% show_reconstruction_quality - compare conventional reconstruction, % nonrigid reconstruction FBP and SART % % [rec_FBP, rec_NCT_FBP, rec_NCT_SART] = show_reconstruction_quality(sinogram, cfg, vectors, shift_3D_total, regularize_deform_evol) % % Inputs: % **sinogram current reconstruction % **vectors ASTRA configuration vectors % **cfg ASTRA configuration structure % **shift_3D_total recovered deformation vector field % **regularize_deform_evol regularization constant for the deformation field evolution calculation % % Outputs: % ++rec_FBP conventional FBP reconstruction % ++rec_NCT_FBP nonrigid FBP reconstruction % ++rec_NCT_SART nonrigid SART reconstruction % %*-----------------------------------------------------------------------* %|                                                                       | %|  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) 2018 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. function [rec_FBP, rec_NCT_FBP, rec_NCT_SART] = show_reconstruction_quality(sinogram, cfg, vectors, shift_3D_total, regularize_deform_evol) Nangles = cfg.iProjAngles; reset(gpuDevice) Nblocks = length(shift_3D_total); split = astra.ASTRA_find_optimal_split(cfg); Bsize = ceil(Nangles/Nblocks); if any(split(1:3)) > 1 warning('Sample volume seems too large, try to reduce the reconstructed volume size') split(1:3) = 1; % at least try to make it work without splitting, otherwise recontruction will be poor end rec_FBP = gather(tomo.FBP(sinogram, cfg, vectors)) ; % generate deformation tensors from the shift tensors [deform_tensors, inv_deform_tensors] = nonrigid.get_deformation_fields(shift_3D_total, regularize_deform_evol, size(rec_FBP)); %% FBP rec_NCT_FBP = nonrigid.FBP_deform(sinogram, cfg, vectors,Bsize, inv_deform_tensors); [SART_cache, cfg_SART] = tomo.SART_prepare(cfg, vectors, Bsize, split); SART_cache.R = min(1,SART_cache.R); %% SART - solve it using all constraints [~,rec_mask] = utils.apply_3D_apodization(rec_NCT_FBP,0); rec_NCT_SART = rec_NCT_FBP; Niter_SART = 10; clear err_sart disp('====== SART ==========') for kk = 1:Niter_SART utils.progressbar(kk, Niter_SART) [rec_NCT_SART,err_sart(kk,:)] = tomo.SART(rec_NCT_SART, sinogram, cfg_SART, vectors, SART_cache, split, ... 'relax',0, 'deformation_fields', deform_tensors,'inv_deformation_fields', inv_deform_tensors, ... 'constraint', @(x)(max(0,x.*rec_mask)), 'verbose',0); % figure(1343) % subplot(1,2,1) % plot(err_sart) % hold all % plot(mean(err_sart'),'k', 'LineWidth',2) % hold off % set(gca, 'xscale', 'log') % set(gca, 'yscale', 'log') % grid on % axis tight % title('SART error evolution') % subplot(1,2,2) % plotting.imagesc3D(rec_NCT_SART, 'init_frame', floor(size(rec_NCT_SART,3)/2)) % axis image % colormap bone % axis off image % drawnow end % remove edges rec_FBP = utils.apply_3D_apodization(rec_FBP, 0); rec_NCT_FBP = utils.apply_3D_apodization(rec_NCT_FBP,0); figure(10) if exist('orig_phantom', 'var') && ~isempty(orig_phantom) orig_phantom = utils.crop_pad(orig_phantom, [cfg.iVolX,cfg.iVolY]); orig_phantom = orig_phantom ./ mean(orig_phantom(:)) * mean(rec_FBP(:))*0.9; rec_all = gather(cat(2, orig_phantom,rec_FBP, rec_NCT_FBP, rec_NCT_SART)); else rec_all = gather(cat(2, rec_FBP, rec_NCT_FBP, rec_NCT_SART)); end range = quantile(rec_all(:), [1e-2, 1-1e-2]); plotting.imagesc3D(rec_all, 'init_frame', size(rec_all,3)/2) caxis(range); axis off image; colormap bone title('Original reconstruction / Deform FBP / Deform SART') end