% ----------------------------------------------------------------------- % This file is part of the ASTRA Toolbox % % Copyright: 2010-2021, imec Vision Lab, University of Antwerp % 2014-2021, CWI, Amsterdam % License: Open Source under GPLv3 % Contact: astra@astra-toolbox.com % Website: http://www.astra-toolbox.com/ % ----------------------------------------------------------------------- vol_geom = astra_create_vol_geom(256, 256); proj_geom = astra_create_proj_geom('parallel', 1.0, 384, linspace2(0,pi,180)); % For CPU-based algorithms, a "projector" object specifies the projection % model used. In this case, we use the "strip" model. proj_id = astra_create_projector('strip', proj_geom, vol_geom); % Create a sinogram from a phantom P = phantom(256); [sinogram_id, sinogram] = astra_create_sino(P, proj_id); figure(1); imshow(P, []); figure(2); imshow(sinogram, []); astra_mex_data2d('delete', sinogram_id); % We now re-create the sinogram data object as we would do when loading % an external sinogram sinogram_id = astra_mex_data2d('create', '-sino', proj_geom, sinogram); % Create a data object for the reconstruction rec_id = astra_mex_data2d('create', '-vol', vol_geom); % Set up the parameters for a reconstruction algorithm using the CPU % The main difference with the configuration of a GPU algorithm is the % extra ProjectorId setting. cfg = astra_struct('SIRT'); cfg.ReconstructionDataId = rec_id; cfg.ProjectionDataId = sinogram_id; cfg.ProjectorId = proj_id; % Available algorithms: % ART, SART, SIRT, CGLS, FBP % Create the algorithm object from the configuration structure alg_id = astra_mex_algorithm('create', cfg); % Run 20 iterations of the algorithm % This will have a runtime in the order of 10 seconds. astra_mex_algorithm('iterate', alg_id, 20); % Get the result rec = astra_mex_data2d('get', rec_id); figure(3); imshow(rec, []); % Clean up. astra_mex_projector('delete', proj_id); astra_mex_algorithm('delete', alg_id); astra_mex_data2d('delete', rec_id); astra_mex_data2d('delete', sinogram_id);