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authorDaniel M. Pelt <D.M.Pelt@cwi.nl>2015-02-24 12:35:45 +0100
committerDaniel M. Pelt <D.M.Pelt@cwi.nl>2015-02-24 12:35:45 +0100
commit3cae1d138c53a3fd042de3d2c9d9a07cf0650e0f (patch)
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Added Python interface
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-% -----------------------------------------------------------------------
-% This file is part of the ASTRA Toolbox
-%
-% Copyright: 2010-2015, iMinds-Vision Lab, University of Antwerp
-% 2014-2015, CWI, Amsterdam
-% License: Open Source under GPLv3
-% Contact: astra@uantwerpen.be
-% Website: http://sf.net/projects/astra-toolbox
-% -----------------------------------------------------------------------
-
-vol_geom = astra_create_vol_geom(128, 128, 128);
-
-angles = linspace2(0, pi, 180);
-proj_geom = astra_create_proj_geom('parallel3d', 1.0, 1.0, 128, 192, angles);
-
-% Create a simple hollow cube phantom
-cube = zeros(128,128,128);
-cube(17:112,17:112,17:112) = 1;
-cube(33:96,33:96,33:96) = 0;
-
-% Create projection data from this
-[proj_id, proj_data] = astra_create_sino3d_cuda(cube, proj_geom, vol_geom);
-
-% Display a single projection image
-figure, imshow(squeeze(proj_data(:,20,:))',[])
-
-% Create a data object for the reconstruction
-rec_id = astra_mex_data3d('create', '-vol', vol_geom);
-
-% Set up the parameters for a reconstruction algorithm using the GPU
-cfg = astra_struct('SIRT3D_CUDA');
-cfg.ReconstructionDataId = rec_id;
-cfg.ProjectionDataId = proj_id;
-
-
-% Create the algorithm object from the configuration structure
-alg_id = astra_mex_algorithm('create', cfg);
-
-% Run 150 iterations of the algorithm
-% Note that this requires about 750MB of GPU memory, and has a runtime
-% in the order of 10 seconds.
-astra_mex_algorithm('iterate', alg_id, 150);
-
-% Get the result
-rec = astra_mex_data3d('get', rec_id);
-figure, imshow(squeeze(rec(:,:,65)),[]);
-
-
-% Clean up. Note that GPU memory is tied up in the algorithm object,
-% and main RAM in the data objects.
-astra_mex_algorithm('delete', alg_id);
-astra_mex_data3d('delete', rec_id);
-astra_mex_data3d('delete', proj_id);