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September 13, 2019 19:58
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Rotation_Center_Astra_MWE
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# ----------------------------------------------------------------------- | |
# Copyright: 2010-2018, imec 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 | |
from tqdm import tqdm | |
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)) | |
center=28; ndet=256; const_theta = np.ones(180) | |
proj_geom['option'] = { | |
'ExtraDetectorOffset': | |
(center - ndet / 2.) * const_theta} | |
print(proj_geom) | |
# 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) | |
sinogram_id, sinogram = astra.create_sino(P, proj_id) | |
import pylab | |
pylab.gray() | |
pylab.figure(1) | |
pylab.imshow(P) | |
pylab.figure(2) | |
pylab.imshow(sinogram) | |
# Create a data object for the reconstruction | |
rec_id = astra.data2d.create('-vol', vol_geom) | |
# Set up the parameters for a reconstruction algorithm using the GPU | |
cfg = astra.astra_dict('SIRT_CUDA') | |
cfg['ReconstructionDataId'] = rec_id | |
cfg['ProjectionDataId'] = sinogram_id | |
# Available algorithms: | |
# SIRT_CUDA, SART_CUDA, EM_CUDA, FBP_CUDA (see the FBP sample) | |
# Create the algorithm object from the configuration structure | |
alg_id = astra.algorithm.create(cfg) | |
# Run 150 iterations of the algorithm | |
astra.algorithm.run(alg_id, 150) | |
# Get the result | |
rec = astra.data2d.get(rec_id) | |
pylab.figure(3) | |
pylab.imshow(rec) | |
#pylab.show() | |
# Clean up. Note that GPU memory is tied up in the algorithm object, | |
# and main RAM in the data objects. | |
astra.algorithm.delete(alg_id) | |
astra.data2d.delete(rec_id) | |
astra.data2d.delete(sinogram_id) | |
astra.projector.delete(proj_id) |
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