TomoPy with UFO

Here is an example on how to use TomoPy with UFO and its accompanying reconstruction algorithms.

UFO is a general-purpose image processing framework developed at the Karlsruhe Institute of Technology and uses OpenCL to execute processing tasks on multiple accelerator devices such as NVIDIA and AMD GPUs, AMD and Intel CPUs as well as Intel Xeon Phi cards.

The ufo-core and ufo-filters packages must be installed separately from TomoPy. Make sure to install the Python NumPy interfaces in the python subdirectory of ufo-core.

For example, to reconstruct using UFO’s filtered back-projection algorithm by setting the algorithm to ufo_fbp. Note, that we must set ncore to 1 in order to let UFO do the multi-threading. If left to the default value or set to a value other than 1 will crash the reconstruction.

recon = tomopy.recon(proj, theta, center=rot_center, algorithm=ufo_fbp, ncore=1)
recon = tomopy.circ_mask(recon, axis=0, ratio=0.95)
plt.imshow(recon[0, :, :], cmap='Greys_r')
plt.show()