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%--------------------------------------------------------------------------
% This file is part of the ASTRA Toolbox
%
% Copyright: 2010-2022, imec Vision Lab, University of Antwerp
% 2014-2022, CWI, Amsterdam
% License: Open Source under GPLv3
% Contact: astra@astra-toolbox.com
% Website: http://www.astra-toolbox.com/
%--------------------------------------------------------------------------
addpath('../');
%% Example 1: 2D parallel beam, cuda
% configuration
proj_count = 20;
dart_iterations = 20;
filename = 'cylinders.png';
outdir = './';
prefix = 'example1';
rho = [0, 255];
tau = 128;
gpu_core = 0;
% load phantom
I = imreadgs(filename);
% create projection and volume geometries
det_count = size(I, 1);
angles = linspace2(0, pi, proj_count);
proj_geom = astra_create_proj_geom('parallel', 1, det_count, angles);
vol_geom = astra_create_vol_geom(det_count, det_count);
% create sinogram
[sinogram_id, sinogram] = astra_create_sino_cuda(I, proj_geom, vol_geom);
astra_mex_data2d('delete', sinogram_id);
% DART
D = DARTalgorithm(sinogram, proj_geom);
D.t0 = 100;
D.t = 10;
D.tomography.method = 'SIRT';
D.tomography.gpu_core = gpu_core;
D.tomography.use_minc = 'yes';
D.tomography.gpu = 'no';
D.segmentation = SegmentationPDM();
D.segmentation.rho = rho*1.8;
D.segmentation.tau = tau*1.5;
D.segmentation.interval = 5;
D.smoothing.b = 0.1;
D.smoothing.gpu_core = gpu_core;
D.smoothing.gpu = 'no';
D.masking.random = 0.1;
D.masking.gpu_core = gpu_core;
D.masking.gpu = 'no';
D.output.directory = outdir;
D.output.pre = [prefix '_'];
D.output.save_images = 'no';
D.output.save_results = {'stats', 'settings', 'S', 'V'};
D.output.save_interval = dart_iterations;
D.output.verbose = 'yes';
D.statistics.proj_diff = 'no';
D.initialize();
D.iterate(dart_iterations);
% save the reconstruction and the segmentation to file
imwritesc(D.S, [outdir '/' prefix '_S.png']);
imwritesc(D.V, [outdir '/' prefix '_V.png']);
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