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classdef Gt6DVolumeToBlobProjector < Gt6DVolumeProjector
properties
offsets = {};
ss_offsets = {};
blobs_depths = [];
% Weights
forwardWeights = {};
backwardWeights = {};
blob_sinogram_c_functions = true;
end
methods (Access = public)
function self = Gt6DVolumeToBlobProjector(initialVolumes, detector_size, blobs_depths, varargin)
self = self@Gt6DVolumeProjector(initialVolumes, detector_size, varargin{:});
self.blobs_depths = blobs_depths;
self.statistics.add_task('fproj_create_sum', 'FP Create Blob time');
self.statistics.add_task('bproj_create_sum', 'BP Create Blob time');
self.statistics.add_task('fproj_permute_sum', 'FP Permute Blob time');
self.statistics.add_task('bproj_permute_sum', 'BP Permute Blob time');
self.statistics.add_task('fproj_permute_ss_single', 'SS FP Permute Blob time (single)');
self.statistics.add_task('bproj_permute_ss_single', 'SS BP Permute Blob time (single)');
self.statistics.add_task('fproj_pre_weight_sum', 'FP Pre-weight time');
self.statistics.add_task('bproj_pre_weight_sum', 'BP Pre-weight time');
self.statistics.add_task('fproj_post_weight_sum', 'FP Post-weight time');
self.statistics.add_task('bproj_post_weight_sum', 'BP Post-weight time');
end
function backwardWeights = getColumnsSum(self)
numBlobs = numel(self.blobs_depths);
blobs = cell(1, numBlobs);
for m = 1:numBlobs
blobs{m} = ones(self.proj_size(1), ...
self.blobs_depths(m), self.proj_size(2));
end
backwardWeights = self.backprojectVolume(blobs);
end
end
methods (Access = protected)
function blobs = projectVolume(self, volumes)
% We get volumes in input and we want the blobs as output, but the
% output from the base function is stacks of sinograms relative to
% the geometry of the volumes, so we need to actually decompose the
% output and recompose the slices into blobs
sinograms = self.projectVolume@Gt6DVolumeProjector(volumes);
numBlobs = numel(self.blobs_depths);
self.statistics.tic('fproj_create_sum');
if (self.blob_sinogram_c_functions)
blobs_sizes = cell(1, numBlobs);
for m = 1:numBlobs
blobs_sizes{m} = [self.proj_size(1), ...
self.blobs_depths(m), self.proj_size(2)];
end
else
blobs = cell(1, numBlobs);
for m = 1:numBlobs
blobs{m} = zeros(self.proj_size(1), ...
self.blobs_depths(m), self.proj_size(2), 'single');
end
end
self.statistics.toc('fproj_create_sum');
self.statistics.tic('fproj_permute_sum');
if (self.blob_sinogram_c_functions)
blobs = internal_cell_sinograms_to_blobs(blobs_sizes, sinograms, self.offsets);
else
try
numSinograms = numel(sinograms);
for n = 1:numSinograms
sino_offsets = self.offsets{n}.sino_offsets(:);
blob_offsets = self.offsets{n}.blob_offsets(:);
proj_offsets = self.offsets{n}.proj_offsets(:);
proj_coeffs = self.offsets{n}.proj_coeffs(:);
for m = 1:numel(proj_offsets)
p = proj_offsets(m);
b = blob_offsets(m);
c = proj_coeffs(m);
s = sino_offsets(m);
blobs{b}(:, p, :) = ...
blobs{b}(:, p, :) + c * sinograms{n}(:, s, :);
end
end
catch mexc
fprintf('\n\nError!!\n')
fprintf(' indices: b %d, p %d, n %d, s %d, m %d\n', ...
b, p, n, s, m)
fprintf(' num blobs %d, num sinos %d\n', ...
numel(blobs), numSinograms)
fprintf(' size blob (%d %d %d), size sino (%d %d %d)\n\n', ...
size(blobs{b}), size(sinograms{n}))
fprintf(' Limits over p: [%d, %d]\n', ...
min(proj_offsets), max(proj_offsets))
fprintf(' Limits over s: [%d, %d]\n\n', ...
min(sino_offsets), max(sino_offsets))
rethrow(mexc)
end
end
self.statistics.toc('fproj_permute_sum');
if (~isempty(self.ss_offsets))
blobs = self.projectVolumeSS(blobs, volumes);
end
end
function blobs = projectVolumeSS(self, blobs, volumes)
% We get volumes in input and we want the blobs as output, but the
% output from the base function is stacks of sinograms relative to
% the geometry of the volumes, so we need to actually decompose the
% output and recompose the slices into blobs
num_ss_geoms = numel(self.ss_geometries);
for n = 1:num_ss_geoms
ss_sino = self.projectSingleVolumeSS(volumes, n);
self.statistics.tic('fproj_permute_ss_single');
if (self.blob_sinogram_c_functions)
coeffs = self.ss_offsets{n};
blobs = internal_cell_single_sinogram_to_blobs(blobs, ss_sino, coeffs);
else
try
sino_offsets = self.ss_offsets{n}.sino_offsets(:);
blob_offsets = self.ss_offsets{n}.blob_offsets(:);
proj_offsets = self.ss_offsets{n}.proj_offsets(:);
proj_coeffs = self.ss_offsets{n}.proj_coeffs(:);
for m = 1:numel(proj_offsets)
p = proj_offsets(m);
b = blob_offsets(m);
c = proj_coeffs(m);
s = sino_offsets(m);
blobs{b}(:, p, :) = ...
blobs{b}(:, p, :) + c * ss_sino(:, s, :);
end
catch mexc
fprintf('\n\nError!!\n')
fprintf(' indices: b %d, p %d, n %d, s %d, m %d\n', ...
b, p, n, s, m)
fprintf(' num blobs %d, num sinos %d\n', ...
numel(blobs), numel(self.ss_offsets))
fprintf(' size blob (%d %d %d), size sino (%d %d %d)\n\n', ...
size(blobs{b}), size(ss_sino))
fprintf(' Limits over p: [%d, %d]\n', ...
min(proj_offsets), max(proj_offsets))
fprintf(' Limits over s: [%d, %d]\n\n', ...
min(sino_offsets), max(sino_offsets))
rethrow(mexc)
end
end
self.statistics.toc('fproj_permute_ss_single');
end
num_geoms = numel(self.geometries);
renorm_factor = num_geoms / (num_geoms + num_ss_geoms);
blobs = internal_cell_prod_scalar_assign(blobs, renorm_factor);
end
function volumes = backprojectVolume(self, blobs)
% Similar problem to the projection function, with the only
% difference that in this case the input is blobs and we want to
% transform them into stack of sinograms
numSinograms = numel(self.astra_geometries);
self.statistics.tic('bproj_create_sum');
if (self.blob_sinogram_c_functions)
sinograms_sizes = cell(1, numSinograms);
for n = 1:numSinograms
sinograms_sizes{n} = [self.proj_size(1), ...
size(self.geometries{n}, 1), self.proj_size(2)];
end
else
sinograms = cell(1, numSinograms);
for n = 1:numSinograms
sinograms{n} = zeros(self.proj_size(1), ...
size(self.geometries{n}, 1), self.proj_size(2), 'single');
end
end
self.statistics.toc('bproj_create_sum');
self.statistics.tic('bproj_permute_sum');
if (self.blob_sinogram_c_functions)
sinograms = internal_cell_blobs_to_sinograms(sinograms_sizes, blobs, self.offsets);
else
for n = 1:numSinograms
sino_offsets = self.offsets{n}.sino_offsets(:);
blob_offsets = self.offsets{n}.blob_offsets(:);
proj_offsets = self.offsets{n}.proj_offsets(:);
proj_coeffs = self.offsets{n}.proj_coeffs(:);
for m = 1:numel(proj_offsets)
p = proj_offsets(m);
b = blob_offsets(m);
c = proj_coeffs(m);
s = sino_offsets(m);
sinograms{n}(:, s, :) = ...
sinograms{n}(:, s, :) + c * blobs{b}(:, p, :);
end
end
end
self.statistics.toc('bproj_permute_sum');
volumes = self.backprojectVolume@Gt6DVolumeProjector(sinograms);
if (~isempty(self.ss_offsets))
volumes = self.backprojectVolumeSS(volumes, blobs);
end
end
function volumes = backprojectVolumeSS(self, volumes, blobs)
% Similar problem to the projection function, with the only
% difference that in this case the input is blobs and we want to
% transform them into stack of sinograms
numSinograms = numel(self.ss_geometries);
if (self.blob_sinogram_c_functions)
sinograms_sizes = cell(1, numSinograms);
for n = 1:numSinograms
sinograms_sizes{n} = [self.proj_size(1), ...
size(self.ss_geometries{n}, 1), self.proj_size(2)];
end
end
num_ss_geoms = numel(self.ss_geometries);
for n = 1:num_ss_geoms
self.statistics.tic('bproj_permute_ss_single');
if (self.blob_sinogram_c_functions)
ss_sino = internal_cell_blobs_to_single_sinogram( ...
sinograms_sizes{n}, blobs, self.ss_offsets{n});
else
ss_sino = zeros(self.proj_size(1), ...
size(self.ss_geometries{n}, 1), self.proj_size(2), 'single');
sino_offsets = self.ss_offsets{n}.sino_offsets(:);
blob_offsets = self.ss_offsets{n}.blob_offsets(:);
proj_offsets = self.ss_offsets{n}.proj_offsets(:);
proj_coeffs = self.ss_offsets{n}.proj_coeffs(:);
for m = 1:numel(proj_offsets)
p = proj_offsets(m);
b = blob_offsets(m);
c = proj_coeffs(m);
s = sino_offsets(m);
ss_sino(:, s, :) = ...
ss_sino(:, s, :) + c * blobs{b}(:, p, :);
end
end
self.statistics.toc('bproj_permute_ss_single');
volume = self.backprojectSingleVolumeSS(ss_sino, n);
coeffs = self.ss_coeffs(n);
num_inerp = numel(coeffs.indx);
for c = 1:num_inerp
b = coeffs.indx(c);
volumes{b} = volumes{b} + coeffs.coeff(c) * volume;
end
end
num_geoms = numel(self.geometries);
renorm_factor = num_geoms / (num_geoms + num_ss_geoms);
volumes = internal_cell_prod_scalar_assign(volumes, renorm_factor);
end
function y = project(self, x)
self.statistics.tic('fproj_pre_weight_sum');
y = internal_cell_prod_copy(x, self.backwardWeights);
self.statistics.toc('fproj_pre_weight_sum');
y = self.projectVolume(y);
self.statistics.tic('fproj_post_weight_sum');
y = internal_cell_prod_assign(y, self.forwardWeights);
self.statistics.toc('fproj_post_weight_sum');
end
function y = backproject(self, x)
self.statistics.tic('bproj_pre_weight_sum');
y = internal_cell_prod_copy(x, self.forwardWeights);
self.statistics.toc('bproj_pre_weight_sum');
y = self.backprojectVolume(y);
self.statistics.tic('bproj_post_weight_sum');
y = internal_cell_prod_assign(y, self.backwardWeights);
self.statistics.toc('bproj_post_weight_sum');
end
end
end