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Diffstat (limited to 'samples')
| -rw-r--r-- | samples/python/s017_OpTomo.py | 61 |
1 files changed, 61 insertions, 0 deletions
diff --git a/samples/python/s017_OpTomo.py b/samples/python/s017_OpTomo.py new file mode 100644 index 0000000..967fa64 --- /dev/null +++ b/samples/python/s017_OpTomo.py @@ -0,0 +1,61 @@ +#----------------------------------------------------------------------- +#Copyright 2013 Centrum Wiskunde & Informatica, Amsterdam +# +#Author: Daniel M. Pelt +#Contact: D.M.Pelt@cwi.nl +#Website: http://dmpelt.github.io/pyastratoolbox/ +# +# +#This file is part of the Python interface to the +#All Scale Tomographic Reconstruction Antwerp Toolbox ("ASTRA Toolbox"). +# +#The Python interface to the ASTRA Toolbox is free software: you can redistribute it and/or modify +#it under the terms of the GNU General Public License as published by +#the Free Software Foundation, either version 3 of the License, or +#(at your option) any later version. +# +#The Python interface to the ASTRA Toolbox is distributed in the hope that it will be useful, +#but WITHOUT ANY WARRANTY; without even the implied warranty of +#MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the +#GNU General Public License for more details. +# +#You should have received a copy of the GNU General Public License +#along with the Python interface to the ASTRA Toolbox. If not, see <http://www.gnu.org/licenses/>. +# +#----------------------------------------------------------------------- + +import astra +import numpy as np +import scipy.sparse.linalg + +vol_geom = astra.create_vol_geom(256, 256) +proj_geom = astra.create_proj_geom('parallel', 1.0, 384, np.linspace(0,np.pi,180,False)) + +# As before, create a sinogram from a phantom +import scipy.io +P = scipy.io.loadmat('phantom.mat')['phantom256'] +proj_id = astra.create_projector('cuda',proj_geom,vol_geom) + +# construct the OpTomo object +W = astra.OpTomo(proj_id) + +sinogram = W * P +sinogram = sinogram.reshape([180, 384]) + +import pylab +pylab.gray() +pylab.figure(1) +pylab.imshow(P) +pylab.figure(2) +pylab.imshow(sinogram) + +# Run the lsqr linear solver +output = scipy.sparse.linalg.lsqr(W, sinogram.flatten(), iter_lim=150) +rec = output[0].reshape([256, 256]) + +pylab.figure(3) +pylab.imshow(rec) +pylab.show() + +# Clean up. +astra.projector.delete(proj_id) |