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|
%--------------------------------------------------------------------------
% This file is part of the ASTRA Toolbox
%
% Copyright: 2010-2021, imec Vision Lab, University of Antwerp
% 2014-2021, CWI, Amsterdam
% License: Open Source under GPLv3
% Contact: astra@astra-toolbox.com
% Website: http://www.astra-toolbox.com/
%--------------------------------------------------------------------------
classdef IterativeTomography < matlab.mixin.Copyable
% Algorithm class for 2D Iterative Tomography.
%----------------------------------------------------------------------
properties (SetAccess=public, GetAccess=public)
superresolution = 1; % SETTING: Volume upsampling factor.
proj_type = 'linear'; % SETTING: Projector type, only when gpu='no'.
method = 'SIRT_CUDA'; % SETTING: Iterative method (see ASTRA toolbox documentation).
gpu = 'yes'; % SETTING: Use gpu? {'yes', 'no'}
gpu_core = 0; % SETTING: Which gpu core to use? Only when gpu='yes'.
inner_circle = 'yes'; % SETTING: Do roi only? {'yes', 'no'}
image_size = []; % SETTING: Overwrite default reconstruction size. Only if no vol_geom is specified.
use_minc = 'no'; % SETTING: Use minimum constraint. {'no', 'yes'}
end
%----------------------------------------------------------------------
properties (SetAccess=public, GetAccess=public)
proj_geom = []; % DATA: Projection geometry.
vol_geom = []; % DATA: Volume geometry.
end
%----------------------------------------------------------------------
properties (SetAccess=private, GetAccess=public)
initialized = 0; % Is this object initialized?
end
%----------------------------------------------------------------------
properties (SetAccess=protected, GetAccess=protected)
cfg_base = struct(); % PROTECTED: base configuration structure for the reconstruction algorithm.
proj_geom_sr = []; % PROTECTED: geometry of sinogram (with super-resolution)
proj_id = []; % PROTECTED: astra id of projector (when gpu='no')
proj_id_sr = []; % PROTECTED: astra id of super-resolution projector (when gpu='no')
end
%----------------------------------------------------------------------
methods (Access=public)
%------------------------------------------------------------------
function this = IterativeTomography(varargin)
% Constructor
% >> tomography = IterativeTomography(proj_geom);
% >> tomography = IterativeTomography(proj_geom, vol_geom);
% Input: IterativeTomography(proj_geom)
if nargin == 1
this.proj_geom = varargin{1};
% Input: IterativeTomography(proj_geom, vol_geom)
elseif nargin == 2
this.proj_geom = varargin{1};
this.vol_geom = varargin{2};
end
end
%------------------------------------------------------------------
function delete(this)
% Destructor
% >> clear tomography;
if strcmp(this.gpu,'no') && numel(this.proj_id) > 0
astra_mex_projector('delete', this.proj_id, this.proj_id_sr);
end
end
%------------------------------------------------------------------
function settings = getsettings(this)
% Returns a structure containing all settings of this object.
% >> settings = tomography.getsettings();
settings.superresolution = this.superresolution;
settings.proj_type = this.proj_type;
settings.method = this.method;
settings.gpu = this.gpu;
settings.gpu_core = this.gpu_core;
settings.inner_circle = this.inner_circle;
settings.image_size = this.image_size;
settings.use_minc = this.use_minc;
end
%------------------------------------------------------------------
function ok = initialize(this)
% Initialize this object. Returns 1 if succesful.
% >> tomography.initialize();
disp('sdfqnlmkqdsfmlkjdfqsjklm');
% create projection geometry with super-resolution
if this.superresolution > 1
this.proj_geom_sr = astra_geom_superresolution(this.proj_geom, this.superresolution);
else
this.proj_geom_sr = this.proj_geom;
end
% if no volume geometry is specified by the user: create volume geometry
if numel(this.vol_geom) == 0
if numel(this.image_size) < 2
this.image_size(1) = this.proj_geom.DetectorCount;
this.image_size(2) = this.proj_geom.DetectorCount;
end
this.vol_geom = astra_create_vol_geom(this.image_size(1) * this.superresolution, this.image_size(2) * this.superresolution, ...
-this.image_size(1)/2, this.image_size(1)/2, -this.image_size(2)/2, this.image_size(2)/2);
else
this.image_size(1) = this.vol_geom.GridRowCount;
this.image_size(2) = this.vol_geom.GridColCount;
end
% create projector
if strcmp(this.gpu,'no')
this.proj_id = astra_create_projector(this.proj_type, this.proj_geom, this.vol_geom);
this.proj_id_sr = astra_create_projector(this.proj_type, this.proj_geom_sr, this.vol_geom);
end
% create reconstruction configuration
this.cfg_base = astra_struct(upper(this.method));
if strcmp(this.gpu,'no')
this.cfg_base.ProjectorId = this.proj_id;
this.cfg_base.ProjectionGeometry = this.proj_geom;
this.cfg_base.ReconstructionGeometry = this.vol_geom;
end
this.cfg_base.option.DetectorSuperSampling = this.superresolution;
if strcmp(this.gpu,'yes')
this.cfg_base.option.GPUindex = this.gpu_core;
end
if this.use_minc
this.cfg_base.option.MinConstraint = 0;
end
this.initialized = 1;
ok = this.initialized;
end
%------------------------------------------------------------------
function projections = project(this, volume)
% Compute forward projection.
% >> projections = tomography.project(volume);
if ~this.initialized
this.initialize();
end
% project
projections = this.project_c(volume);
end
%------------------------------------------------------------------
function reconstruction = reconstruct(this, varargin)
% Compute reconstruction.
% Uses tomography.sinogram
% Initial solution (if available) should be stored in tomography.V
% >> reconstruction = tomography.reconstruct(projections, iterations);
% >> reconstruction = tomography.reconstruct(projections, volume0, iterations);
if ~this.initialized
this.initialize();
end
if numel(varargin) == 2
reconstruction = this.reconstruct_c(varargin{1}, [], [], varargin{2});
elseif numel(varargin) == 3
reconstruction = this.reconstruct_c(varargin{1}, varargin{2}, [], varargin{3});
else
error('invalid parameter list')
end
if strcmp(this.inner_circle,'yes')
reconstruction = this.selectROI(reconstruction);
end
end
%------------------------------------------------------------------
function reconstruction = reconstruct_mask(this, varargin)
% Compute reconstruction with mask.
% Uses tomography.sinogram
% Initial solution (if available) should be stored in tomography.V
% >> reconstruction = tomography.reconstructMask(projections, mask, iterations);
% >> reconstruction = tomography.reconstructMask(projections, volume0, mask, iterations);
if ~this.initialized
this.initialize();
end
if numel(varargin) == 3
reconstruction = this.reconstruct_c(varargin{1}, [], varargin{2}, varargin{3});
elseif numel(varargin) == 4
reconstruction = this.reconstruct_c(varargin{1}, varargin{2}, varargin{3}, varargin{4});
else
error('invalid parameter list')
end
if strcmp(this.inner_circle,'yes')
reconstruction = this.selectROI(reconstruction);
end
end
%------------------------------------------------------------------
end
%----------------------------------------------------------------------
methods (Access = protected)
%------------------------------------------------------------------
% Protected function: create FP
function sinogram = project_c(this, volume)
if this.initialized == 0
error('IterativeTomography not initialized');
end
% data is stored in astra memory
if numel(volume) == 1
if strcmp(this.gpu, 'yes')
sinogram_tmp = astra_create_sino_cuda(volume, this.proj_geom_sr, this.vol_geom, this.gpu_core);
else
sinogram_tmp = astra_create_sino(volume, this.proj_id);
end
% sinogram downsampling
if this.superresolution > 1
sinogram_data = astra_mex_data2d('get', sinogram_tmp);
astra_mex_data2d('delete', sinogram_tmp);
sinogram_data = downsample_sinogram(sinogram_data, this.superresolution);
sinogram = astra_mex_data2d('create','sino', this.proj_geom, sinogram_data);
else
sinogram = sinogram_tmp;
end
% data is stored in matlab memory
else
% 2D and 3D slice by slice
sinogram_tmp = zeros([astra_geom_size(this.proj_geom_sr), size(volume,3)]);
sinogram_tmp2 = zeros([astra_geom_size(this.proj_geom), size(volume,3)]);
for slice = 1:size(volume,3)
if strcmp(this.gpu, 'yes')
[tmp_id, sinogram_tmp2(:,:,slice)] = astra_create_sino_sampling(volume(:,:,slice), this.proj_geom, this.vol_geom, this.gpu_core, this.superresolution);
astra_mex_data2d('delete', tmp_id);
else
[tmp_id, tmp] = astra_create_sino(volume(:,:,slice), this.proj_id_sr);
sinogram_tmp2(:,:,slice) = downsample_sinogram(tmp, this.superresolution) * (this.superresolution^2);
astra_mex_data2d('delete', tmp_id);
end
end
% sinogram downsampling
if strcmp(this.gpu, 'yes')
%sinogram = downsample_sinogram(sinogram_tmp, this.superresolution);
sinogram2 = sinogram_tmp2;
if strcmp(this.proj_geom.type,'fanflat_vec') || strcmp(this.proj_geom.type,'fanflat')
sinogram2 = sinogram2 / this.superresolution;
elseif strcmp(this.proj_geom.type,'parallel')
sinogram2 = sinogram2 / (this.superresolution * this.superresolution);
end
sinogram = sinogram2;
else
sinogram = sinogram_tmp2;
end
end
end
%------------------------------------------------------------------
% Protected function: reconstruct
function V = reconstruct_c(this, sinogram, V0, mask, iterations)
if this.initialized == 0
error('IterativeTomography not initialized');
end
% data is stored in astra memory
if numel(sinogram) == 1
V = this.reconstruct_c_astra(sinogram, V0, mask, iterations);
% data is stored in matlab memory
else
V = this.reconstruct_c_matlab(sinogram, V0, mask, iterations);
end
end
%------------------------------------------------------------------
% Protected function: reconstruct (data in matlab)
function V = reconstruct_c_matlab(this, sinogram, V0, mask, iterations)
if this.initialized == 0
error('IterativeTomography not initialized');
end
% parse method
method2 = upper(this.method);
if strcmp(method2, 'SART') || strcmp(method2, 'SART_CUDA')
iterations = iterations * size(sinogram,1);
elseif strcmp(method2, 'ART')
iterations = iterations * numel(sinogram);
end
% create data objects
V = zeros(this.vol_geom.GridRowCount, this.vol_geom.GridColCount, size(sinogram,3));
reconstruction_id = astra_mex_data2d('create', '-vol', this.vol_geom);
sinogram_id = astra_mex_data2d('create', '-sino', this.proj_geom);
if numel(mask) > 0
mask_id = astra_mex_data2d('create', '-vol', this.vol_geom);
end
% algorithm configuration
cfg = this.cfg_base;
cfg.ProjectionDataId = sinogram_id;
cfg.ReconstructionDataId = reconstruction_id;
if numel(mask) > 0
cfg.option.ReconstructionMaskId = mask_id;
end
alg_id = astra_mex_algorithm('create', cfg);
% loop slices
for slice = 1:size(sinogram,3)
% fetch slice of initial reconstruction
if numel(V0) > 0
astra_mex_data2d('store', reconstruction_id, V0(:,:,slice));
else
astra_mex_data2d('store', reconstruction_id, 0);
end
% fetch slice of sinogram
astra_mex_data2d('store', sinogram_id, sinogram(:,:,slice));
% fecth slice of mask
if numel(mask) > 0
astra_mex_data2d('store', mask_id, mask(:,:,slice));
end
% iterate
astra_mex_algorithm('iterate', alg_id, iterations);
% fetch data
V(:,:,slice) = astra_mex_data2d('get', reconstruction_id);
end
% correct attenuation factors for super-resolution
if this.superresolution > 1 && strcmp(this.gpu,'yes')
if strcmp(this.proj_geom.type,'fanflat_vec') || strcmp(this.proj_geom.type,'fanflat')
if numel(mask) > 0
V(mask > 0) = V(mask > 0) ./ this.superresolution;
else
V = V ./ this.superresolution;
end
end
end
% garbage collection
astra_mex_algorithm('delete', alg_id);
astra_mex_data2d('delete', sinogram_id, reconstruction_id);
if numel(mask) > 0
astra_mex_data2d('delete', mask_id);
end
end
%------------------------------------------------------------------
% Protected function: reconstruct (data in astra)
function V = reconstruct_c_astra(this, sinogram, V0, mask, iterations)
if this.initialized == 0
error('IterativeTomography not initialized');
end
if numel(V0) > 1 || numel(mask) > 1 || numel(sinogram) > 1
error('Not all required data is stored in the astra memory');
end
if numel(V0) == 0
V0 = astra_mex_data2d('create', '-vol', this.vol_geom, 0);
end
% parse method
method2 = upper(this.method);
if strcmp(method2, 'SART') || strcmp(method2, 'SART_CUDA')
iterations = iterations * astra_geom_size(this.proj_geom, 1)
this.cfg_base.option.ProjectionOrder = 'random';
elseif strcmp(method2, 'ART')
s = astra_geom_size(this.proj_geom);
iterations = iterations * s(1) * s(2);
end
% algorithm configuration
cfg = this.cfg_base;
cfg.ProjectionDataId = sinogram;
cfg.ReconstructionDataId = V0;
if numel(mask) > 0
cfg.option.ReconstructionMaskId = mask;
end
alg_id = astra_mex_algorithm('create', cfg);
% iterate
astra_mex_algorithm('iterate', alg_id, iterations);
% fetch data
V = V0;
% correct attenuation factors for super-resolution
if this.superresolution > 1
if strcmp(this.proj_geom.type,'fanflat_vec') || strcmp(this.proj_geom.type,'fanflat')
if numel(mask) > 0
astra_data_op_masked('$1./s1', [V V], [this.superresolution this.superresolution], mask, this.gpu_core);
else
astra_data_op('$1./s1', [V V], [this.superresolution this.superresolution], this.gpu_core);
end
end
end
% garbage collection
astra_mex_algorithm('delete', alg_id);
end
%------------------------------------------------------------------
function V_out = selectROI(~, V_in)
if numel(V_in) == 1
cfg = astra_struct('RoiSelect_CUDA');
cfg.DataId = V_in;
alg_id = astra_mex_algorithm('create',cfg);
astra_mex_algorithm('run', alg_id);
astra_mex_algorithm('delete', alg_id);
V_out = V_in;
else
V_out = ROIselectfull(V_in, min([size(V_in,1), size(V_in,2)]));
end
end
%------------------------------------------------------------------
end
end
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