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author | Pasca <edoardo.pasca@stfc.ac.uk> | 2017-03-29 16:46:28 +0100 |
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committer | Pasca <edoardo.pasca@stfc.ac.uk> | 2017-03-29 16:46:28 +0100 |
commit | b325933591cd1d0d534a90ad5a417c2d03a0c6f3 (patch) | |
tree | 716a1c5eab60dfe0622b7f98e6e3b8056cdcae51 /demo/DemoRD2.m | |
download | regularization-b325933591cd1d0d534a90ad5a417c2d03a0c6f3.tar.gz regularization-b325933591cd1d0d534a90ad5a417c2d03a0c6f3.tar.bz2 regularization-b325933591cd1d0d534a90ad5a417c2d03a0c6f3.tar.xz regularization-b325933591cd1d0d534a90ad5a417c2d03a0c6f3.zip |
Initial revision
Diffstat (limited to 'demo/DemoRD2.m')
-rw-r--r-- | demo/DemoRD2.m | 130 |
1 files changed, 130 insertions, 0 deletions
diff --git a/demo/DemoRD2.m b/demo/DemoRD2.m new file mode 100644 index 0000000..a8ac2ca --- /dev/null +++ b/demo/DemoRD2.m @@ -0,0 +1,130 @@ +% Demonstration of tomographic 3D reconstruction from X-ray synchrotron +% dataset (dendrites) using various data fidelities +% clear all +% close all +% +% % adding paths + addpath('data/'); + addpath('main_func/'); + addpath('supp/'); + +load('sino3D_dendrites.mat') % load 3D normalized sinogram +angles_rad = angles*(pi/180); % conversion to radians + +angSize = size(Sino3D,1); % angles dim +size_det = size(Sino3D, 2); % detector size +recon_size = 850; % reconstruction size + +FBP = iradon(Sino3D(:,:,10)', angles,recon_size); +figure; imshow(FBP , [0, 3]); title ('FBP reconstruction'); + +%% +fprintf('%s\n', 'Reconstruction using FISTA-LS without regularization...'); +clear params +params.sino = Sino3D; +params.N = recon_size; +params.angles = angles_rad; +params.iterFISTA = 80; +params.precondition = 1; % switch on preconditioning +params.show = 0; +params.maxvalplot = 2.5; params.slice = 10; + +tic; [X_fista] = FISTA_REC(params); toc; +figure; imshow(X_fista(:,:,10) , [0, 2.5]); title ('FISTA-LS reconstruction'); +%% +fprintf('%s\n', 'Reconstruction using FISTA-LS-TV...'); +clear params +params.sino = Sino3D; +params.N = recon_size; +params.angles = angles_rad; +params.iterFISTA = 100; +params.lambdaTV = 0.001; % TV regularization parameter for FISTA-TV +params.tol = 1.0e-04; +params.iterTV = 20; +params.precondition = 1; % switch on preconditioning +params.show = 0; +params.maxvalplot = 2.5; params.slice = 10; + +tic; [X_fista_TV] = FISTA_REC(params); toc; +figure; imshow(X_fista_TV(:,:,10) , [0, 2.5]); title ('FISTA-LS-TV reconstruction'); +%% +%% +fprintf('%s\n', 'Reconstruction using FISTA-GH-TV...'); +clear params +params.sino = Sino3D; +params.N = recon_size; +params.angles = angles_rad; +params.iterFISTA = 100; +params.lambdaTV = 0.001; % TV regularization parameter for FISTA-TV +params.tol = 1.0e-04; +params.iterTV = 20; +params.lambdaR_L1 = 0.001; % Soft-Thresh L1 ring variable parameter +params.alpha_ring = 20; % to boost ring removal procedure +params.precondition = 1; % switch on preconditioning +params.show = 0; +params.maxvalplot = 2.5; params.slice = 10; + +tic; [X_fista_GH_TV] = FISTA_REC(params); toc; +figure; imshow(X_fista_GH_TV(:,:,10) , [0, 2.5]); title ('FISTA-GH-TV reconstruction'); +%% +%% +fprintf('%s\n', 'Reconstruction using FISTA-GH-TV-LLT...'); +clear params +params.sino = Sino3D; +params.N = recon_size; +params.angles = angles_rad; +params.iterFISTA = 100; +params.lambdaTV = 0.001; % TV regularization parameter for FISTA-TV +params.tol = 1.0e-04; +params.iterTV = 20; +params.lambdaHO = 35; % regularization parameter for LLT problem +params.tauHO = 0.00011; % time-step parameter for explicit scheme +params.iterHO = 70; % the max number of TV iterations +params.lambdaR_L1 = 0.001; % Soft-Thresh L1 ring variable parameter +params.alpha_ring = 20; % to boost ring removal procedure +params.precondition = 1; % switch on preconditioning +params.show = 0; +params.maxvalplot = 2.5; params.slice = 10; + +tic; [X_fista_GH_TVLLT] = FISTA_REC(params); toc; +figure; imshow(X_fista_GH_TVLLT(:,:,10) , [0, 2.5]); title ('FISTA-GH-TV-LLT reconstruction'); +%% +%% +% fprintf('%s\n', 'Reconstruction using FISTA-Student-TV...'); +% %%%%<<<< Not stable with this dataset! Requires more work >>>> %%%%% +% clear params +% params.sino = Sino3D(:,:,15); +% params.N = 950; +% params.angles = angles_rad; +% params.iterFISTA = 150; +% params.L_const = 30; % Lipshitz constant +% params.lambdaTV = 0.009; % TV regularization parameter for FISTA-TV +% params.tol = 1.0e-04; +% params.iterTV = 20; +% params.fidelity = 'student'; % choosing Student t penalty +% % params.precondition = 1; % switch on preconditioning +% params.show = 1; +% params.maxvalplot = 2.5; params.slice = 1; +% +% tic; [X_fistaStudentTV] = FISTA_REC(params); toc; +% figure; imshow(X_fistaStudentTV , [0, 2.5]); title ('FISTA-Student-TV reconstruction'); +%% +slice = 10; % if 3D reconstruction + +fprintf('%s\n', 'Segmentation using OTSU method ...'); +level = graythresh(X_fista(:,:,slice)); +Segm_FISTA = im2bw(X_fista(:,:,slice),level); +figure; imshow(Segm_FISTA, []); title ('Segmented FISTA-LS reconstruction'); + +level = graythresh(X_fista_TV(:,:,slice)); +Segm_FISTA_TV = im2bw(X_fista_TV(:,:,slice),level); +figure; imshow(Segm_FISTA_TV, []); title ('Segmented FISTA-LS-TV reconstruction'); + +level = graythresh(X_fista_GH_TV(:,:,slice)); +BW_FISTA_GH_TV = im2bw(X_fista_GH_TV(:,:,slice),level); +figure; imshow(BW_FISTA_GH_TV, []); title ('Segmented FISTA-GH-TV reconstruction'); + +level = graythresh(X_fista_GH_TVLLT(:,:,slice)); +BW_FISTA_GH_TVLLT = im2bw(X_fista_GH_TVLLT(:,:,slice),level); +figure; imshow(BW_FISTA_GH_TVLLT, []); title ('Segmented FISTA-GH-TV-LLT reconstruction'); +%%
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