taken of a single, iodine-stained lizard head sample. The iodine contrast agent provided a spectral marker, measured by an energy-sensitive detector, which may be used for spatial mapping and segmentation of stained soft tissue regions.

File descriptions:

Contained are four MATLAB (.mat) data files, as well as a single text (.txt) file.

Lizard_head_scan_parameters.txt provides the full sample and detector geometry of the scan acquisition.

lizard_180Proj_noSupp_1_180.mat contains the full 4D sinogram constructed following flatfield normalisation of the raw projection data. The 4D array contains the total number of energy channels acquired during scanning, vertical and horizontal pixel number, and total projections angles acquired. The data provided is prior to application of any post-processing filters. The first 180 energy channels are included.

lizard_180Proj_Supp_1_180.mat contains the full 4D sinogram constructed following flatfield normalisation of the raw projection data. This dataset is identical to the .mat file above, however here we have also applied a ring-reduction filter, using a wavelet-based Fourier filter which suppresses the presence of ring artefacts in every energy channel. The first 180 energy channels are included.

Energy_axis.mat provides a direct conversion between the energy channels, and the energies (in keV) that they correspond to, following a calibration procedure prior to scanning.

FF.mat contains the 4D flatfield data acquired when no sample was present. This data was used to normalise the projection datasets, as the sinogram was constructed. The first 180 energy channels are included.