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2026-09-17 23:59:11 +09:00 · 2026-08-07 15:56:42 +09:00
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+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+% example script for ASTRA wrappers 
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+%
+% recompile commands
+%  (Linux, GCC 4.8.5)   mexcuda -outdir private  ASTRA_GPU_wrapper/ASTRA_GPU_wrapper.cu ASTRA_GPU_wrapper/util3d.cu ASTRA_GPU_wrapper/par3d_fp.cu ASTRA_GPU_wrapper/par3d_bp.cu
+%  (Windows)  mexcuda -outdir private  ASTRA_GPU_wrapper\ASTRA_GPU_wrapper.cu ASTRA_GPU_wrapper\util3d.cu ASTRA_GPU_wrapper\par3d_fp.cu ASTRA_GPU_wrapper\par3d_bp.cu
+
+
+% volume settings 
+Npix_vol = [300, 300, 100] ;
+Nangles = 400; 
+Npix_proj = [400, 400]; 
+
+% create "data"
+angles = linspace(0, 360, Nangles); 
+lamino_angle = 60; 
+volData = ones(Npix_vol, 'single'); 
+
+% generate geometry 
+[cfg, vectors]  = astra.ASTRA_initialize(Npix_vol, Npix_proj, angles, lamino_angle); 
+% find optimal split, for small volumes below 600^3 no split is needed 
+split  = astra.ASTRA_find_optimal_split(cfg); 
+
+% generate projections 
+projData  = astra.Ax_partial(volData, cfg, vectors, split); 
+
+figure(1)
+% plot the projections 
+subplot(1,2,1)
+plotting.imagesc3D(projData); axis off image; colormap bone
+title('Angular geometry')
+
+% do backprojection projections !!! not FBP !!!
+backprojData  = astra.Atx_partial(projData, cfg, vectors, split); 
+
+
+% generate rotation matrix, note that the expected angles needs to be
+% adjusted to provide same results are the previous example 
+R3 = utils.get_rotation_matrix_3D((90-lamino_angle)*ones(Nangles,1), -angles, zeros(Nangles,1)); 
+
+% generate geometry 
+[cfgR, vectorsR]  = astra.ASTRA_initialize(Npix_vol, Npix_proj, R3); 
+
+% generate projections 
+projDataR  = astra.Ax_partial(volData, cfgR, vectorsR, split); 
+
+figure(1)
+% plot the projections 
+subplot(1,2,2)
+% plot the projections 
+plotting.imagesc3D(projDataR); axis off image; colormap bone
+title('Rotation matrix geometry')
+
+
+
+
+%*-----------------------------------------------------------------------*
+%|                                                                       |
+%|  Except where otherwise noted, this work is licensed under a          |
+%|  Creative Commons Attribution-NonCommercial-ShareAlike 4.0            |
+%|  International (CC BY-NC-SA 4.0) license.                             |
+%|                                                                       |
+%|  Copyright (c) 2017 by Paul Scherrer Institute (http://www.psi.ch)    |
+%|                                                                       |
+%|       Author: CXS group, PSI                                          |
+%*-----------------------------------------------------------------------*
+% You may use this code with the following provisions:
+%
+% If the code is fully or partially redistributed, or rewritten in another
+%   computing language this notice should be included in the redistribution.
+%
+% If this code, or subfunctions or parts of it, is used for research in a 
+%   publication or if it is fully or partially rewritten for another 
+%   computing language the authors and institution should be acknowledged 
+%   in written form in the publication: “Data processing was carried out 
+%   using the “cSAXS matlab package” developed by the CXS group,
+%   Paul Scherrer Institut, Switzerland.” 
+%   Variations on the latter text can be incorporated upon discussion with 
+%   the CXS group if needed to more specifically reflect the use of the package 
+%   for the published work.
+%
+% A publication that focuses on describing features, or parameters, that
+%    are already existing in the code should be first discussed with the
+%    authors.
+%   
+% This code and subroutines are part of a continuous development, they 
+%    are provided “as they are” without guarantees or liability on part
+%    of PSI or the authors. It is the user responsibility to ensure its 
+%    proper use and the correctness of the results.