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# -----------------------------------------------------------------------
# Copyright: 2010-2018, iMinds-Vision Lab, University of Antwerp
# 2013-2018, CWI, Amsterdam
#
# Contact: astra@astra-toolbox.com
# Website: http://www.astra-toolbox.com/
#
# This file is part of the ASTRA Toolbox.
#
#
# 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 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 ASTRA Toolbox. If not, see <http://www.gnu.org/licenses/>.
#
# -----------------------------------------------------------------------
import astra
import numpy as np
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))
# Create volumes
# initialized to zero
v0 = astra.data2d.create('-vol', vol_geom)
# initialized to 3.0
v1 = astra.data2d.create('-vol', vol_geom, 3.0)
# initialized to a matrix. A may be a single, double or logical (0/1) array.
import scipy.io
A = scipy.io.loadmat('phantom.mat')['phantom256']
v2 = astra.data2d.create('-vol', vol_geom, A)
# Projection data
s0 = astra.data2d.create('-sino', proj_geom)
# Initialization to a scalar or a matrix also works, exactly as with a volume.
# Update data
# set to zero
astra.data2d.store(v0, 0)
# set to a matrix
astra.data2d.store(v2, A)
# Retrieve data
R = astra.data2d.get(v2)
import pylab
pylab.gray()
pylab.imshow(R)
pylab.show()
# Free memory
astra.data2d.delete(v0)
astra.data2d.delete(v1)
astra.data2d.delete(v2)
astra.data2d.delete(s0)
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