# ----------------------------------------------------------------------- # Copyright: 2010-2021, imec Vision Lab, University of Antwerp # 2013-2021, 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 . # # ----------------------------------------------------------------------- import astra import numpy as np # Create a basic 256x256 square volume geometry vol_geom = astra.create_vol_geom(256, 256) # Create a parallel beam geometry with 180 angles between 0 and pi, and # 384 detector pixels of width 1. # For more details on available geometries, see the online help of the # function astra_create_proj_geom . proj_geom = astra.create_proj_geom('parallel', 1.0, 384, np.linspace(0,np.pi,180,False)) # Load a 256x256 phantom image import scipy.io P = scipy.io.loadmat('phantom.mat')['phantom256'] # Create a sinogram using the GPU. # Note that the first time the GPU is accessed, there may be a delay # of up to 10 seconds for initialization. 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) pylab.show() # Free memory astra.data2d.delete(sinogram_id) astra.projector.delete(proj_id)