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authorWillem Jan Palenstijn <Willem.Jan.Palenstijn@cwi.nl>2015-09-16 12:01:02 +0200
committerWillem Jan Palenstijn <Willem.Jan.Palenstijn@cwi.nl>2015-09-16 12:01:02 +0200
commit55cbaa5df6f91594b7cd69754e04c186c7c88c97 (patch)
treeb1456253660a7762df6868d1452a6d9480e25b19 /samples/matlab
parent7584ffbd6748bcca8c3f7ed2dc961be01f2fcfdc (diff)
parent026aa46c5db24ddd687cec0fa6e056a2ee3790c5 (diff)
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Merge branch 'master' into volgeom3d
Conflicts: src/CudaBackProjectionAlgorithm3D.cpp
Diffstat (limited to 'samples/matlab')
-rw-r--r--samples/matlab/s010_supersampling.m28
-rw-r--r--samples/matlab/s017_opTomo.m62
2 files changed, 72 insertions, 18 deletions
diff --git a/samples/matlab/s010_supersampling.m b/samples/matlab/s010_supersampling.m
index 80f6f56..148f6ad 100644
--- a/samples/matlab/s010_supersampling.m
+++ b/samples/matlab/s010_supersampling.m
@@ -12,23 +12,15 @@ vol_geom = astra_create_vol_geom(256, 256);
proj_geom = astra_create_proj_geom('parallel', 3.0, 128, linspace2(0,pi,180));
P = phantom(256);
-% Because the astra_create_sino_gpu wrapper does not have support for
-% all possible algorithm options, we manually create a sinogram
-phantom_id = astra_mex_data2d('create', '-vol', vol_geom, P);
-sinogram_id = astra_mex_data2d('create', '-sino', proj_geom);
-cfg = astra_struct('FP_CUDA');
-cfg.VolumeDataId = phantom_id;
-cfg.ProjectionDataId = sinogram_id;
+% We create a projector set up to use 3 rays per detector element
+cfg_proj = astra_struct('cuda');
+cfg_proj.option.DetectorSuperSampling = 3;
+cfg_proj.ProjectionGeometry = proj_geom;
+cfg_proj.VolumeGeometry = vol_geom;
+proj_id = astra_mex_projector('create', cfg_proj);
-% Set up 3 rays per detector element
-cfg.option.DetectorSuperSampling = 3;
-alg_id = astra_mex_algorithm('create', cfg);
-astra_mex_algorithm('run', alg_id);
-astra_mex_algorithm('delete', alg_id);
-astra_mex_data2d('delete', phantom_id);
-
-sinogram3 = astra_mex_data2d('get', sinogram_id);
+[sinogram3 sinogram_id] = astra_create_sino(P, proj_id);
figure(1); imshow(P, []);
figure(2); imshow(sinogram3, []);
@@ -39,14 +31,14 @@ rec_id = astra_mex_data2d('create', '-vol', vol_geom);
cfg = astra_struct('SIRT_CUDA');
cfg.ReconstructionDataId = rec_id;
cfg.ProjectionDataId = sinogram_id;
-% Set up 3 rays per detector element
-cfg.option.DetectorSuperSampling = 3;
+cfg.ProjectorId = proj_id;
+
% There is also an option for supersampling during the backprojection step.
% This should be used if your detector pixels are smaller than the voxels.
% Set up 2 rays per image pixel dimension, for 4 rays total per image pixel.
-% cfg.option.PixelSuperSampling = 2;
+% cfg_proj.option.PixelSuperSampling = 2;
alg_id = astra_mex_algorithm('create', cfg);
diff --git a/samples/matlab/s017_opTomo.m b/samples/matlab/s017_opTomo.m
new file mode 100644
index 0000000..891a93d
--- /dev/null
+++ b/samples/matlab/s017_opTomo.m
@@ -0,0 +1,62 @@
+% -----------------------------------------------------------------------
+% 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
+% -----------------------------------------------------------------------
+
+% This sample illustrates the use of opTomo.
+%
+% opTomo is a wrapper around the FP and BP operations of the ASTRA Toolbox,
+% to allow you to use them as you would a matrix.
+%
+% This class requires the Spot Linear-Operator Toolbox to be installed.
+% You can download this at http://www.cs.ubc.ca/labs/scl/spot/
+
+% load a phantom image
+im = phantom(256);
+% and flatten it to a vector
+x = im(:);
+
+%% Setting up the geometry
+% projection geometry
+proj_geom = astra_create_proj_geom('parallel', 1, 256, linspace2(0,pi,180));
+% object dimensions
+vol_geom = astra_create_vol_geom(256,256);
+
+%% Generate projection data
+% Create the Spot operator for ASTRA using the GPU.
+W = opTomo('cuda', proj_geom, vol_geom);
+
+p = W*x;
+
+% reshape the vector into a sinogram
+sinogram = reshape(p, W.proj_size);
+imshow(sinogram, []);
+
+
+%% Reconstruction
+% We use a least squares solver lsqr from Matlab to solve the
+% equation W*x = p.
+% Max number of iterations is 100, convergence tolerance of 1e-6.
+y = lsqr(W, p, 1e-6, 100);
+
+% the output is a vector, so we reshape it into an image
+reconstruction = reshape(y, W.vol_size);
+
+subplot(1,3,1);
+imshow(reconstruction, []);
+title('Reconstruction');
+
+subplot(1,3,2);
+imshow(im, []);
+title('Ground truth');
+
+% The transpose of the operator corresponds to the backprojection.
+backProjection = W'*p;
+subplot(1,3,3);
+imshow(reshape(backProjection, W.vol_size), []);
+title('Backprojection');