Standard

These phantom use XDesign version 0.2.0.dev0+1d67599 are generated as follows:

ccd_x = 256
ccd_y = 1
n_proj = 512

phantom_00001 = xdesign.SlantedSquares(count=16, angle=5/360*2*np.pi, gap=0.01)
phantom_00002 = xdesign.UnitCircle(radius=0.4, mass_atten=1)
phantom_00003 = xdesign.HyperbolicConcentric()
phantom_00004 = xdesign.DynamicRange(steps=16, jitter=True, shape='square')
phantom_00005 = xdesign.DogaCircles(n_sizes=8, size_ratio=0.5, n_shuffles=0)
phantom_00006 = xdesign.SiemensStar(32)

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
phan_00001	XDesign	Slanted Squares			gen_script.py
phan_00002	XDesign	Unit Circle			gen_script.py
phan_00003	XDesign	Hyperbolic Concentric			gen_script.py
phan_00004	XDesign	Dynamic Range			gen_script.py
phan_00005	XDesign	Doga’s Circles			gen_script.py
phan_00006	XDesign	Siemens Star			gen_script.py