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% FBP_CPU wrapper around iradonfast_v3 that automatically splits the data into
% smaller blocks to avoid too large memory allocation and emulate GPU based
% function tomo.FBP
%
% tomogram = FBP_CPU(sinogram, cfg, vectors, varargin)
%
% Inputs:
% **sino - sinogram (Nlayers x width x Nangles)
% **cfg - config struct from ASTRA_initialize
% **vectors - vectors of projection rotation generated by ASTRA_initialize
% *optional*
% ** valid_angles = [] - list of valid angles, []==all are valid
% ** filter = 'ram-lak' - name of the FBP filter
% ** filter_value = 1 - fitlering value for the FBP filter
% ** verbose = 1 - verbose = 0 : quiet, verbose : standard info , verbose = 2: debug
% ** use_derivative = false - calculate reconstruction from the phase derivative
% *returns*
% ++tomogram - FBP 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) 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.
function tomogram = FBP_CPU(sinogram, cfg, vectors, varargin)
par = inputParser;
par.addParameter('valid_angles', [])
par.addParameter('filter', 'ram-lak' )
par.addParameter('filter_value', 1 )
par.addOptional('verbose', 1) % verbose = 0 : quiet, verbose : standard info , verbose = 2: debug
par.addOptional('determine_weights', true)% reweight projections if the angles are not equidistant
par.addOptional('mask', []) % apply mask on reconstruction
par.addOptional('use_derivative', false) % calculate reconstruction from the phase derivative
par.KeepUnmatched = true;
par.parse(varargin{:})
r = par.Results;
if r.verbose
disp('====== FBP ==========')
end
if r.use_derivative
extra_args = {'derivative'};
else
extra_args = {};
end
if ~isempty(r.valid_angles)
sinogram = sinogram(:,:,r.valid_angles);
vectors = vectors(r.valid_angles,:);
end
% calculate the original angles
theta = rad2deg(pi-atan2(vectors(:,2),-vectors(:,1)))';
lamino_angle = rad2deg(pi/2-atan2(vectors(:,3), vectors(:,1)./cos(theta)));
if abs(lamino_angle - 90) > 1e-2
error('CPU implementation of FBP does not support laminography')
end
[Nlayers,tomo_size,Nangles] = size(sinogram) ;
block_size = ceil(2e9/(tomo_size*Nangles*4)); % split the task into ~2GB blocks
Nblocks = ceil(Nlayers / block_size );
% preallocate array to store results
tomogram = zeros(tomo_size, tomo_size, Nlayers, 'single');
for ii = 1:Nblocks
ind = 1+(ii-1)*block_size:min(ii*block_size, Nlayers);
tomogram(:,:,ind) =tomo.iradonfast_v3(permute(sinogram(ind,:,:),[2,3,1]), theta, 'linear', r.filter, tomo_size, r.filter_value, extra_args{:}); % Calculate slice
end
% make the results equivalent to the GPU version
tomogram = utils.imshift_fft(tomogram, [0.5,0.5] );
tomogram = utils.crop_pad(tomogram, [cfg.iVolX, cfg.iVolY]);
if ~isempty(r.mask)
tomogram = tomogram .* r.mask;
end
end