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111 lines
5.2 KiB
Matlab
111 lines
5.2 KiB
Matlab
% FBP_CPU wrapper around iradonfast_v3 that automatically splits the data into
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% smaller blocks to avoid too large memory allocation and emulate GPU based
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% function tomo.FBP
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%
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% tomogram = FBP_CPU(sinogram, cfg, vectors, varargin)
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%
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% Inputs:
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% **sino - sinogram (Nlayers x width x Nangles)
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% **cfg - config struct from ASTRA_initialize
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% **vectors - vectors of projection rotation generated by ASTRA_initialize
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% *optional*
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% ** valid_angles = [] - list of valid angles, []==all are valid
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% ** filter = 'ram-lak' - name of the FBP filter
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% ** filter_value = 1 - fitlering value for the FBP filter
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% ** verbose = 1 - verbose = 0 : quiet, verbose : standard info , verbose = 2: debug
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% ** use_derivative = false - calculate reconstruction from the phase derivative
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% *returns*
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% ++tomogram - FBP reconstruction
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%*-----------------------------------------------------------------------*
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%| |
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%| Except where otherwise noted, this work is licensed under a |
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%| Creative Commons Attribution-NonCommercial-ShareAlike 4.0 |
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%| International (CC BY-NC-SA 4.0) license. |
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%| |
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%| Copyright (c) 2017 by Paul Scherrer Institute (http://www.psi.ch) |
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%| |
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%| Author: CXS group, PSI |
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%*-----------------------------------------------------------------------*
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% You may use this code with the following provisions:
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%
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% If the code is fully or partially redistributed, or rewritten in another
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% computing language this notice should be included in the redistribution.
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%
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% If this code, or subfunctions or parts of it, is used for research in a
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% publication or if it is fully or partially rewritten for another
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% computing language the authors and institution should be acknowledged
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% in written form in the publication: “Data processing was carried out
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% using the “cSAXS matlab package” developed by the CXS group,
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% Paul Scherrer Institut, Switzerland.”
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% Variations on the latter text can be incorporated upon discussion with
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% the CXS group if needed to more specifically reflect the use of the package
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% for the published work.
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%
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% A publication that focuses on describing features, or parameters, that
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% are already existing in the code should be first discussed with the
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% authors.
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%
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% This code and subroutines are part of a continuous development, they
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% are provided “as they are” without guarantees or liability on part
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% of PSI or the authors. It is the user responsibility to ensure its
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% proper use and the correctness of the results.
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function tomogram = FBP_CPU(sinogram, cfg, vectors, varargin)
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par = inputParser;
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par.addParameter('valid_angles', [])
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par.addParameter('filter', 'ram-lak' )
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par.addParameter('filter_value', 1 )
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par.addOptional('verbose', 1) % verbose = 0 : quiet, verbose : standard info , verbose = 2: debug
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par.addOptional('determine_weights', true)% reweight projections if the angles are not equidistant
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par.addOptional('mask', []) % apply mask on reconstruction
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par.addOptional('use_derivative', false) % calculate reconstruction from the phase derivative
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par.KeepUnmatched = true;
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par.parse(varargin{:})
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r = par.Results;
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if r.verbose
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disp('====== FBP ==========')
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end
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if r.use_derivative
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extra_args = {'derivative'};
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else
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extra_args = {};
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end
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if ~isempty(r.valid_angles)
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sinogram = sinogram(:,:,r.valid_angles);
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vectors = vectors(r.valid_angles,:);
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end
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% calculate the original angles
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theta = rad2deg(pi-atan2(vectors(:,2),-vectors(:,1)))';
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lamino_angle = rad2deg(pi/2-atan2(vectors(:,3), vectors(:,1)./cos(theta)));
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if abs(lamino_angle - 90) > 1e-2
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error('CPU implementation of FBP does not support laminography')
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end
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[Nlayers,tomo_size,Nangles] = size(sinogram) ;
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block_size = ceil(2e9/(tomo_size*Nangles*4)); % split the task into ~2GB blocks
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Nblocks = ceil(Nlayers / block_size );
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% preallocate array to store results
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tomogram = zeros(tomo_size, tomo_size, Nlayers, 'single');
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for ii = 1:Nblocks
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ind = 1+(ii-1)*block_size:min(ii*block_size, Nlayers);
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tomogram(:,:,ind) =tomo.iradonfast_v3(permute(sinogram(ind,:,:),[2,3,1]), theta, 'linear', r.filter, tomo_size, r.filter_value, extra_args{:}); % Calculate slice
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end
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% make the results equivalent to the GPU version
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tomogram = utils.imshift_fft(tomogram, [0.5,0.5] );
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tomogram = utils.crop_pad(tomogram, [cfg.iVolX, cfg.iVolY]);
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if ~isempty(r.mask)
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tomogram = tomogram .* r.mask;
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end
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end
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