# ----------------------------------------------------------------------- # 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 from astra.experimental import do_composite_FP astra.log.setOutputScreen(astra.log.STDERR, astra.log.DEBUG) # low res part (voxels of 4x4x4) vol_geom1 = astra.create_vol_geom(32, 16, 32, -64, 0, -64, 64, -64, 64) # high res part (voxels of 1x1x1) vol_geom2 = astra.create_vol_geom(128, 64, 128, 0, 64, -64, 64, -64, 64) # Split the output in two parts as well, for demonstration purposes angles1 = np.linspace(0, np.pi/2, 90, False) angles2 = np.linspace(np.pi/2, np.pi, 90, False) proj_geom1 = astra.create_proj_geom('parallel3d', 1.0, 1.0, 128, 192, angles1) proj_geom2 = astra.create_proj_geom('parallel3d', 1.0, 1.0, 128, 192, angles2) # Create a simple hollow cube phantom cube1 = np.zeros((32,32,16)) cube1[4:28,4:28,4:16] = 1 cube2 = np.zeros((128,128,64)) cube2[16:112,16:112,0:112] = 1 cube2[33:97,33:97,4:28] = 0 vol1 = astra.data3d.create('-vol', vol_geom1, cube1) vol2 = astra.data3d.create('-vol', vol_geom2, cube2) proj1 = astra.data3d.create('-proj3d', proj_geom1, 0) proj2 = astra.data3d.create('-proj3d', proj_geom2, 0) # The actual geometries don't matter for this composite FP/BP case projector = astra.create_projector('cuda3d', proj_geom1, vol_geom1) do_composite_FP(projector, [vol1, vol2], [proj1, proj2]) proj_data1 = astra.data3d.get(proj1) proj_data2 = astra.data3d.get(proj2) # Display a single projection image import pylab pylab.gray() pylab.figure(1) pylab.imshow(proj_data1[:,0,:]) pylab.figure(2) pylab.imshow(proj_data2[:,0,:]) pylab.show() # Clean up. Note that GPU memory is tied up in the algorithm object, # and main RAM in the data objects. astra.data3d.delete(vol1) astra.data3d.delete(vol2) astra.data3d.delete(proj1) astra.data3d.delete(proj2) astra.projector3d.delete(projector)