29 April 2013

X-TRACT - CT and Imaging tools

X-TRACT - a software for advanced X-ray image analysis and Computed Tomography currently in use on the MASSIVE cluster at the Australian Synchrotron, ANU and at the Shanghai Synchrotron in China. X-TRACT implements a large number of conventional and advanced algorithms for 2D and 3D X-ray image reconstruction and simulation.

Major X-TRACT functionality is now available as part of Cloud-Based Image Analysis and Processing Toolbox. The following features are implemented:

FUNCTION
DESCRIPTION FROM END-USERS PERSPECTIVE
Sinogram creation
X-ray projection data must first be converted into sinograms before CTreconstruction can be carried out. Each sinogram contains data from a single row of detector pixels for each illuminating angles. This data is sufficient for the reconstruction of a single axial slice (at least, in parallel-beam geometry).
Ring artefact removal
Ring artefacts are caused by imperfect detector pixel elements as well as by defects or impurities in the scintillator crystals. Ring artefacts can be reduced by applying various image processing techniques on sinograms or reconstructed images.
Dark current subtraction
Dark current subtraction compensates for the readout noise, ADC oset, and dark current in the detector. The dark current images are collected before and/or after CT measurements with no radiation applied and with the same integration time as the one used during the measurements. The dark current image is subtracted from each CT projection.
Flat field correction
Flat-field images are obtained under the same conditions as the actual CT projections, but without the sample in the beam. They allow one to correct the CT projections for the unevenness of the X-ray illumination.
Positional drift correction
The function is used for correction of transverse drift between related experimental images.  Image drift is assessed by cross-correlating pairs of images.
Data normalisation
Data normalisation
TIE-based phase extraction
The TIE algorithm allows the recovery of the optical phase of an electromagnetic wave (e.g. an X-ray beam) from a single near-field in-line image by solving the Transport of Intensity equation under the assumption that the phase shift and absorption distributions are proportional to each other. This method is usually applied in propagation-based in-line CT imaging (PCI-CT).
FBP CT reconstruction
Filtered back-projection (FBP) parallel-beam CT reconstruction.
Gridrec CT reconstruction
High speed CT reconstruction algorithm.
Centre of rotation
Automated calculation of the centre of sample rotation in a CT scan from experimental X-ray projections, sinograms or reconstructed axial slices.
CT Reconstruction Filters
The choice of available CT reconstruction filters will include at least the Liner-Ramp, Shepp-Logan, Cosine, Hamming and Hann filters.
ROI reconstruction
This option enables the user to select a subset of axial slices to be reconstructed and/or limit the reconstruction area to a user-defined rectangular subarea of the axial slice. The option reduces the reconstruction time and the size of the output data.


 And here's a short video showing the basic usage of X-TRACT in Galaxy cloud:





1 comment:

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