Wet Circles
These phantom use XDesign version 0.2.0.dev0+1d67599 are generated as follows:
ccd_x = 256
ccd_y = 1
n_proj = 512
phantom_00007 = xdesign.WetCircles()
The ground truth, sinogram and projection are obtained with:
ground_truth = discrete_phantom(phantom, ccd_x, prop='mass_atten')
sino, probe = sinogram(n_proj, ccd_x, phantom)
proj = np.expand_dims(sino, 1)
To load the phantom data sets and perform a basic reconstruction using tomopy you may run the phantom Jupyter notebook example on your local machine or run the equivalent Python scripts from here.
Phantom ID |
Facility |
Sample |
Ground Truth |
Grirec |
Downloads |
XDesign |
Wet Circles |
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